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Merge pull request #10 from yaojingang/codex/meta-skill-entrypoint-clarity

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Clarify meta skill workflow boundaries
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YAO
2026-07-02 15:10:40 +08:00
committed by GitHub
parent 8455eff29a 6725a57538
commit c37915e4f6
37 changed files with 396 additions and 338 deletions
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SKILL.md
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@@ -15,28 +15,28 @@ metadata:
## Modes
- `Scaffold`: exploratory/personal. `Production`: team reuse. `Library`: shared infrastructure. `Governed`: high-trust, policy-sensitive, or release-critical.
- `Scaffold`: exploratory/personal. `Production`: team reuse. `Library`: shared infra. `Governed`: high-trust/release-critical.
- Rules: [Method](references/skill-engineering-method.md), [Operating Modes](references/operating-modes.md), [Resource Boundaries](references/resource-boundaries.md).
## Compact Workflow
1. For one-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.
2. Capture job, output, exclusions, constraints, standards, and the lightest fit.
3. Scan references in order: external benchmark, user source, local fit; surface only uncertainty or conflict.
4. Write `description` early, test route quality, then add only earned folders and gates.
5. Add output-risk, artifact-design, prompt-quality, system-model, and next directions only when useful.
1. One-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.
2. Capture job, output, exclusions, constraints, standards, lightest fit.
3. Scan up to `3-5` references: external, user, local; skip tiny edits; surface only uncertainty/conflict.
4. Write `description` early; route/boundary edits need `trigger_eval.py`; releases need risk-matched gates before folders.
5. Add output-risk, artifact-design, prompt-quality, system-model, next directions only when earned.
Playbooks: [Method](references/skill-engineering-method.md), [Intent](references/intent-dialogue.md), [Skill IR](references/skill-ir-method.md), [Output Eval](references/output-eval-method.md), [Review Studio](references/review-studio-method.md).
## Skill OS 2.0 Gates
For production, library, governed, or team-distributed work, run Skill IR, target compiler, trigger + output eval, Skill Atlas, conformance, trust, registry/package/install, upgrade, drift, waiver, and Review Studio gates before release.
For production/library/governed/team releases, run Skill IR, compiler, trigger/output eval, Skill Atlas, conformance, trust, registry/package/install, upgrade, drift, waiver, Review Studio.
## Governed Package Boundary
For file-backed, release-critical, or governed packages, name `input_files` as `file-backed fixture` evidence; include `owner`, `review cadence`, `input_files`, `output contract`, `rollback boundary`; require `trust report` and `reports/output_quality_scorecard.md`; mark unavailable telemetry, approvals, metrics, or benchmarks as `missing evidence`; do not fabricate evidence.
For file-backed/release-critical/governed packages, name `input_files` as `file-backed fixture`; include `owner`, `review cadence`, `input_files`, `output contract`, `rollback boundary`; require `trust report` and `reports/output_quality_scorecard.md`; mark unavailable telemetry/approvals/metrics/benchmarks as `missing evidence`; do not fabricate evidence.
Preserve audit labels literally when they apply: `file-backed fixture`, `input_files`, `output contract`, `rollback boundary`, `trust report`, `reports/output_quality_scorecard.md`, `missing evidence`.
Preserve labels literally when they apply: `file-backed fixture`, `input_files`, `output contract`, `rollback boundary`, `trust report`, `reports/output_quality_scorecard.md`, `missing evidence`.
## First-Turn Style
@@ -46,8 +46,8 @@ Preserve audit labels literally when they apply: `file-backed fixture`, `input_f
## Output Contract
Unless asked otherwise, produce `SKILL.md`, aligned `agents/interface.yaml`, justified assets, and a short summary of boundary, exclusions, gates, and next steps.
Create/refactor/package: produce `SKILL.md`, aligned `agents/interface.yaml`, justified assets, boundary/exclusion/gate summary. Audit/evaluate-only: findings + proposed fixes; edit files only if asked. No-skill: no files.
## Reference Map
Primary: [Method](references/skill-engineering-method.md), [Artifact Design](references/artifact-design-doctrine.md), [Systems Thinking](references/systems-thinking-doctrine.md), [Governance](references/governance.md), [SkillOps Decision](references/skillops-decision-policy.md).
Primary: [Method](references/skill-engineering-method.md), [Artifact Design](references/artifact-design-doctrine.md), [Systems](references/systems-thinking-doctrine.md), [Governance](references/governance.md), [SkillOps](references/skillops-decision-policy.md).
registry/index.json
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@@ -16,7 +16,7 @@
"vscode"
],
"package_metadata": "registry/packages/yao-meta-skill.json",
"package_sha256": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3"
"package_sha256": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c"
}
]
}
registry/packages/yao-meta-skill.json
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@@ -16,7 +16,7 @@
"trust_level": "local",
"license": "MIT",
"checksums": {
"package_sha256": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3",
"package_sha256": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c",
"archive_sha256": "c56a8519244c0bc8ec17c92d4641c832629cc059f4b51fe177a2c039515253a7"
},
"compatibility": {
reports/adaptation_proposals.json
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@@ -1,7 +1,7 @@
{
"schema_version": "1.0",
"ok": true,
"generated_at": "2026-07-02T03:41:56Z",
"generated_at": "2026-07-02T06:33:07Z",
"skill_dir": ".",
"source_patterns": "reports/user_patterns.json",
"pattern_count": 5,
reports/adaptation_proposals.md
+1 -1
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@@ -1,6 +1,6 @@
# Adaptation Proposals
- Generated at: `2026-07-02T03:41:56Z`
- Generated at: `2026-07-02T06:33:07Z`
- Pattern report: `reports/user_patterns.json`
- Proposal only: `true`
- Writes repository files: `false`
reports/adoption_drift_report.json
+1 -1
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@@ -1,7 +1,7 @@
{
"ok": true,
"schema_version": "2.0",
"generated_at": "2026-07-02T03:42:30Z",
"generated_at": "2026-07-02T06:33:44Z",
"skill_dir": ".",
"privacy_contract": {
"storage": "local-first",
reports/benchmark_reproducibility.json
+30 -31
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@@ -3,32 +3,31 @@
"ok": true,
"generated_at": "2026-07-02",
"skill_dir": ".",
"commit": "1710a5a3e0177313954758908735c147796e8981",
"commit": "24bea607a2b16e766bc8f2bc8483f22fae1edc61",
"git_status": {
"available": true,
"dirty": true,
"changed_file_count": 84,
"changed_file_count": 37,
"generated_dirty": true,
"generated_changed_file_count": 82,
"generated_changed_file_count": 36,
"source_dirty": true,
"source_changed_file_count": 2,
"source_changed_file_count": 1,
"sample": [
" M SKILL.md",
" M evals/improved_description.txt",
" M registry/index.json",
" M registry/packages/yao-meta-skill.json",
" M reports/adaptation_proposals.json",
" M reports/adaptation_proposals.md",
" M reports/adoption_drift_report.json",
" M reports/artifact-design-profile.json",
" M reports/artifact-design-profile.md",
" M reports/baseline-compare.json",
" M reports/benchmark_reproducibility.json",
" M reports/benchmark_reproducibility.md"
" M reports/benchmark_reproducibility.md",
" M reports/compiled_targets.json",
" M reports/context_budget.json",
" M reports/context_budget.md",
" M reports/context_budget_summary.json"
],
"source_sample": [
" M SKILL.md",
" M evals/improved_description.txt"
" M SKILL.md"
],
"generated_sample": [
" M registry/index.json",
@@ -36,13 +35,13 @@
" M reports/adaptation_proposals.json",
" M reports/adaptation_proposals.md",
" M reports/adoption_drift_report.json",
" M reports/artifact-design-profile.json",
" M reports/artifact-design-profile.md",
" M reports/baseline-compare.json",
" M reports/benchmark_reproducibility.json",
" M reports/benchmark_reproducibility.md",
" M reports/candidate_registry.json",
" M reports/candidate_registry.md"
" M reports/compiled_targets.json",
" M reports/context_budget.json",
" M reports/context_budget.md",
" M reports/context_budget_summary.json",
" M reports/evidence_consistency.json"
],
"generated_dirty_prefixes": [
"dist/",
@@ -60,8 +59,8 @@
"methodology_complete": true,
"required_artifact_count": 25,
"missing_artifact_count": 0,
"evidence_bundle_sha256": "639707e807e5ec8460f6aa6d1e5ba34874bb3228160555d8a01dbc37620d4873",
"source_contract_sha256": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3",
"evidence_bundle_sha256": "6c95043c2d8513102b37bc70a01647246933c84e8a27c2748cc2cae20e040158",
"source_contract_sha256": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c",
"archive_sha256": "c56a8519244c0bc8ec17c92d4641c832629cc059f4b51fe177a2c039515253a7",
"output_case_count": 5,
"failure_disclosure_count": 3,
@@ -85,11 +84,11 @@
"public_claim_ready": false,
"public_claim_blocker_count": 4,
"working_tree_dirty": true,
"changed_file_count": 84,
"changed_file_count": 37,
"source_tree_dirty": true,
"source_changed_file_count": 2,
"source_changed_file_count": 1,
"generated_tree_dirty": true,
"generated_changed_file_count": 82
"generated_changed_file_count": 36
},
"beta_test_release": {
"ready": false,
@@ -135,10 +134,10 @@
},
"release_lock": {
"ready": false,
"commit": "1710a5a3e0177313954758908735c147796e8981",
"commit": "24bea607a2b16e766bc8f2bc8483f22fae1edc61",
"status_scope": "generation-time status before this report is written",
"source_changed_file_count": 2,
"generated_changed_file_count": 82,
"source_changed_file_count": 1,
"generated_changed_file_count": 36,
"reason": "source files were dirty at generation time"
},
"evidence_bundle": {
@@ -147,7 +146,7 @@
"existing_count": 25,
"missing_count": 0,
"missing_paths": [],
"sha256": "639707e807e5ec8460f6aa6d1e5ba34874bb3228160555d8a01dbc37620d4873"
"sha256": "6c95043c2d8513102b37bc70a01647246933c84e8a27c2748cc2cae20e040158"
},
"methodology": {
"path": "reports/benchmark_methodology.md",
@@ -256,7 +255,7 @@
"path": "reports/security_trust_report.json",
"exists": true,
"bytes": 139090,
"sha256": "ffe2c88bbdbac4907bf8db8f01b9a6b2da78e83acdffb3d975e99424274cd9f7"
"sha256": "108aee597a1f245f73d9b69454b6fa8a144545f905231a7c314364c7066541c6"
},
{
"label": "python_compatibility",
@@ -270,7 +269,7 @@
"path": "reports/registry_audit.json",
"exists": true,
"bytes": 3155,
"sha256": "9be6de364d69a2ad40b68b460a35c91476e822eb008cfe4d5e8614c1e989d3d4"
"sha256": "d307675d5c6c3cd2f104ce7d963b37d36113f35334e4c6895b55fbb8b255e915"
},
{
"label": "package_verification",
@@ -318,8 +317,8 @@
"label": "world_class_evidence_preflight",
"path": "reports/world_class_evidence_preflight.json",
"exists": true,
"bytes": 90852,
"sha256": "a0b00eed5450b33ec29fea6652d41db216931452eeddd0d99f2d90aa20c44d95"
"bytes": 90854,
"sha256": "06e93b1c0c99107002466d9418a4910c82397bce26c3bbdd5b5cc9875eeb65b2"
},
{
"label": "world_class_submission_review",
@@ -353,8 +352,8 @@
"label": "world_class_claim_guard",
"path": "reports/world_class_claim_guard.json",
"exists": true,
"bytes": 20102,
"sha256": "5eb808496802e8f972e5aa738d99f3b4a37ff34c8ab495f25ff2db3e7237239f"
"bytes": 20713,
"sha256": "911ba833055ab857250f88d88ccdd0bb652076a81214f725c49d763352035572"
}
],
"missing_artifacts": [],
reports/benchmark_reproducibility.md
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@@ -1,11 +1,11 @@
# Benchmark Reproducibility
Generated at: `2026-07-02`
Commit: `1710a5a3e0177313954758908735c147796e8981`
Commit: `24bea607a2b16e766bc8f2bc8483f22fae1edc61`
Working tree dirty at generation: `true`
Source tree dirty at generation: `true`
Generated evidence dirty at generation: `true`
Evidence bundle SHA256: `639707e807e5ec8460f6aa6d1e5ba34874bb3228160555d8a01dbc37620d4873`
Evidence bundle SHA256: `6c95043c2d8513102b37bc70a01647246933c84e8a27c2748cc2cae20e040158`
## Summary
@@ -14,7 +14,7 @@ Evidence bundle SHA256: `639707e807e5ec8460f6aa6d1e5ba34874bb3228160555d8a01dbc3
- methodology complete: `true`
- required artifacts: `25`
- missing artifacts: `0`
- source contract sha256: `e0863533e0a0`
- source contract sha256: `db71157184dc`
- archive sha256: `c56a8519244c`
- output cases: `5`
- disclosed failure cases: `3`
@@ -28,9 +28,9 @@ Evidence bundle SHA256: `639707e807e5ec8460f6aa6d1e5ba34874bb3228160555d8a01dbc3
- beta deferred evidence: `4`
- public claim ready: `false`
- public claim blockers: `4`
- changed files at generation: `84`
- source changed files at generation: `2`
- generated changed files at generation: `82`
- changed files at generation: `37`
- source changed files at generation: `1`
- generated changed files at generation: `36`
This report proves local benchmark reproducibility only. It keeps external provider and human-review gaps visible instead of counting them as complete. The git commit and dirty samples are generation-time context; the evidence bundle SHA is the durable anchor for the artifacts listed below.
@@ -75,7 +75,7 @@ This report proves local benchmark reproducibility only. It keeps external provi
- algorithm: `sha256(path,label,exists,artifact_sha256)`
- artifacts: `25` / `25`
- sha256: `639707e807e5ec8460f6aa6d1e5ba34874bb3228160555d8a01dbc37620d4873`
- sha256: `6c95043c2d8513102b37bc70a01647246933c84e8a27c2748cc2cae20e040158`
## Methodology Sections
@@ -102,21 +102,21 @@ This report proves local benchmark reproducibility only. It keeps external provi
| review_adjudication | `reports/output_review_adjudication.json` | present | `91fd88dd9b0f` |
| trigger_scorecard | `reports/route_scorecard.json` | present | `53fc22d220dc` |
| runtime_conformance | `reports/conformance_matrix.json` | present | `97f9ba949c23` |
| trust_report | `reports/security_trust_report.json` | present | `ffe2c88bbdba` |
| trust_report | `reports/security_trust_report.json` | present | `108aee597a1f` |
| python_compatibility | `reports/python_compatibility.json` | present | `4d82942052a2` |
| registry_audit | `reports/registry_audit.json` | present | `9be6de364d69` |
| registry_audit | `reports/registry_audit.json` | present | `d307675d5c6c` |
| package_verification | `reports/package_verification.json` | present | `e2ad726ce048` |
| install_simulation | `reports/install_simulation.json` | present | `65adf51d8c4b` |
| skill_os2_audit | `reports/skill_os2_audit.json` | present | `150c0027deaa` |
| world_class_evidence_plan | `reports/world_class_evidence_plan.json` | present | `483ed2b3bd02` |
| world_class_evidence_ledger | `reports/world_class_evidence_ledger.json` | present | `b19e7113ec46` |
| world_class_evidence_intake | `reports/world_class_evidence_intake.json` | present | `885bff9c1c85` |
| world_class_evidence_preflight | `reports/world_class_evidence_preflight.json` | present | `a0b00eed5450` |
| world_class_evidence_preflight | `reports/world_class_evidence_preflight.json` | present | `06e93b1c0c99` |
| world_class_submission_review | `reports/world_class_submission_review.json` | present | `e8df5c72ade7` |
| world_class_operator_runbook | `reports/world_class_operator_runbook.json` | present | `bb67813244d6` |
| world_class_operator_runbook_markdown | `reports/world_class_operator_runbook.md` | present | `e8d4dee75413` |
| world_class_operator_runbook_html | `reports/world_class_operator_runbook.html` | present | `022594013b24` |
| world_class_claim_guard | `reports/world_class_claim_guard.json` | present | `5eb808496802` |
| world_class_claim_guard | `reports/world_class_claim_guard.json` | present | `911ba833055a` |
## Reproduction Commands
reports/compiled_targets.json
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@@ -77,17 +77,17 @@
},
"workflow": {
"steps": [
"For one-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, and the lightest fit.",
"Scan references in order: external benchmark, user source, local fit; surface only uncertainty or conflict.",
"Write `description` early, test route quality, then add only earned folders and gates.",
"Add output-risk, artifact-design, prompt-quality, system-model, and next directions only when useful."
"One-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, lightest fit.",
"Scan up to `3-5` references: external, user, local; skip tiny edits; surface only uncertainty/conflict.",
"Write `description` early; route/boundary edits need `trigger_eval.py`; releases need risk-matched gates before folders.",
"Add output-risk, artifact-design, prompt-quality, system-model, next directions only when earned."
],
"decision_points": [
"Route by frontmatter `description`.",
"Keep `SKILL.md` lean; put guidance in `references/`, logic in `scripts/`, and evidence in `reports/`.",
"Use the lightest reliable process.",
"`Scaffold`: exploratory/personal. `Production`: team reuse. `Library`: shared infrastructure. `Governed`: high-trust, policy-sensitive, or release-critical.",
"`Scaffold`: exploratory/personal. `Production`: team reuse. `Library`: shared infra. `Governed`: high-trust/release-critical.",
"Rules: [Method](references/skill-engineering-method.md), [Operating Modes](references/operating-modes.md), [Resource Boundaries](references/resource-boundaries.md).",
"Ask one focused clarification when the real job, output, or exclusion boundary is unclear.",
"Escalate visible tradeoffs when benchmark patterns conflict with local privacy, naming, or governance constraints.",
@@ -1034,17 +1034,17 @@
},
"workflow": {
"steps": [
"For one-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, and the lightest fit.",
"Scan references in order: external benchmark, user source, local fit; surface only uncertainty or conflict.",
"Write `description` early, test route quality, then add only earned folders and gates.",
"Add output-risk, artifact-design, prompt-quality, system-model, and next directions only when useful."
"One-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, lightest fit.",
"Scan up to `3-5` references: external, user, local; skip tiny edits; surface only uncertainty/conflict.",
"Write `description` early; route/boundary edits need `trigger_eval.py`; releases need risk-matched gates before folders.",
"Add output-risk, artifact-design, prompt-quality, system-model, next directions only when earned."
],
"decision_points": [
"Route by frontmatter `description`.",
"Keep `SKILL.md` lean; put guidance in `references/`, logic in `scripts/`, and evidence in `reports/`.",
"Use the lightest reliable process.",
"`Scaffold`: exploratory/personal. `Production`: team reuse. `Library`: shared infrastructure. `Governed`: high-trust, policy-sensitive, or release-critical.",
"`Scaffold`: exploratory/personal. `Production`: team reuse. `Library`: shared infra. `Governed`: high-trust/release-critical.",
"Rules: [Method](references/skill-engineering-method.md), [Operating Modes](references/operating-modes.md), [Resource Boundaries](references/resource-boundaries.md).",
"Ask one focused clarification when the real job, output, or exclusion boundary is unclear.",
"Escalate visible tradeoffs when benchmark patterns conflict with local privacy, naming, or governance constraints.",
@@ -1991,17 +1991,17 @@
},
"workflow": {
"steps": [
"For one-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, and the lightest fit.",
"Scan references in order: external benchmark, user source, local fit; surface only uncertainty or conflict.",
"Write `description` early, test route quality, then add only earned folders and gates.",
"Add output-risk, artifact-design, prompt-quality, system-model, and next directions only when useful."
"One-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, lightest fit.",
"Scan up to `3-5` references: external, user, local; skip tiny edits; surface only uncertainty/conflict.",
"Write `description` early; route/boundary edits need `trigger_eval.py`; releases need risk-matched gates before folders.",
"Add output-risk, artifact-design, prompt-quality, system-model, next directions only when earned."
],
"decision_points": [
"Route by frontmatter `description`.",
"Keep `SKILL.md` lean; put guidance in `references/`, logic in `scripts/`, and evidence in `reports/`.",
"Use the lightest reliable process.",
"`Scaffold`: exploratory/personal. `Production`: team reuse. `Library`: shared infrastructure. `Governed`: high-trust, policy-sensitive, or release-critical.",
"`Scaffold`: exploratory/personal. `Production`: team reuse. `Library`: shared infra. `Governed`: high-trust/release-critical.",
"Rules: [Method](references/skill-engineering-method.md), [Operating Modes](references/operating-modes.md), [Resource Boundaries](references/resource-boundaries.md).",
"Ask one focused clarification when the real job, output, or exclusion boundary is unclear.",
"Escalate visible tradeoffs when benchmark patterns conflict with local privacy, naming, or governance constraints.",
@@ -2932,17 +2932,17 @@
},
"workflow": {
"steps": [
"For one-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, and the lightest fit.",
"Scan references in order: external benchmark, user source, local fit; surface only uncertainty or conflict.",
"Write `description` early, test route quality, then add only earned folders and gates.",
"Add output-risk, artifact-design, prompt-quality, system-model, and next directions only when useful."
"One-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, lightest fit.",
"Scan up to `3-5` references: external, user, local; skip tiny edits; surface only uncertainty/conflict.",
"Write `description` early; route/boundary edits need `trigger_eval.py`; releases need risk-matched gates before folders.",
"Add output-risk, artifact-design, prompt-quality, system-model, next directions only when earned."
],
"decision_points": [
"Route by frontmatter `description`.",
"Keep `SKILL.md` lean; put guidance in `references/`, logic in `scripts/`, and evidence in `reports/`.",
"Use the lightest reliable process.",
"`Scaffold`: exploratory/personal. `Production`: team reuse. `Library`: shared infrastructure. `Governed`: high-trust, policy-sensitive, or release-critical.",
"`Scaffold`: exploratory/personal. `Production`: team reuse. `Library`: shared infra. `Governed`: high-trust/release-critical.",
"Rules: [Method](references/skill-engineering-method.md), [Operating Modes](references/operating-modes.md), [Resource Boundaries](references/resource-boundaries.md).",
"Ask one focused clarification when the real job, output, or exclusion boundary is unclear.",
"Escalate visible tradeoffs when benchmark patterns conflict with local privacy, naming, or governance constraints.",
@@ -3873,17 +3873,17 @@
},
"workflow": {
"steps": [
"For one-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, and the lightest fit.",
"Scan references in order: external benchmark, user source, local fit; surface only uncertainty or conflict.",
"Write `description` early, test route quality, then add only earned folders and gates.",
"Add output-risk, artifact-design, prompt-quality, system-model, and next directions only when useful."
"One-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, lightest fit.",
"Scan up to `3-5` references: external, user, local; skip tiny edits; surface only uncertainty/conflict.",
"Write `description` early; route/boundary edits need `trigger_eval.py`; releases need risk-matched gates before folders.",
"Add output-risk, artifact-design, prompt-quality, system-model, next directions only when earned."
],
"decision_points": [
"Route by frontmatter `description`.",
"Keep `SKILL.md` lean; put guidance in `references/`, logic in `scripts/`, and evidence in `reports/`.",
"Use the lightest reliable process.",
"`Scaffold`: exploratory/personal. `Production`: team reuse. `Library`: shared infrastructure. `Governed`: high-trust, policy-sensitive, or release-critical.",
"`Scaffold`: exploratory/personal. `Production`: team reuse. `Library`: shared infra. `Governed`: high-trust/release-critical.",
"Rules: [Method](references/skill-engineering-method.md), [Operating Modes](references/operating-modes.md), [Resource Boundaries](references/resource-boundaries.md).",
"Ask one focused clarification when the real job, output, or exclusion boundary is unclear.",
"Escalate visible tradeoffs when benchmark patterns conflict with local privacy, naming, or governance constraints.",
reports/context_budget.json
+6 -6
View File
@@ -5,10 +5,10 @@
"stats": {
"context_budget_tier": "production",
"context_budget_limit": 1000,
"skill_body_tokens": 806,
"other_text_tokens": 1200438,
"estimated_initial_load_tokens": 999,
"estimated_total_text_tokens": 1201244,
"skill_body_tokens": 794,
"other_text_tokens": 1200569,
"estimated_initial_load_tokens": 987,
"estimated_total_text_tokens": 1201363,
"deferred_resource_tokens": 531767,
"deferred_resource_warn_threshold": 120000,
"deferred_resource_dirs": [
@@ -66,9 +66,9 @@
],
"summary": "Large deferred resources are indexed and backed by evidence."
},
"relevant_file_count": 590,
"relevant_file_count": 591,
"unused_resource_dirs": [],
"quality_signal_points": 140,
"quality_density": 140.1
"quality_density": 141.8
}
}
reports/context_budget.md
+1 -1
View File
@@ -2,7 +2,7 @@
| Target | Path | Tier | Limit | Initial | SKILL | Deferred | Resource Governance | Large Deferred Dirs | Quality Density | Unused Dirs | Status |
| --- | --- | --- | ---: | ---: | ---: | ---: | --- | --- | ---: | --- | --- |
| root | `.` | `production` | 1000 | 999 | 806 | 531767 | `governed` | scripts:469568 | 140.1 | - | ok |
| root | `.` | `production` | 1000 | 987 | 794 | 531767 | `governed` | scripts:469568 | 141.8 | - | ok |
| complex-release-orchestrator | `examples/complex-release-orchestrator/generated-skill` | `production` | 1000 | 790 | 718 | 1657 | `not-required` | - | 164.6 | - | ok |
| governed-incident-command | `examples/governed-incident-command/generated-skill` | `production` | 1000 | 760 | 658 | 1030 | `not-required` | - | 171.1 | - | ok |
reports/context_budget_summary.json
+3 -3
View File
@@ -6,8 +6,8 @@
"path": ".",
"budget_tier": "production",
"budget_limit": 1000,
"initial_tokens": 999,
"skill_body_tokens": 806,
"initial_tokens": 987,
"skill_body_tokens": 794,
"deferred_resource_tokens": 531767,
"large_deferred_resource_dirs": [
{
@@ -42,7 +42,7 @@
],
"summary": "Large deferred resources are indexed and backed by evidence."
},
"quality_density": 140.1,
"quality_density": 141.8,
"unused_resource_dirs": [],
"ok": true,
"warnings": []
reports/evidence_consistency.json
+30 -26
View File
@@ -324,12 +324,12 @@
"status": "pass",
"expected": {
"status": "pass",
"detail": "initial load 999/1000; deferred 531767/120000; top deferred scripts 469568; resource governance governed; quality density 140.1",
"detail": "initial load 987/1000; deferred 531767/120000; top deferred scripts 469568; resource governance governed; quality density 141.8",
"evidence": "reports/context_budget.json"
},
"actual": {
"status": "pass",
"detail": "initial load 999/1000; deferred 531767/120000; top deferred scripts 469568; resource governance governed; quality density 140.1",
"detail": "initial load 987/1000; deferred 531767/120000; top deferred scripts 469568; resource governance governed; quality density 141.8",
"evidence": "reports/context_budget.json"
},
"paths": [
@@ -357,7 +357,7 @@
"actual": {
"available": true,
"clean": false,
"changed_file_count": 76
"changed_file_count": 39
},
"paths": [
"reports/benchmark_reproducibility.json"
@@ -398,8 +398,8 @@
"key": "overview-benchmark-commit",
"label": "overview embeds the benchmark commit",
"status": "pass",
"expected": "1710a5a3e0177313954758908735c147796e8981",
"actual": "1710a5a3e0177313954758908735c147796e8981",
"expected": "24bea607a2b16e766bc8f2bc8483f22fae1edc61",
"actual": "24bea607a2b16e766bc8f2bc8483f22fae1edc61",
"paths": [
"reports/benchmark_reproducibility.json",
"reports/skill-overview.json"
@@ -414,7 +414,7 @@
"release_lock_ready": false,
"required_artifact_count": 25,
"missing_artifact_count": 0,
"source_contract_sha256": "f0333ea256d221c8993809b4366f93d9874defe6c722fbf95c8f524bdf9d3289",
"source_contract_sha256": "b5cfa61c532d9ecd55d4d3a91aaf249bab0393251319a0f391422edb07a9e658",
"archive_sha256": "c56a8519244c0bc8ec17c92d4641c832629cc059f4b51fe177a2c039515253a7",
"world_class_ledger_pending_count": 4,
"world_class_source_check_count": 19,
@@ -430,7 +430,7 @@
"release_lock_ready": false,
"required_artifact_count": 25,
"missing_artifact_count": 0,
"source_contract_sha256": "f0333ea256d221c8993809b4366f93d9874defe6c722fbf95c8f524bdf9d3289",
"source_contract_sha256": "b5cfa61c532d9ecd55d4d3a91aaf249bab0393251319a0f391422edb07a9e658",
"archive_sha256": "c56a8519244c0bc8ec17c92d4641c832629cc059f4b51fe177a2c039515253a7",
"world_class_ledger_pending_count": 4,
"world_class_source_check_count": 19,
@@ -550,8 +550,8 @@
"key": "interpretation-benchmark-commit",
"label": "interpretation embeds the benchmark commit",
"status": "pass",
"expected": "1710a5a3e0177313954758908735c147796e8981",
"actual": "1710a5a3e0177313954758908735c147796e8981",
"expected": "24bea607a2b16e766bc8f2bc8483f22fae1edc61",
"actual": "24bea607a2b16e766bc8f2bc8483f22fae1edc61",
"paths": [
"reports/benchmark_reproducibility.json",
"reports/skill-interpretation.json"
@@ -566,7 +566,7 @@
"release_lock_ready": false,
"required_artifact_count": 25,
"missing_artifact_count": 0,
"source_contract_sha256": "f0333ea256d221c8993809b4366f93d9874defe6c722fbf95c8f524bdf9d3289",
"source_contract_sha256": "b5cfa61c532d9ecd55d4d3a91aaf249bab0393251319a0f391422edb07a9e658",
"archive_sha256": "c56a8519244c0bc8ec17c92d4641c832629cc059f4b51fe177a2c039515253a7",
"world_class_ledger_pending_count": 4,
"world_class_source_check_count": 19,
@@ -582,7 +582,7 @@
"release_lock_ready": false,
"required_artifact_count": 25,
"missing_artifact_count": 0,
"source_contract_sha256": "f0333ea256d221c8993809b4366f93d9874defe6c722fbf95c8f524bdf9d3289",
"source_contract_sha256": "b5cfa61c532d9ecd55d4d3a91aaf249bab0393251319a0f391422edb07a9e658",
"archive_sha256": "c56a8519244c0bc8ec17c92d4641c832629cc059f4b51fe177a2c039515253a7",
"world_class_ledger_pending_count": 4,
"world_class_source_check_count": 19,
@@ -739,7 +739,7 @@
"label": "可维护性",
"score": 100,
"reasons": [
"SKILL.md 约 342 个词/字。",
"SKILL.md 约 314 个词/字。",
"入口文件保持克制，可维护性较好。",
"references/ 已承载扩展指导。",
"scripts/ 已承载确定性逻辑。",
@@ -760,7 +760,7 @@
"label": "上下文成本",
"score": 42,
"reasons": [
"入口约 342 个词/字，references 约 16934 个词/字。",
"入口约 314 个词/字，references 约 16934 个词/字。",
"分数越高代表上下文成本越低。",
"上下文成本偏高，建议压缩入口或拆分 references。"
]
@@ -803,7 +803,7 @@
"label": "可维护性",
"score": 100,
"reasons": [
"SKILL.md 约 342 个词/字。",
"SKILL.md 约 314 个词/字。",
"入口文件保持克制，可维护性较好。",
"references/ 已承载扩展指导。",
"scripts/ 已承载确定性逻辑。",
@@ -824,7 +824,7 @@
"label": "上下文成本",
"score": 42,
"reasons": [
"入口约 342 个词/字，references 约 16934 个词/字。",
"入口约 314 个词/字，references 约 16934 个词/字。",
"分数越高代表上下文成本越低。",
"上下文成本偏高，建议压缩入口或拆分 references。"
]
@@ -1056,7 +1056,7 @@
"已生成 Output Review Adjudication，可记录盲评决策、一致率和待评审项。"
],
"gaps": [
"上下文成本需要补强：入口约 342 个词/字，references 约 16934 个词/字。"
"上下文成本需要补强：入口约 314 个词/字，references 约 16934 个词/字。"
],
"recommendations": [
"先改触发边界，再扩展工作流。",
@@ -1104,7 +1104,7 @@
"已生成 Output Review Adjudication，可记录盲评决策、一致率和待评审项。"
],
"gaps": [
"上下文成本需要补强：入口约 342 个词/字，references 约 16934 个词/字。"
"上下文成本需要补强：入口约 314 个词/字，references 约 16934 个词/字。"
],
"recommendations": [
"先改触发边界，再扩展工作流。",
@@ -1179,7 +1179,7 @@
"name": "包体膨胀风险",
"impact": 2,
"probability": 1,
"signal": "SKILL.md 约 342 个词/字。",
"signal": "SKILL.md 约 314 个词/字。",
"response": "先补证据和边界，再增加包体复杂度。"
},
{
@@ -1338,7 +1338,7 @@
"name": "包体膨胀风险",
"impact": 2,
"probability": 1,
"signal": "SKILL.md 约 342 个词/字。",
"signal": "SKILL.md 约 314 个词/字。",
"response": "先补证据和边界，再增加包体复杂度。"
},
{
@@ -2139,8 +2139,8 @@
"artifact_prefill_counts_as_evidence": false,
"submission_ref_total_count": 2,
"submission_ref_ready_count": 2,
"supporting_evidence_total_count": 8,
"supporting_evidence_ready_count": 7,
"supporting_evidence_total_count": 11,
"supporting_evidence_ready_count": 11,
"submission_ref_copy_to_artifact_refs": true,
"supporting_evidence_copy_to_artifact_refs": false
},
@@ -2185,8 +2185,8 @@
"artifact_prefill_counts_as_evidence": false,
"submission_ref_total_count": 2,
"submission_ref_ready_count": 2,
"supporting_evidence_total_count": 8,
"supporting_evidence_ready_count": 7,
"supporting_evidence_total_count": 11,
"supporting_evidence_ready_count": 11,
"submission_ref_copy_to_artifact_refs": true,
"supporting_evidence_copy_to_artifact_refs": false
},
@@ -3200,7 +3200,9 @@
"agents/interface.yaml": true,
"evidence/world_class/README.md": true,
"security/permission_policy.json": true,
"reports/world_class_evidence_ledger.json": true
"reports/world_class_evidence_ledger.json": true,
"dist/manifest.json": true,
"dist/targets/openai/adapter.json": true
},
"prohibited_surfaces": []
},
@@ -3219,7 +3221,9 @@
"agents/interface.yaml": true,
"evidence/world_class/README.md": true,
"security/permission_policy.json": true,
"reports/world_class_evidence_ledger.json": true
"reports/world_class_evidence_ledger.json": true,
"dist/manifest.json": true,
"dist/targets/openai/adapter.json": true
},
"prohibited_surfaces": []
},
@@ -3581,7 +3585,7 @@
"`0` permission failures",
"`25` required artifacts",
"`23` reproduction commands",
"initial load `999/1000`",
"initial load `987/1000`",
"target count is `83`"
],
"actual": "all present",
reports/registry_audit.json
+2 -2
View File
@@ -21,7 +21,7 @@
"trust_level": "local",
"license": "MIT",
"checksums": {
"package_sha256": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3",
"package_sha256": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c",
"archive_sha256": "c56a8519244c0bc8ec17c92d4641c832629cc059f4b51fe177a2c039515253a7"
},
"compatibility": {
@@ -78,7 +78,7 @@
"vscode"
],
"package_metadata": "registry/packages/yao-meta-skill.json",
"package_sha256": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3"
"package_sha256": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c"
}
]
},
reports/registry_audit.md
+1 -1
View File
@@ -6,7 +6,7 @@
- Maturity: `governed`
- Owner: `Yao Team`
- License: `MIT`
- Package SHA256: `e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3`
- Package SHA256: `db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c`
- Archive SHA256: `c56a8519244c0bc8ec17c92d4641c832629cc059f4b51fe177a2c039515253a7`
- Install simulated: `True`
reports/review-studio.html
+6 -6
View File
File diff suppressed because one or more lines are too long
reports/review-studio.json
+133 -106
View File
@@ -65,7 +65,7 @@
"key": "context-budget",
"label": "上下文",
"status": "pass",
"detail": "initial load 999/1000; deferred 531767/120000; top deferred scripts 469568; resource governance governed; quality density 140.1",
"detail": "initial load 987/1000; deferred 531767/120000; top deferred scripts 469568; resource governance governed; quality density 141.8",
"evidence": "reports/context_budget.json",
"link": "context_budget.md",
"review_action_id": "",
@@ -1194,8 +1194,8 @@
"artifact_prefill_counts_as_evidence": false,
"submission_ref_ready_count": 2,
"submission_ref_total_count": 2,
"supporting_evidence_ready_count": 7,
"supporting_evidence_total_count": 8,
"supporting_evidence_ready_count": 11,
"supporting_evidence_total_count": 11,
"roles": [
{
"role": "submission-ref",
@@ -1208,8 +1208,8 @@
{
"role": "supporting-evidence",
"label": "Supporting evidence",
"ready_count": 7,
"total_count": 8,
"ready_count": 11,
"total_count": 11,
"copy_to_artifact_refs": false,
"description": "Supporting-evidence rows help reviewers audit the packet but do not all need to be copied into artifact_refs."
}
@@ -1523,7 +1523,7 @@
"label": "可维护性",
"score": 100,
"reasons": [
"SKILL.md 约 342 个词/字。",
"SKILL.md 约 314 个词/字。",
"入口文件保持克制，可维护性较好。",
"references/ 已承载扩展指导。",
"scripts/ 已承载确定性逻辑。",
@@ -1544,7 +1544,7 @@
"label": "上下文成本",
"score": 42,
"reasons": [
"入口约 342 个词/字，references 约 16934 个词/字。",
"入口约 314 个词/字，references 约 16934 个词/字。",
"分数越高代表上下文成本越低。",
"上下文成本偏高，建议压缩入口或拆分 references。"
]
@@ -1648,7 +1648,7 @@
"已生成 Output Review Adjudication，可记录盲评决策、一致率和待评审项。"
],
"gaps": [
"上下文成本需要补强：入口约 342 个词/字，references 约 16934 个词/字。"
"上下文成本需要补强：入口约 314 个词/字，references 约 16934 个词/字。"
],
"recommendations": [
"先改触发边界，再扩展工作流。",
@@ -1713,7 +1713,7 @@
"name": "包体膨胀风险",
"impact": 2,
"probability": 1,
"signal": "SKILL.md 约 342 个词/字。",
"signal": "SKILL.md 约 314 个词/字。",
"response": "先补证据和边界，再增加包体复杂度。"
},
{
@@ -2077,11 +2077,11 @@
"display_name": "Yao Meta Skill",
"description": "Create/improve/evaluate agent skills from workflows, prompts, SOPs, scripts. Use for migration/release/package, routing, evals/tests, install checks, 优化已有 skill, 补 trigger 评测. Exclude no-skill summary/translation/docs.",
"logic_steps": [
"For one-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, and the lightest fit.",
"Scan references in order: external benchmark, user source, local fit; surface only uncertainty or conflict.",
"Write `description` early, test route quality, then add only earned folders and gates.",
"Add output-risk, artifact-design, prompt-quality, system-model, and next directions only when useful."
"One-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, lightest fit.",
"Scan up to `3-5` references: external, user, local; skip tiny edits; surface only uncertainty/conflict.",
"Write `description` early; route/boundary edits need `trigger_eval.py`; releases need risk-matched gates before folders.",
"Add output-risk, artifact-design, prompt-quality, system-model, next directions only when earned."
],
"usage_steps": [
"Use $yao-meta-skill to turn my workflow or notes into a reusable skill with lean structure, clear triggering, and the right evals.",
@@ -2458,8 +2458,8 @@
"methodology_complete": true,
"required_artifact_count": 25,
"missing_artifact_count": 0,
"evidence_bundle_sha256": "639707e807e5ec8460f6aa6d1e5ba34874bb3228160555d8a01dbc37620d4873",
"source_contract_sha256": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3",
"evidence_bundle_sha256": "6c95043c2d8513102b37bc70a01647246933c84e8a27c2748cc2cae20e040158",
"source_contract_sha256": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c",
"archive_sha256": "c56a8519244c0bc8ec17c92d4641c832629cc059f4b51fe177a2c039515253a7",
"output_case_count": 5,
"failure_disclosure_count": 3,
@@ -2483,13 +2483,13 @@
"public_claim_ready": false,
"public_claim_blocker_count": 4,
"working_tree_dirty": true,
"changed_file_count": 84,
"changed_file_count": 37,
"source_tree_dirty": true,
"source_changed_file_count": 2,
"source_changed_file_count": 1,
"generated_tree_dirty": true,
"generated_changed_file_count": 82
"generated_changed_file_count": 36
},
"commit": "1710a5a3e0177313954758908735c147796e8981",
"commit": "24bea607a2b16e766bc8f2bc8483f22fae1edc61",
"missing_artifacts": [],
"limitations": [
"The git commit and dirty flags are generation-time context; release lock is blocked by source changes, while generated evidence artifacts are tracked separately.",
@@ -2595,7 +2595,7 @@
"interactive_script_count": 0,
"package_hash_scope": "source-contract-without-generated-reports",
"package_hash_file_count": 247,
"package_sha256": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3"
"package_sha256": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c"
},
"skill_atlas": {
"skill_count": 11,
@@ -2633,7 +2633,7 @@
"trust_level": "local",
"license": "MIT",
"checksums": {
"package_sha256": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3",
"package_sha256": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c",
"archive_sha256": "c56a8519244c0bc8ec17c92d4641c832629cc059f4b51fe177a2c039515253a7"
},
"compatibility": {
@@ -2767,7 +2767,7 @@
{
"field": "package_sha256",
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reports/review-viewer.html
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View File
@@ -200,13 +200,13 @@ th {
<section>
<h2>Architecture at a glance</h2>
<div class="arch-grid"><div class='arch-step'><div class='step-label'>Inputs</div><div class='step-detail'>workflow, prompt, transcript, docs, or notes</div></div><div class='arch-step'><div class='step-label'>Boundary</div><div class='step-detail'>Create/improve/evaluate agent skills from workflows, prompts, SOPs, scripts. Use for migration/release/package, routing, evals/tests, install checks, 优化已有 skill, 补 trigger 评测. Exclude no-skill summary/translation/docs.</div></div><div class='arch-step'><div class='step-label'>Logic</div><div class='step-detail'>For one-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.; Capture job, output, exclusions, constraints, standards, and the lightest fit.; Scan references in order: external benchmark, user source, local fit; surface only uncertainty or conflict.</div></div><div class='arch-step'><div class='step-label'>Usage</div><div class='step-detail'>Use $yao-meta-skill to turn my workflow or notes into a reusable skill with lean structure, clear triggering, and the right evals.; Use this skill when the request matches: Create/improve/evaluate agent skills from workflows, prompts, SOPs, scripts. Use for migration/release/package, routing, evals/tests, install checks, 优化已有 skill, 补 trigger 评测. Exclude no-skill summary/translation/docs.</div></div><div class='arch-step'><div class='step-label'>Next</div><div class='step-detail'>Review the top iteration directions before growing the package.</div></div></div>
<div class="arch-grid"><div class='arch-step'><div class='step-label'>Inputs</div><div class='step-detail'>workflow, prompt, transcript, docs, or notes</div></div><div class='arch-step'><div class='step-label'>Boundary</div><div class='step-detail'>Create/improve/evaluate agent skills from workflows, prompts, SOPs, scripts. Use for migration/release/package, routing, evals/tests, install checks, 优化已有 skill, 补 trigger 评测. Exclude no-skill summary/translation/docs.</div></div><div class='arch-step'><div class='step-label'>Logic</div><div class='step-detail'>One-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.; Capture job, output, exclusions, constraints, standards, lightest fit.; Scan up to `3-5` references: external, user, local; skip tiny edits; surface only uncertainty/conflict.</div></div><div class='arch-step'><div class='step-label'>Usage</div><div class='step-detail'>Use $yao-meta-skill to turn my workflow or notes into a reusable skill with lean structure, clear triggering, and the right evals.; Use this skill when the request matches: Create/improve/evaluate agent skills from workflows, prompts, SOPs, scripts. Use for migration/release/package, routing, evals/tests, install checks, 优化已有 skill, 补 trigger 评测. Exclude no-skill summary/translation/docs.</div></div><div class='arch-step'><div class='step-label'>Next</div><div class='step-detail'>Review the top iteration directions before growing the package.</div></div></div>
</section>
<section class="grid">
<div class="panel">
<h2>Core logic</h2>
<ul><li>For one-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.</li><li>Capture job, output, exclusions, constraints, standards, and the lightest fit.</li><li>Scan references in order: external benchmark, user source, local fit; surface only uncertainty or conflict.</li><li>Write `description` early, test route quality, then add only earned folders and gates.</li><li>Add output-risk, artifact-design, prompt-quality, system-model, and next directions only when useful.</li></ul>
<ul><li>One-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.</li><li>Capture job, output, exclusions, constraints, standards, lightest fit.</li><li>Scan up to `3-5` references: external, user, local; skip tiny edits; surface only uncertainty/conflict.</li><li>Write `description` early; route/boundary edits need `trigger_eval.py`; releases need risk-matched gates before folders.</li><li>Add output-risk, artifact-design, prompt-quality, system-model, next directions only when earned.</li></ul>
</div>
<div class="panel">
<h2>How to use it</h2>
reports/review-viewer.json
+18 -18
View File
@@ -81,7 +81,7 @@
"label": "可维护性",
"score": 100,
"reasons": [
"SKILL.md 约 342 个词/字。",
"SKILL.md 约 314 个词/字。",
"入口文件保持克制，可维护性较好。",
"references/ 已承载扩展指导。",
"scripts/ 已承载确定性逻辑。",
@@ -102,7 +102,7 @@
"label": "上下文成本",
"score": 42,
"reasons": [
"入口约 342 个词/字，references 约 16934 个词/字。",
"入口约 314 个词/字，references 约 16934 个词/字。",
"分数越高代表上下文成本越低。",
"上下文成本偏高，建议压缩入口或拆分 references。"
]
@@ -206,7 +206,7 @@
"已生成 Output Review Adjudication，可记录盲评决策、一致率和待评审项。"
],
"gaps": [
"上下文成本需要补强：入口约 342 个词/字，references 约 16934 个词/字。"
"上下文成本需要补强：入口约 314 个词/字，references 约 16934 个词/字。"
],
"recommendations": [
"先改触发边界，再扩展工作流。",
@@ -271,7 +271,7 @@
"name": "包体膨胀风险",
"impact": 2,
"probability": 1,
"signal": "SKILL.md 约 342 个词/字。",
"signal": "SKILL.md 约 314 个词/字。",
"response": "先补证据和边界，再增加包体复杂度。"
},
{
@@ -635,11 +635,11 @@
"display_name": "Yao Meta Skill",
"description": "Create/improve/evaluate agent skills from workflows, prompts, SOPs, scripts. Use for migration/release/package, routing, evals/tests, install checks, 优化已有 skill, 补 trigger 评测. Exclude no-skill summary/translation/docs.",
"logic_steps": [
"For one-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, and the lightest fit.",
"Scan references in order: external benchmark, user source, local fit; surface only uncertainty or conflict.",
"Write `description` early, test route quality, then add only earned folders and gates.",
"Add output-risk, artifact-design, prompt-quality, system-model, and next directions only when useful."
"One-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, lightest fit.",
"Scan up to `3-5` references: external, user, local; skip tiny edits; surface only uncertainty/conflict.",
"Write `description` early; route/boundary edits need `trigger_eval.py`; releases need risk-matched gates before folders.",
"Add output-risk, artifact-design, prompt-quality, system-model, next directions only when earned."
],
"usage_steps": [
"Use $yao-meta-skill to turn my workflow or notes into a reusable skill with lean structure, clear triggering, and the right evals.",
@@ -1016,8 +1016,8 @@
"methodology_complete": true,
"required_artifact_count": 25,
"missing_artifact_count": 0,
"evidence_bundle_sha256": "639707e807e5ec8460f6aa6d1e5ba34874bb3228160555d8a01dbc37620d4873",
"source_contract_sha256": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3",
"evidence_bundle_sha256": "6c95043c2d8513102b37bc70a01647246933c84e8a27c2748cc2cae20e040158",
"source_contract_sha256": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c",
"archive_sha256": "c56a8519244c0bc8ec17c92d4641c832629cc059f4b51fe177a2c039515253a7",
"output_case_count": 5,
"failure_disclosure_count": 3,
@@ -1041,13 +1041,13 @@
"public_claim_ready": false,
"public_claim_blocker_count": 4,
"working_tree_dirty": true,
"changed_file_count": 84,
"changed_file_count": 37,
"source_tree_dirty": true,
"source_changed_file_count": 2,
"source_changed_file_count": 1,
"generated_tree_dirty": true,
"generated_changed_file_count": 82
"generated_changed_file_count": 36
},
"commit": "1710a5a3e0177313954758908735c147796e8981",
"commit": "24bea607a2b16e766bc8f2bc8483f22fae1edc61",
"missing_artifacts": [],
"limitations": [
"The git commit and dirty flags are generation-time context; release lock is blocked by source changes, while generated evidence artifacts are tracked separately.",
@@ -1153,7 +1153,7 @@
"interactive_script_count": 0,
"package_hash_scope": "source-contract-without-generated-reports",
"package_hash_file_count": 247,
"package_sha256": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3"
"package_sha256": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c"
},
"skill_atlas": {
"skill_count": 11,
@@ -1191,7 +1191,7 @@
"trust_level": "local",
"license": "MIT",
"checksums": {
"package_sha256": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3",
"package_sha256": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c",
"archive_sha256": "c56a8519244c0bc8ec17c92d4641c832629cc059f4b51fe177a2c039515253a7"
},
"compatibility": {
@@ -1325,7 +1325,7 @@
{
"field": "package_sha256",
"from": "0000000000000000000000000000000000000000000000000000000000000000",
"to": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3"
"to": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c"
}
]
},
reports/security_trust_report.json
+1 -1
View File
@@ -23,7 +23,7 @@
"interactive_script_count": 0,
"package_hash_scope": "source-contract-without-generated-reports",
"package_hash_file_count": 247,
"package_sha256": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3"
"package_sha256": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c"
},
"failures": [],
"warnings": [],
reports/security_trust_report.md
+1 -1
View File
@@ -16,7 +16,7 @@
- Interactive scripts: `0`
- Package hash scope: `source-contract-without-generated-reports`
- Package hash files: `247`
- Package SHA256: `e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3`
- Package SHA256: `db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c`
## Failures
reports/skill-interpretation.html
+6 -6
View File
@@ -770,7 +770,7 @@
<ul class="list"><li><span data-lang="zh-CN">把一次性经验沉淀为可复用、可评估、可迁移的 Skill 包体。</span><span data-lang="en">Turn one-off experience into a reusable, evaluable, and portable skill package.</span></li><li><span data-lang="zh-CN">Skill 作者、复用团队和后续 reviewer。</span><span data-lang="en">Skill authors, reuse teams, and later reviewers.</span></li><li><span data-lang="zh-CN">创建完成后建议先打开 reports/skill-interpretation.html，再继续扩展包体。</span><span data-lang="en">After creation, open reports/skill-interpretation.html before expanding the package further.</span></li></ul>
</aside>
</div>
<div class="score-strip" aria-label="报告关键指标"><article class='score-chip'><span><span data-lang="zh-CN">完整度</span><span data-lang="en">Completeness</span></span><strong>100</strong><i style='--score:100%'></i><small><span data-lang="zh-CN">SKILL.md 已存在，是 Skill 的入口。</span><span data-lang="en">SKILL.md exists and acts as the skill entrypoint.</span></small></article><article class='score-chip'><span><span data-lang="zh-CN">触发清晰</span><span data-lang="en">Trigger clarity</span></span><strong>100</strong><i style='--score:100%'></i><small><span data-lang="zh-CN">frontmatter description 已存在，具备基础路由面。</span><span data-lang="en">The frontmatter description exists, giving the skill a basic routing surface.</span></small></article><article class='score-chip'><span><span data-lang="zh-CN">证据充分</span><span data-lang="en">Evidence depth</span></span><strong>100</strong><i style='--score:100%'></i><small><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></small></article><article class='score-chip'><span><span data-lang="zh-CN">上下文成本</span><span data-lang="en">Context cost</span></span><strong>42</strong><i style='--score:42%'></i><small><span data-lang="zh-CN">入口约 342 个词/字，references 约 16934 个词/字。</span><span data-lang="en">Entrypoint is about 342 words/characters; references are about 16934.</span></small></article></div>
<div class="score-strip" aria-label="报告关键指标"><article class='score-chip'><span><span data-lang="zh-CN">完整度</span><span data-lang="en">Completeness</span></span><strong>100</strong><i style='--score:100%'></i><small><span data-lang="zh-CN">SKILL.md 已存在，是 Skill 的入口。</span><span data-lang="en">SKILL.md exists and acts as the skill entrypoint.</span></small></article><article class='score-chip'><span><span data-lang="zh-CN">触发清晰</span><span data-lang="en">Trigger clarity</span></span><strong>100</strong><i style='--score:100%'></i><small><span data-lang="zh-CN">frontmatter description 已存在，具备基础路由面。</span><span data-lang="en">The frontmatter description exists, giving the skill a basic routing surface.</span></small></article><article class='score-chip'><span><span data-lang="zh-CN">证据充分</span><span data-lang="en">Evidence depth</span></span><strong>100</strong><i style='--score:100%'></i><small><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></small></article><article class='score-chip'><span><span data-lang="zh-CN">上下文成本</span><span data-lang="en">Context cost</span></span><strong>42</strong><i style='--score:42%'></i><small><span data-lang="zh-CN">入口约 314 个词/字，references 约 16934 个词/字。</span><span data-lang="en">Entrypoint is about 314 words/characters; references are about 16934.</span></small></article></div>
</section>
<section id="overview">
@@ -807,12 +807,12 @@
<article class="panel metrics-note metrics-summary-panel">
<h3><span data-lang="zh-CN">成熟度条</span><span data-lang="en">Maturity Bar</span></h3>
<p><span data-lang="zh-CN">这里把每个指标压缩为状态、分数和第一条证据，先给出整体判断，再进入下方明细。</span><span data-lang="en">This compresses each metric into status, score, and the first evidence item before the detailed cards below.</span></p>
<ol class='metric-summary-list'><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">完整度</span><span data-lang="en">Completeness</span></b><em>100</em><small><span data-lang="zh-CN">SKILL.md 已存在，是 Skill 的入口。</span><span data-lang="en">SKILL.md exists and acts as the skill entrypoint.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">触发清晰</span><span data-lang="en">Trigger clarity</span></b><em>100</em><small><span data-lang="zh-CN">frontmatter description 已存在，具备基础路由面。</span><span data-lang="en">The frontmatter description exists, giving the skill a basic routing surface.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">证据充分</span><span data-lang="en">Evidence depth</span></b><em>100</em><small><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">可维护性</span><span data-lang="en">Maintainability</span></b><em>100</em><small><span data-lang="zh-CN">SKILL.md 约 342 个词/字。</span><span data-lang="en">SKILL.md is about 342 words/characters.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">可迁移性</span><span data-lang="en">Portability</span></b><em>100</em><small><span data-lang="zh-CN">agents/interface.yaml 已存在。</span><span data-lang="en">agents/interface.yaml exists.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">关注</span><span data-lang="en">Watch</span></span><b><span data-lang="zh-CN">上下文成本</span><span data-lang="en">Context cost</span></b><em>42</em><small><span data-lang="zh-CN">入口约 342 个词/字，references 约 16934 个词/字。</span><span data-lang="en">Entrypoint is about 342 words/characters; references are about 16934.</span></small></li></ol>
<ol class='metric-summary-list'><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">完整度</span><span data-lang="en">Completeness</span></b><em>100</em><small><span data-lang="zh-CN">SKILL.md 已存在，是 Skill 的入口。</span><span data-lang="en">SKILL.md exists and acts as the skill entrypoint.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">触发清晰</span><span data-lang="en">Trigger clarity</span></b><em>100</em><small><span data-lang="zh-CN">frontmatter description 已存在，具备基础路由面。</span><span data-lang="en">The frontmatter description exists, giving the skill a basic routing surface.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">证据充分</span><span data-lang="en">Evidence depth</span></b><em>100</em><small><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">可维护性</span><span data-lang="en">Maintainability</span></b><em>100</em><small><span data-lang="zh-CN">SKILL.md 约 314 个词/字。</span><span data-lang="en">SKILL.md is about 314 words/characters.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">可迁移性</span><span data-lang="en">Portability</span></b><em>100</em><small><span data-lang="zh-CN">agents/interface.yaml 已存在。</span><span data-lang="en">agents/interface.yaml exists.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">关注</span><span data-lang="en">Watch</span></span><b><span data-lang="zh-CN">上下文成本</span><span data-lang="en">Context cost</span></b><em>42</em><small><span data-lang="zh-CN">入口约 314 个词/字，references 约 16934 个词/字。</span><span data-lang="en">Entrypoint is about 314 words/characters; references are about 16934.</span></small></li></ol>
</article>
</div>
<div class="metric-detail-section">
<div class="detail-section-kicker"><span data-lang="zh-CN">指标明细</span><span data-lang="en">Metric Details</span></div>
<div class="metric-grid metric-detail-grid"><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">完整度</span><span data-lang="en">Completeness</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">SKILL.md 已存在，是 Skill 的入口。</span><span data-lang="en">SKILL.md exists and acts as the skill entrypoint.</span></li><li><span data-lang="zh-CN">README.md 已存在，便于人工阅读。</span><span data-lang="en">README.md exists for human-readable usage.</span></li><li><span data-lang="zh-CN">agents/interface.yaml 已存在，便于跨平台适配。</span><span data-lang="en">agents/interface.yaml exists for cross-platform adaptation.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">触发清晰</span><span data-lang="en">Trigger clarity</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">frontmatter description 已存在，具备基础路由面。</span><span data-lang="en">The frontmatter description exists, giving the skill a basic routing surface.</span></li><li><span data-lang="zh-CN">description 有足够长度说明任务边界。</span><span data-lang="en">The description is long enough to explain the task boundary.</span></li><li><span data-lang="zh-CN">description 已包含使用场景或排除边界信号。</span><span data-lang="en">The description includes usage-scenario or exclusion-boundary signals.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">证据充分</span><span data-lang="en">Evidence depth</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></li><li><span data-lang="zh-CN">skill-ir.json 已存在。</span><span data-lang="en">skill-ir.json exists.</span></li><li><span data-lang="zh-CN">compiled_targets.json 已存在。</span><span data-lang="en">compiled_targets.json exists.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">可维护性</span><span data-lang="en">Maintainability</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">SKILL.md 约 342 个词/字。</span><span data-lang="en">SKILL.md is about 342 words/characters.</span></li><li><span data-lang="zh-CN">入口文件保持克制，可维护性较好。</span><span data-lang="en">The entrypoint stays restrained, which supports maintainability.</span></li><li><span data-lang="zh-CN">references/ 已承载扩展指导。</span><span data-lang="en">references/ carries extended guidance.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">可迁移性</span><span data-lang="en">Portability</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">agents/interface.yaml 已存在。</span><span data-lang="en">agents/interface.yaml exists.</span></li><li><span data-lang="zh-CN">manifest.json 已存在。</span><span data-lang="en">manifest.json exists.</span></li><li><span data-lang="zh-CN">目标平台或 adapter target 已声明。</span><span data-lang="en">Target platforms or adapter targets are declared.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">上下文成本</span><span data-lang="en">Context cost</span></span><strong>42</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">入口约 342 个词/字，references 约 16934 个词/字。</span><span data-lang="en">Entrypoint is about 342 words/characters; references are about 16934.</span></li><li><span data-lang="zh-CN">分数越高代表上下文成本越低。</span><span data-lang="en">A higher score means lower context cost.</span></li><li><span data-lang="zh-CN">上下文成本偏高，建议压缩入口或拆分 references。</span><span data-lang="en">Context cost is high; compress the entrypoint or split references further.</span></li></ul></div></article></div>
<div class="metric-grid metric-detail-grid"><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">完整度</span><span data-lang="en">Completeness</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">SKILL.md 已存在，是 Skill 的入口。</span><span data-lang="en">SKILL.md exists and acts as the skill entrypoint.</span></li><li><span data-lang="zh-CN">README.md 已存在，便于人工阅读。</span><span data-lang="en">README.md exists for human-readable usage.</span></li><li><span data-lang="zh-CN">agents/interface.yaml 已存在，便于跨平台适配。</span><span data-lang="en">agents/interface.yaml exists for cross-platform adaptation.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">触发清晰</span><span data-lang="en">Trigger clarity</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">frontmatter description 已存在，具备基础路由面。</span><span data-lang="en">The frontmatter description exists, giving the skill a basic routing surface.</span></li><li><span data-lang="zh-CN">description 有足够长度说明任务边界。</span><span data-lang="en">The description is long enough to explain the task boundary.</span></li><li><span data-lang="zh-CN">description 已包含使用场景或排除边界信号。</span><span data-lang="en">The description includes usage-scenario or exclusion-boundary signals.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">证据充分</span><span data-lang="en">Evidence depth</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></li><li><span data-lang="zh-CN">skill-ir.json 已存在。</span><span data-lang="en">skill-ir.json exists.</span></li><li><span data-lang="zh-CN">compiled_targets.json 已存在。</span><span data-lang="en">compiled_targets.json exists.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">可维护性</span><span data-lang="en">Maintainability</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">SKILL.md 约 314 个词/字。</span><span data-lang="en">SKILL.md is about 314 words/characters.</span></li><li><span data-lang="zh-CN">入口文件保持克制，可维护性较好。</span><span data-lang="en">The entrypoint stays restrained, which supports maintainability.</span></li><li><span data-lang="zh-CN">references/ 已承载扩展指导。</span><span data-lang="en">references/ carries extended guidance.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">可迁移性</span><span data-lang="en">Portability</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">agents/interface.yaml 已存在。</span><span data-lang="en">agents/interface.yaml exists.</span></li><li><span data-lang="zh-CN">manifest.json 已存在。</span><span data-lang="en">manifest.json exists.</span></li><li><span data-lang="zh-CN">目标平台或 adapter target 已声明。</span><span data-lang="en">Target platforms or adapter targets are declared.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">上下文成本</span><span data-lang="en">Context cost</span></span><strong>42</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">入口约 314 个词/字，references 约 16934 个词/字。</span><span data-lang="en">Entrypoint is about 314 words/characters; references are about 16934.</span></li><li><span data-lang="zh-CN">分数越高代表上下文成本越低。</span><span data-lang="en">A higher score means lower context cost.</span></li><li><span data-lang="zh-CN">上下文成本偏高，建议压缩入口或拆分 references。</span><span data-lang="en">Context cost is high; compress the entrypoint or split references further.</span></li></ul></div></article></div>
</div>
</div>
</div>
@@ -845,7 +845,7 @@
<div class="two-col">
<article class="panel">
<h3><span data-lang="zh-CN">执行流程</span><span data-lang="en">Execution Flow</span></h3>
<ol class="step-list"><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">For one-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.</span></li><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">Capture job, output, exclusions, constraints, standards, and the lightest fit.</span></li><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">Scan references in order: external benchmark, user source, local fit; surface only uncertainty or conflict.</span></li><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">Write `description` early, test route quality, then add only earned folders and gates.</span></li><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">Add output-risk, artifact-design, prompt-quality, system-model, and next directions only when useful.</span></li></ol>
<ol class="step-list"><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">One-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.</span></li><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">Capture job, output, exclusions, constraints, standards, lightest fit.</span></li><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">Scan up to `3-5` references: external, user, local; skip tiny edits; surface only uncertainty/conflict.</span></li><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">Write `description` early; route/boundary edits need `trigger_eval.py`; releases need risk-matched gates before folders.</span></li><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">Add output-risk, artifact-design, prompt-quality, system-model, next directions only when earned.</span></li></ol>
</article>
<article class="panel">
<h3><span data-lang="zh-CN">调用方式</span><span data-lang="en">How To Use</span></h3>
@@ -888,7 +888,7 @@
<div>
<table>
<thead><tr><th><span data-lang="zh-CN">类型</span><span data-lang="en">Type</span></th><th><span data-lang="zh-CN">证据</span><span data-lang="en">Evidence</span></th><th><span data-lang="zh-CN">建议</span><span data-lang="en">Action</span></th></tr></thead>
<tbody><tr><td><span data-lang="zh-CN">强项</span><span data-lang="en">Strength</span></td><td><span data-lang="zh-CN">触发面保持精简，并锚定在 frontmatter description。</span><span data-lang="en">The trigger surface stays lean and anchored in the frontmatter description.</span></td><td><span data-lang="zh-CN">保留并复用</span><span data-lang="en">Keep</span></td></tr><tr><td><span data-lang="zh-CN">强项</span><span data-lang="en">Strength</span></td><td><span data-lang="zh-CN">已生成 Skill IR，核心语义可先于平台打包被审查和迁移。</span><span data-lang="en">Skill IR is generated so core semantics can be reviewed and migrated before platform packaging.</span></td><td><span data-lang="zh-CN">保留并复用</span><span data-lang="en">Keep</span></td></tr><tr><td><span data-lang="zh-CN">强项</span><span data-lang="en">Strength</span></td><td><span data-lang="zh-CN">已生成目标编译报告，可审查 IR 到 OpenAI、Claude、generic 等目标契约的映射。</span><span data-lang="en">Target compilation evidence is generated to review how IR maps to OpenAI, Claude, generic, and other target contracts.</span></td><td><span data-lang="zh-CN">保留并复用</span><span data-lang="en">Keep</span></td></tr><tr><td><span data-lang="zh-CN">缺口</span><span data-lang="en">Gap</span></td><td><span data-lang="zh-CN">上下文成本需要补强：入口约 342 个词/字，references 约 16934 个词/字。</span><span data-lang="en">Context cost needs improvement: Entrypoint is about 342 words/characters; references are about 16934.</span></td><td><span data-lang="zh-CN">纳入下一轮修复</span><span data-lang="en">Fix next</span></td></tr></tbody>
<tbody><tr><td><span data-lang="zh-CN">强项</span><span data-lang="en">Strength</span></td><td><span data-lang="zh-CN">触发面保持精简，并锚定在 frontmatter description。</span><span data-lang="en">The trigger surface stays lean and anchored in the frontmatter description.</span></td><td><span data-lang="zh-CN">保留并复用</span><span data-lang="en">Keep</span></td></tr><tr><td><span data-lang="zh-CN">强项</span><span data-lang="en">Strength</span></td><td><span data-lang="zh-CN">已生成 Skill IR，核心语义可先于平台打包被审查和迁移。</span><span data-lang="en">Skill IR is generated so core semantics can be reviewed and migrated before platform packaging.</span></td><td><span data-lang="zh-CN">保留并复用</span><span data-lang="en">Keep</span></td></tr><tr><td><span data-lang="zh-CN">强项</span><span data-lang="en">Strength</span></td><td><span data-lang="zh-CN">已生成目标编译报告，可审查 IR 到 OpenAI、Claude、generic 等目标契约的映射。</span><span data-lang="en">Target compilation evidence is generated to review how IR maps to OpenAI, Claude, generic, and other target contracts.</span></td><td><span data-lang="zh-CN">保留并复用</span><span data-lang="en">Keep</span></td></tr><tr><td><span data-lang="zh-CN">缺口</span><span data-lang="en">Gap</span></td><td><span data-lang="zh-CN">上下文成本需要补强：入口约 314 个词/字，references 约 16934 个词/字。</span><span data-lang="en">Context cost needs improvement: Entrypoint is about 314 words/characters; references are about 16934.</span></td><td><span data-lang="zh-CN">纳入下一轮修复</span><span data-lang="en">Fix next</span></td></tr></tbody>
</table>
<div class="two-col quality-panels">
<article class="panel">
@@ -925,7 +925,7 @@
<div>
<table>
<thead><tr><th><span data-lang="zh-CN">风险</span><span data-lang="en">Risk</span></th><th><span data-lang="zh-CN">信号</span><span data-lang="en">Signal</span></th><th><span data-lang="zh-CN">应对</span><span data-lang="en">Response</span></th></tr></thead>
<tbody><tr><td><span data-lang="zh-CN">误触发风险</span><span data-lang="en">Trigger risk</span></td><td><span data-lang="zh-CN">frontmatter description 已存在，具备基础路由面。</span><span data-lang="en">The frontmatter description exists, giving the skill a basic routing surface.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr><tr><td><span data-lang="zh-CN">输出漂移风险</span><span data-lang="en">Output drift risk</span></td><td><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr><tr><td><span data-lang="zh-CN">证据不足风险</span><span data-lang="en">Evidence gap risk</span></td><td><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr><tr><td><span data-lang="zh-CN">包体膨胀风险</span><span data-lang="en">Package bloat risk</span></td><td><span data-lang="zh-CN">SKILL.md 约 342 个词/字。</span><span data-lang="en">SKILL.md is about 342 words/characters.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr><tr><td><span data-lang="zh-CN">跨平台迁移风险</span><span data-lang="en">Portability risk</span></td><td><span data-lang="zh-CN">agents/interface.yaml 已存在。</span><span data-lang="en">agents/interface.yaml exists.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr></tbody>
<tbody><tr><td><span data-lang="zh-CN">误触发风险</span><span data-lang="en">Trigger risk</span></td><td><span data-lang="zh-CN">frontmatter description 已存在，具备基础路由面。</span><span data-lang="en">The frontmatter description exists, giving the skill a basic routing surface.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr><tr><td><span data-lang="zh-CN">输出漂移风险</span><span data-lang="en">Output drift risk</span></td><td><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr><tr><td><span data-lang="zh-CN">证据不足风险</span><span data-lang="en">Evidence gap risk</span></td><td><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr><tr><td><span data-lang="zh-CN">包体膨胀风险</span><span data-lang="en">Package bloat risk</span></td><td><span data-lang="zh-CN">SKILL.md 约 314 个词/字。</span><span data-lang="en">SKILL.md is about 314 words/characters.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr><tr><td><span data-lang="zh-CN">跨平台迁移风险</span><span data-lang="en">Portability risk</span></td><td><span data-lang="zh-CN">agents/interface.yaml 已存在。</span><span data-lang="en">agents/interface.yaml exists.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr></tbody>
</table>
</div>
</div>
reports/skill-interpretation.json
+18 -18
View File
@@ -81,7 +81,7 @@
"label": "可维护性",
"score": 100,
"reasons": [
"SKILL.md 约 342 个词/字。",
"SKILL.md 约 314 个词/字。",
"入口文件保持克制，可维护性较好。",
"references/ 已承载扩展指导。",
"scripts/ 已承载确定性逻辑。",
@@ -102,7 +102,7 @@
"label": "上下文成本",
"score": 42,
"reasons": [
"入口约 342 个词/字，references 约 16934 个词/字。",
"入口约 314 个词/字，references 约 16934 个词/字。",
"分数越高代表上下文成本越低。",
"上下文成本偏高，建议压缩入口或拆分 references。"
]
@@ -206,7 +206,7 @@
"已生成 Output Review Adjudication，可记录盲评决策、一致率和待评审项。"
],
"gaps": [
"上下文成本需要补强：入口约 342 个词/字，references 约 16934 个词/字。"
"上下文成本需要补强：入口约 314 个词/字，references 约 16934 个词/字。"
],
"recommendations": [
"先改触发边界，再扩展工作流。",
@@ -271,7 +271,7 @@
"name": "包体膨胀风险",
"impact": 2,
"probability": 1,
"signal": "SKILL.md 约 342 个词/字。",
"signal": "SKILL.md 约 314 个词/字。",
"response": "先补证据和边界，再增加包体复杂度。"
},
{
@@ -639,11 +639,11 @@
"display_name": "Yao Meta Skill",
"description": "Create/improve/evaluate agent skills from workflows, prompts, SOPs, scripts. Use for migration/release/package, routing, evals/tests, install checks, 优化已有 skill, 补 trigger 评测. Exclude no-skill summary/translation/docs.",
"logic_steps": [
"For one-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, and the lightest fit.",
"Scan references in order: external benchmark, user source, local fit; surface only uncertainty or conflict.",
"Write `description` early, test route quality, then add only earned folders and gates.",
"Add output-risk, artifact-design, prompt-quality, system-model, and next directions only when useful."
"One-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, lightest fit.",
"Scan up to `3-5` references: external, user, local; skip tiny edits; surface only uncertainty/conflict.",
"Write `description` early; route/boundary edits need `trigger_eval.py`; releases need risk-matched gates before folders.",
"Add output-risk, artifact-design, prompt-quality, system-model, next directions only when earned."
],
"usage_steps": [
"Use $yao-meta-skill to turn my workflow or notes into a reusable skill with lean structure, clear triggering, and the right evals.",
@@ -1020,8 +1020,8 @@
"methodology_complete": true,
"required_artifact_count": 25,
"missing_artifact_count": 0,
"evidence_bundle_sha256": "639707e807e5ec8460f6aa6d1e5ba34874bb3228160555d8a01dbc37620d4873",
"source_contract_sha256": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3",
"evidence_bundle_sha256": "6c95043c2d8513102b37bc70a01647246933c84e8a27c2748cc2cae20e040158",
"source_contract_sha256": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c",
"archive_sha256": "c56a8519244c0bc8ec17c92d4641c832629cc059f4b51fe177a2c039515253a7",
"output_case_count": 5,
"failure_disclosure_count": 3,
@@ -1045,13 +1045,13 @@
"public_claim_ready": false,
"public_claim_blocker_count": 4,
"working_tree_dirty": true,
"changed_file_count": 84,
"changed_file_count": 37,
"source_tree_dirty": true,
"source_changed_file_count": 2,
"source_changed_file_count": 1,
"generated_tree_dirty": true,
"generated_changed_file_count": 82
"generated_changed_file_count": 36
},
"commit": "1710a5a3e0177313954758908735c147796e8981",
"commit": "24bea607a2b16e766bc8f2bc8483f22fae1edc61",
"missing_artifacts": [],
"limitations": [
"The git commit and dirty flags are generation-time context; release lock is blocked by source changes, while generated evidence artifacts are tracked separately.",
@@ -1157,7 +1157,7 @@
"interactive_script_count": 0,
"package_hash_scope": "source-contract-without-generated-reports",
"package_hash_file_count": 247,
"package_sha256": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3"
"package_sha256": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c"
},
"skill_atlas": {
"skill_count": 11,
@@ -1195,7 +1195,7 @@
"trust_level": "local",
"license": "MIT",
"checksums": {
"package_sha256": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3",
"package_sha256": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c",
"archive_sha256": "c56a8519244c0bc8ec17c92d4641c832629cc059f4b51fe177a2c039515253a7"
},
"compatibility": {
@@ -1329,7 +1329,7 @@
{
"field": "package_sha256",
"from": "0000000000000000000000000000000000000000000000000000000000000000",
"to": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3"
"to": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c"
}
]
},
reports/skill-os-2-review.md
+1 -1
View File
@@ -153,7 +153,7 @@ Next move: add real client or installer permission enforcement integration.
| World-Class Evidence Ledger | `4` evidence entries remain pending: `1` human-required and `3` external-required; anti-overclaim guards block planned work, metadata fallbacks, pending review, and local command runners from counting as completion |
| Benchmark Reproducibility | local reproducibility ready with `25` required artifacts, `0` missing artifacts, `23` reproduction commands, and `3` disclosed failure cases; human review, native permission enforcement, native telemetry, and provider ledger approval remain explicit limitations |
| IR-first Packaging | `openai`, `claude`, `generic`, and `vscode` adapters include compiler contracts, permission contracts, target-native behavior contracts, IR provenance, semantic parity checks, and install-scope notes where applicable |
| Context Budget | initial load `999/1000`; deferred `530167/120000`; resource governance governed |
| Context Budget | initial load `987/1000`; deferred `530167/120000`; resource governance governed |
| CI | `make ci-test` target count is `83` after adding the dedicated Operator UX verifier |
## Next Highest-Leverage Moves
reports/skill-overview.html
+6 -6
View File
@@ -770,7 +770,7 @@
<ul class="list"><li><span data-lang="zh-CN">把一次性经验沉淀为可复用、可评估、可迁移的 Skill 包体。</span><span data-lang="en">Turn one-off experience into a reusable, evaluable, and portable skill package.</span></li><li><span data-lang="zh-CN">Skill 作者、复用团队和后续 reviewer。</span><span data-lang="en">Skill authors, reuse teams, and later reviewers.</span></li><li><span data-lang="zh-CN">创建完成后建议先打开 reports/skill-overview.html，再继续扩展包体。</span><span data-lang="en">After creation, open reports/skill-overview.html before expanding the package further.</span></li></ul>
</aside>
</div>
<div class="score-strip" aria-label="报告关键指标"><article class='score-chip'><span><span data-lang="zh-CN">完整度</span><span data-lang="en">Completeness</span></span><strong>100</strong><i style='--score:100%'></i><small><span data-lang="zh-CN">SKILL.md 已存在，是 Skill 的入口。</span><span data-lang="en">SKILL.md exists and acts as the skill entrypoint.</span></small></article><article class='score-chip'><span><span data-lang="zh-CN">触发清晰</span><span data-lang="en">Trigger clarity</span></span><strong>100</strong><i style='--score:100%'></i><small><span data-lang="zh-CN">frontmatter description 已存在，具备基础路由面。</span><span data-lang="en">The frontmatter description exists, giving the skill a basic routing surface.</span></small></article><article class='score-chip'><span><span data-lang="zh-CN">证据充分</span><span data-lang="en">Evidence depth</span></span><strong>100</strong><i style='--score:100%'></i><small><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></small></article><article class='score-chip'><span><span data-lang="zh-CN">上下文成本</span><span data-lang="en">Context cost</span></span><strong>42</strong><i style='--score:42%'></i><small><span data-lang="zh-CN">入口约 342 个词/字，references 约 16934 个词/字。</span><span data-lang="en">Entrypoint is about 342 words/characters; references are about 16934.</span></small></article></div>
<div class="score-strip" aria-label="报告关键指标"><article class='score-chip'><span><span data-lang="zh-CN">完整度</span><span data-lang="en">Completeness</span></span><strong>100</strong><i style='--score:100%'></i><small><span data-lang="zh-CN">SKILL.md 已存在，是 Skill 的入口。</span><span data-lang="en">SKILL.md exists and acts as the skill entrypoint.</span></small></article><article class='score-chip'><span><span data-lang="zh-CN">触发清晰</span><span data-lang="en">Trigger clarity</span></span><strong>100</strong><i style='--score:100%'></i><small><span data-lang="zh-CN">frontmatter description 已存在，具备基础路由面。</span><span data-lang="en">The frontmatter description exists, giving the skill a basic routing surface.</span></small></article><article class='score-chip'><span><span data-lang="zh-CN">证据充分</span><span data-lang="en">Evidence depth</span></span><strong>100</strong><i style='--score:100%'></i><small><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></small></article><article class='score-chip'><span><span data-lang="zh-CN">上下文成本</span><span data-lang="en">Context cost</span></span><strong>42</strong><i style='--score:42%'></i><small><span data-lang="zh-CN">入口约 314 个词/字，references 约 16934 个词/字。</span><span data-lang="en">Entrypoint is about 314 words/characters; references are about 16934.</span></small></article></div>
</section>
<section id="overview">
@@ -807,12 +807,12 @@
<article class="panel metrics-note metrics-summary-panel">
<h3><span data-lang="zh-CN">成熟度条</span><span data-lang="en">Maturity Bar</span></h3>
<p><span data-lang="zh-CN">这里把每个指标压缩为状态、分数和第一条证据，先给出整体判断，再进入下方明细。</span><span data-lang="en">This compresses each metric into status, score, and the first evidence item before the detailed cards below.</span></p>
<ol class='metric-summary-list'><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">完整度</span><span data-lang="en">Completeness</span></b><em>100</em><small><span data-lang="zh-CN">SKILL.md 已存在，是 Skill 的入口。</span><span data-lang="en">SKILL.md exists and acts as the skill entrypoint.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">触发清晰</span><span data-lang="en">Trigger clarity</span></b><em>100</em><small><span data-lang="zh-CN">frontmatter description 已存在，具备基础路由面。</span><span data-lang="en">The frontmatter description exists, giving the skill a basic routing surface.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">证据充分</span><span data-lang="en">Evidence depth</span></b><em>100</em><small><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">可维护性</span><span data-lang="en">Maintainability</span></b><em>100</em><small><span data-lang="zh-CN">SKILL.md 约 342 个词/字。</span><span data-lang="en">SKILL.md is about 342 words/characters.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">可迁移性</span><span data-lang="en">Portability</span></b><em>100</em><small><span data-lang="zh-CN">agents/interface.yaml 已存在。</span><span data-lang="en">agents/interface.yaml exists.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">关注</span><span data-lang="en">Watch</span></span><b><span data-lang="zh-CN">上下文成本</span><span data-lang="en">Context cost</span></b><em>42</em><small><span data-lang="zh-CN">入口约 342 个词/字，references 约 16934 个词/字。</span><span data-lang="en">Entrypoint is about 342 words/characters; references are about 16934.</span></small></li></ol>
<ol class='metric-summary-list'><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">完整度</span><span data-lang="en">Completeness</span></b><em>100</em><small><span data-lang="zh-CN">SKILL.md 已存在，是 Skill 的入口。</span><span data-lang="en">SKILL.md exists and acts as the skill entrypoint.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">触发清晰</span><span data-lang="en">Trigger clarity</span></b><em>100</em><small><span data-lang="zh-CN">frontmatter description 已存在，具备基础路由面。</span><span data-lang="en">The frontmatter description exists, giving the skill a basic routing surface.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">证据充分</span><span data-lang="en">Evidence depth</span></b><em>100</em><small><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">可维护性</span><span data-lang="en">Maintainability</span></b><em>100</em><small><span data-lang="zh-CN">SKILL.md 约 314 个词/字。</span><span data-lang="en">SKILL.md is about 314 words/characters.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">稳定</span><span data-lang="en">Stable</span></span><b><span data-lang="zh-CN">可迁移性</span><span data-lang="en">Portability</span></b><em>100</em><small><span data-lang="zh-CN">agents/interface.yaml 已存在。</span><span data-lang="en">agents/interface.yaml exists.</span></small></li><li><span class='metric-status'><span data-lang="zh-CN">关注</span><span data-lang="en">Watch</span></span><b><span data-lang="zh-CN">上下文成本</span><span data-lang="en">Context cost</span></b><em>42</em><small><span data-lang="zh-CN">入口约 314 个词/字，references 约 16934 个词/字。</span><span data-lang="en">Entrypoint is about 314 words/characters; references are about 16934.</span></small></li></ol>
</article>
</div>
<div class="metric-detail-section">
<div class="detail-section-kicker"><span data-lang="zh-CN">指标明细</span><span data-lang="en">Metric Details</span></div>
<div class="metric-grid metric-detail-grid"><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">完整度</span><span data-lang="en">Completeness</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">SKILL.md 已存在，是 Skill 的入口。</span><span data-lang="en">SKILL.md exists and acts as the skill entrypoint.</span></li><li><span data-lang="zh-CN">README.md 已存在，便于人工阅读。</span><span data-lang="en">README.md exists for human-readable usage.</span></li><li><span data-lang="zh-CN">agents/interface.yaml 已存在，便于跨平台适配。</span><span data-lang="en">agents/interface.yaml exists for cross-platform adaptation.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">触发清晰</span><span data-lang="en">Trigger clarity</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">frontmatter description 已存在，具备基础路由面。</span><span data-lang="en">The frontmatter description exists, giving the skill a basic routing surface.</span></li><li><span data-lang="zh-CN">description 有足够长度说明任务边界。</span><span data-lang="en">The description is long enough to explain the task boundary.</span></li><li><span data-lang="zh-CN">description 已包含使用场景或排除边界信号。</span><span data-lang="en">The description includes usage-scenario or exclusion-boundary signals.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">证据充分</span><span data-lang="en">Evidence depth</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></li><li><span data-lang="zh-CN">skill-ir.json 已存在。</span><span data-lang="en">skill-ir.json exists.</span></li><li><span data-lang="zh-CN">compiled_targets.json 已存在。</span><span data-lang="en">compiled_targets.json exists.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">可维护性</span><span data-lang="en">Maintainability</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">SKILL.md 约 342 个词/字。</span><span data-lang="en">SKILL.md is about 342 words/characters.</span></li><li><span data-lang="zh-CN">入口文件保持克制，可维护性较好。</span><span data-lang="en">The entrypoint stays restrained, which supports maintainability.</span></li><li><span data-lang="zh-CN">references/ 已承载扩展指导。</span><span data-lang="en">references/ carries extended guidance.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">可迁移性</span><span data-lang="en">Portability</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">agents/interface.yaml 已存在。</span><span data-lang="en">agents/interface.yaml exists.</span></li><li><span data-lang="zh-CN">manifest.json 已存在。</span><span data-lang="en">manifest.json exists.</span></li><li><span data-lang="zh-CN">目标平台或 adapter target 已声明。</span><span data-lang="en">Target platforms or adapter targets are declared.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">上下文成本</span><span data-lang="en">Context cost</span></span><strong>42</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">入口约 342 个词/字，references 约 16934 个词/字。</span><span data-lang="en">Entrypoint is about 342 words/characters; references are about 16934.</span></li><li><span data-lang="zh-CN">分数越高代表上下文成本越低。</span><span data-lang="en">A higher score means lower context cost.</span></li><li><span data-lang="zh-CN">上下文成本偏高，建议压缩入口或拆分 references。</span><span data-lang="en">Context cost is high; compress the entrypoint or split references further.</span></li></ul></div></article></div>
<div class="metric-grid metric-detail-grid"><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">完整度</span><span data-lang="en">Completeness</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">SKILL.md 已存在，是 Skill 的入口。</span><span data-lang="en">SKILL.md exists and acts as the skill entrypoint.</span></li><li><span data-lang="zh-CN">README.md 已存在，便于人工阅读。</span><span data-lang="en">README.md exists for human-readable usage.</span></li><li><span data-lang="zh-CN">agents/interface.yaml 已存在，便于跨平台适配。</span><span data-lang="en">agents/interface.yaml exists for cross-platform adaptation.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">触发清晰</span><span data-lang="en">Trigger clarity</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">frontmatter description 已存在，具备基础路由面。</span><span data-lang="en">The frontmatter description exists, giving the skill a basic routing surface.</span></li><li><span data-lang="zh-CN">description 有足够长度说明任务边界。</span><span data-lang="en">The description is long enough to explain the task boundary.</span></li><li><span data-lang="zh-CN">description 已包含使用场景或排除边界信号。</span><span data-lang="en">The description includes usage-scenario or exclusion-boundary signals.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">证据充分</span><span data-lang="en">Evidence depth</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></li><li><span data-lang="zh-CN">skill-ir.json 已存在。</span><span data-lang="en">skill-ir.json exists.</span></li><li><span data-lang="zh-CN">compiled_targets.json 已存在。</span><span data-lang="en">compiled_targets.json exists.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">可维护性</span><span data-lang="en">Maintainability</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">SKILL.md 约 314 个词/字。</span><span data-lang="en">SKILL.md is about 314 words/characters.</span></li><li><span data-lang="zh-CN">入口文件保持克制，可维护性较好。</span><span data-lang="en">The entrypoint stays restrained, which supports maintainability.</span></li><li><span data-lang="zh-CN">references/ 已承载扩展指导。</span><span data-lang="en">references/ carries extended guidance.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">可迁移性</span><span data-lang="en">Portability</span></span><strong>100</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">agents/interface.yaml 已存在。</span><span data-lang="en">agents/interface.yaml exists.</span></li><li><span data-lang="zh-CN">manifest.json 已存在。</span><span data-lang="en">manifest.json exists.</span></li><li><span data-lang="zh-CN">目标平台或 adapter target 已声明。</span><span data-lang="en">Target platforms or adapter targets are declared.</span></li></ul></div></article><article class='metric-card'><div class='metric-card-head'><span class='metric-label'><span data-lang="zh-CN">上下文成本</span><span data-lang="en">Context cost</span></span><strong>42</strong></div><div class='metric-card-body'><ul class="compact-list"><li><span data-lang="zh-CN">入口约 314 个词/字，references 约 16934 个词/字。</span><span data-lang="en">Entrypoint is about 314 words/characters; references are about 16934.</span></li><li><span data-lang="zh-CN">分数越高代表上下文成本越低。</span><span data-lang="en">A higher score means lower context cost.</span></li><li><span data-lang="zh-CN">上下文成本偏高，建议压缩入口或拆分 references。</span><span data-lang="en">Context cost is high; compress the entrypoint or split references further.</span></li></ul></div></article></div>
</div>
</div>
</div>
@@ -845,7 +845,7 @@
<div class="two-col">
<article class="panel">
<h3><span data-lang="zh-CN">执行流程</span><span data-lang="en">Execution Flow</span></h3>
<ol class="step-list"><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">For one-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.</span></li><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">Capture job, output, exclusions, constraints, standards, and the lightest fit.</span></li><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">Scan references in order: external benchmark, user source, local fit; surface only uncertainty or conflict.</span></li><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">Write `description` early, test route quality, then add only earned folders and gates.</span></li><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">Add output-risk, artifact-design, prompt-quality, system-model, and next directions only when useful.</span></li></ol>
<ol class="step-list"><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">One-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.</span></li><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">Capture job, output, exclusions, constraints, standards, lightest fit.</span></li><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">Scan up to `3-5` references: external, user, local; skip tiny edits; surface only uncertainty/conflict.</span></li><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">Write `description` early; route/boundary edits need `trigger_eval.py`; releases need risk-matched gates before folders.</span></li><li><span data-lang="zh-CN">原始说明可切换到英文查看；默认中文报告保留结论与结构说明。</span><span data-lang="en">Add output-risk, artifact-design, prompt-quality, system-model, next directions only when earned.</span></li></ol>
</article>
<article class="panel">
<h3><span data-lang="zh-CN">调用方式</span><span data-lang="en">How To Use</span></h3>
@@ -888,7 +888,7 @@
<div>
<table>
<thead><tr><th><span data-lang="zh-CN">类型</span><span data-lang="en">Type</span></th><th><span data-lang="zh-CN">证据</span><span data-lang="en">Evidence</span></th><th><span data-lang="zh-CN">建议</span><span data-lang="en">Action</span></th></tr></thead>
<tbody><tr><td><span data-lang="zh-CN">强项</span><span data-lang="en">Strength</span></td><td><span data-lang="zh-CN">触发面保持精简，并锚定在 frontmatter description。</span><span data-lang="en">The trigger surface stays lean and anchored in the frontmatter description.</span></td><td><span data-lang="zh-CN">保留并复用</span><span data-lang="en">Keep</span></td></tr><tr><td><span data-lang="zh-CN">强项</span><span data-lang="en">Strength</span></td><td><span data-lang="zh-CN">已生成 Skill IR，核心语义可先于平台打包被审查和迁移。</span><span data-lang="en">Skill IR is generated so core semantics can be reviewed and migrated before platform packaging.</span></td><td><span data-lang="zh-CN">保留并复用</span><span data-lang="en">Keep</span></td></tr><tr><td><span data-lang="zh-CN">强项</span><span data-lang="en">Strength</span></td><td><span data-lang="zh-CN">已生成目标编译报告，可审查 IR 到 OpenAI、Claude、generic 等目标契约的映射。</span><span data-lang="en">Target compilation evidence is generated to review how IR maps to OpenAI, Claude, generic, and other target contracts.</span></td><td><span data-lang="zh-CN">保留并复用</span><span data-lang="en">Keep</span></td></tr><tr><td><span data-lang="zh-CN">缺口</span><span data-lang="en">Gap</span></td><td><span data-lang="zh-CN">上下文成本需要补强：入口约 342 个词/字，references 约 16934 个词/字。</span><span data-lang="en">Context cost needs improvement: Entrypoint is about 342 words/characters; references are about 16934.</span></td><td><span data-lang="zh-CN">纳入下一轮修复</span><span data-lang="en">Fix next</span></td></tr></tbody>
<tbody><tr><td><span data-lang="zh-CN">强项</span><span data-lang="en">Strength</span></td><td><span data-lang="zh-CN">触发面保持精简，并锚定在 frontmatter description。</span><span data-lang="en">The trigger surface stays lean and anchored in the frontmatter description.</span></td><td><span data-lang="zh-CN">保留并复用</span><span data-lang="en">Keep</span></td></tr><tr><td><span data-lang="zh-CN">强项</span><span data-lang="en">Strength</span></td><td><span data-lang="zh-CN">已生成 Skill IR，核心语义可先于平台打包被审查和迁移。</span><span data-lang="en">Skill IR is generated so core semantics can be reviewed and migrated before platform packaging.</span></td><td><span data-lang="zh-CN">保留并复用</span><span data-lang="en">Keep</span></td></tr><tr><td><span data-lang="zh-CN">强项</span><span data-lang="en">Strength</span></td><td><span data-lang="zh-CN">已生成目标编译报告，可审查 IR 到 OpenAI、Claude、generic 等目标契约的映射。</span><span data-lang="en">Target compilation evidence is generated to review how IR maps to OpenAI, Claude, generic, and other target contracts.</span></td><td><span data-lang="zh-CN">保留并复用</span><span data-lang="en">Keep</span></td></tr><tr><td><span data-lang="zh-CN">缺口</span><span data-lang="en">Gap</span></td><td><span data-lang="zh-CN">上下文成本需要补强：入口约 314 个词/字，references 约 16934 个词/字。</span><span data-lang="en">Context cost needs improvement: Entrypoint is about 314 words/characters; references are about 16934.</span></td><td><span data-lang="zh-CN">纳入下一轮修复</span><span data-lang="en">Fix next</span></td></tr></tbody>
</table>
<div class="two-col quality-panels">
<article class="panel">
@@ -925,7 +925,7 @@
<div>
<table>
<thead><tr><th><span data-lang="zh-CN">风险</span><span data-lang="en">Risk</span></th><th><span data-lang="zh-CN">信号</span><span data-lang="en">Signal</span></th><th><span data-lang="zh-CN">应对</span><span data-lang="en">Response</span></th></tr></thead>
<tbody><tr><td><span data-lang="zh-CN">误触发风险</span><span data-lang="en">Trigger risk</span></td><td><span data-lang="zh-CN">frontmatter description 已存在，具备基础路由面。</span><span data-lang="en">The frontmatter description exists, giving the skill a basic routing surface.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr><tr><td><span data-lang="zh-CN">输出漂移风险</span><span data-lang="en">Output drift risk</span></td><td><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr><tr><td><span data-lang="zh-CN">证据不足风险</span><span data-lang="en">Evidence gap risk</span></td><td><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr><tr><td><span data-lang="zh-CN">包体膨胀风险</span><span data-lang="en">Package bloat risk</span></td><td><span data-lang="zh-CN">SKILL.md 约 342 个词/字。</span><span data-lang="en">SKILL.md is about 342 words/characters.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr><tr><td><span data-lang="zh-CN">跨平台迁移风险</span><span data-lang="en">Portability risk</span></td><td><span data-lang="zh-CN">agents/interface.yaml 已存在。</span><span data-lang="en">agents/interface.yaml exists.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr></tbody>
<tbody><tr><td><span data-lang="zh-CN">误触发风险</span><span data-lang="en">Trigger risk</span></td><td><span data-lang="zh-CN">frontmatter description 已存在，具备基础路由面。</span><span data-lang="en">The frontmatter description exists, giving the skill a basic routing surface.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr><tr><td><span data-lang="zh-CN">输出漂移风险</span><span data-lang="en">Output drift risk</span></td><td><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr><tr><td><span data-lang="zh-CN">证据不足风险</span><span data-lang="en">Evidence gap risk</span></td><td><span data-lang="zh-CN">已生成 20 / 20 类报告证据。</span><span data-lang="en">Generated 20 / 20 evidence report types.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr><tr><td><span data-lang="zh-CN">包体膨胀风险</span><span data-lang="en">Package bloat risk</span></td><td><span data-lang="zh-CN">SKILL.md 约 314 个词/字。</span><span data-lang="en">SKILL.md is about 314 words/characters.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr><tr><td><span data-lang="zh-CN">跨平台迁移风险</span><span data-lang="en">Portability risk</span></td><td><span data-lang="zh-CN">agents/interface.yaml 已存在。</span><span data-lang="en">agents/interface.yaml exists.</span></td><td><span data-lang="zh-CN">先补证据和边界，再增加包体复杂度。</span><span data-lang="en">Improve evidence and boundaries before adding package complexity.</span></td></tr></tbody>
</table>
</div>
</div>
reports/skill-overview.json
+18 -18
View File
@@ -80,7 +80,7 @@
"label": "可维护性",
"score": 100,
"reasons": [
"SKILL.md 约 342 个词/字。",
"SKILL.md 约 314 个词/字。",
"入口文件保持克制，可维护性较好。",
"references/ 已承载扩展指导。",
"scripts/ 已承载确定性逻辑。",
@@ -101,7 +101,7 @@
"label": "上下文成本",
"score": 42,
"reasons": [
"入口约 342 个词/字，references 约 16934 个词/字。",
"入口约 314 个词/字，references 约 16934 个词/字。",
"分数越高代表上下文成本越低。",
"上下文成本偏高，建议压缩入口或拆分 references。"
]
@@ -205,7 +205,7 @@
"已生成 Output Review Adjudication，可记录盲评决策、一致率和待评审项。"
],
"gaps": [
"上下文成本需要补强：入口约 342 个词/字，references 约 16934 个词/字。"
"上下文成本需要补强：入口约 314 个词/字，references 约 16934 个词/字。"
],
"recommendations": [
"先改触发边界，再扩展工作流。",
@@ -270,7 +270,7 @@
"name": "包体膨胀风险",
"impact": 2,
"probability": 1,
"signal": "SKILL.md 约 342 个词/字。",
"signal": "SKILL.md 约 314 个词/字。",
"response": "先补证据和边界，再增加包体复杂度。"
},
{
@@ -634,11 +634,11 @@
"display_name": "Yao Meta Skill",
"description": "Create/improve/evaluate agent skills from workflows, prompts, SOPs, scripts. Use for migration/release/package, routing, evals/tests, install checks, 优化已有 skill, 补 trigger 评测. Exclude no-skill summary/translation/docs.",
"logic_steps": [
"For one-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, and the lightest fit.",
"Scan references in order: external benchmark, user source, local fit; surface only uncertainty or conflict.",
"Write `description` early, test route quality, then add only earned folders and gates.",
"Add output-risk, artifact-design, prompt-quality, system-model, and next directions only when useful."
"One-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, lightest fit.",
"Scan up to `3-5` references: external, user, local; skip tiny edits; surface only uncertainty/conflict.",
"Write `description` early; route/boundary edits need `trigger_eval.py`; releases need risk-matched gates before folders.",
"Add output-risk, artifact-design, prompt-quality, system-model, next directions only when earned."
],
"usage_steps": [
"Use $yao-meta-skill to turn my workflow or notes into a reusable skill with lean structure, clear triggering, and the right evals.",
@@ -1015,8 +1015,8 @@
"methodology_complete": true,
"required_artifact_count": 25,
"missing_artifact_count": 0,
"evidence_bundle_sha256": "639707e807e5ec8460f6aa6d1e5ba34874bb3228160555d8a01dbc37620d4873",
"source_contract_sha256": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3",
"evidence_bundle_sha256": "6c95043c2d8513102b37bc70a01647246933c84e8a27c2748cc2cae20e040158",
"source_contract_sha256": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c",
"archive_sha256": "c56a8519244c0bc8ec17c92d4641c832629cc059f4b51fe177a2c039515253a7",
"output_case_count": 5,
"failure_disclosure_count": 3,
@@ -1040,13 +1040,13 @@
"public_claim_ready": false,
"public_claim_blocker_count": 4,
"working_tree_dirty": true,
"changed_file_count": 84,
"changed_file_count": 37,
"source_tree_dirty": true,
"source_changed_file_count": 2,
"source_changed_file_count": 1,
"generated_tree_dirty": true,
"generated_changed_file_count": 82
"generated_changed_file_count": 36
},
"commit": "1710a5a3e0177313954758908735c147796e8981",
"commit": "24bea607a2b16e766bc8f2bc8483f22fae1edc61",
"missing_artifacts": [],
"limitations": [
"The git commit and dirty flags are generation-time context; release lock is blocked by source changes, while generated evidence artifacts are tracked separately.",
@@ -1152,7 +1152,7 @@
"interactive_script_count": 0,
"package_hash_scope": "source-contract-without-generated-reports",
"package_hash_file_count": 247,
"package_sha256": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3"
"package_sha256": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c"
},
"skill_atlas": {
"skill_count": 11,
@@ -1190,7 +1190,7 @@
"trust_level": "local",
"license": "MIT",
"checksums": {
"package_sha256": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3",
"package_sha256": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c",
"archive_sha256": "c56a8519244c0bc8ec17c92d4641c832629cc059f4b51fe177a2c039515253a7"
},
"compatibility": {
@@ -1324,7 +1324,7 @@
{
"field": "package_sha256",
"from": "0000000000000000000000000000000000000000000000000000000000000000",
"to": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3"
"to": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c"
}
]
},
reports/skillops/daily/2026-07-02.json
+1 -1
View File
@@ -1,7 +1,7 @@
{
"schema_version": "1.0",
"ok": true,
"generated_at": "2026-07-02T03:41:56Z",
"generated_at": "2026-07-02T06:33:07Z",
"skill_dir": ".",
"decision": "proposal-review",
"source_supplied": false,
reports/skillops/daily/2026-07-02.md
+1 -1
View File
@@ -1,6 +1,6 @@
# Daily SkillOps Report
Generated at: `2026-07-02T03:41:56Z`
Generated at: `2026-07-02T06:33:07Z`
## Summary
reports/skillops/weekly/2026-W27.json
+1 -1
View File
@@ -1,7 +1,7 @@
{
"schema_version": "1.0",
"ok": true,
"generated_at": "2026-07-02T03:41:56Z",
"generated_at": "2026-07-02T06:33:07Z",
"skill_dir": ".",
"decision": "curator-review",
"week_id": "2026-W27",
reports/skillops/weekly/2026-W27.md
+1 -1
View File
@@ -1,6 +1,6 @@
# Weekly SkillOps Curator Report
Generated at: `2026-07-02T03:41:56Z`
Generated at: `2026-07-02T06:33:07Z`
Week: `2026-W27`
## Summary
reports/upgrade_check.json
+1 -1
View File
@@ -75,7 +75,7 @@
{
"field": "package_sha256",
"from": "0000000000000000000000000000000000000000000000000000000000000000",
"to": "e0863533e0a0f0b5069bace6a24d7adfb43d615453f08cff7578076a3cb1a2a3"
"to": "db71157184dc649ee72dfcaf399204d44a366d942393d055571e0137d42c9f7c"
}
]
},
reports/world_class_claim_guard.json
+32 -4
View File
@@ -6,10 +6,10 @@
"summary": {
"ledger_ready_to_claim_world_class": false,
"ledger_pending_count": 4,
"claim_surface_count": 194,
"json_claim_surface_count": 92,
"metadata_claim_surface_count": 93,
"package_claim_surface_count": 10,
"claim_surface_count": 201,
"json_claim_surface_count": 97,
"metadata_claim_surface_count": 98,
"package_claim_surface_count": 17,
"violation_count": 0,
"overclaim_guard_active": true,
"decision": "claim-guard-pass-evidence-pending"
@@ -54,6 +54,34 @@
"path": "agents/interface.yaml",
"violation_count": 0
},
{
"path": "dist/manifest.json",
"violation_count": 0
},
{
"path": "dist/targets/claude/README.md",
"violation_count": 0
},
{
"path": "dist/targets/claude/adapter.json",
"violation_count": 0
},
{
"path": "dist/targets/generic/adapter.json",
"violation_count": 0
},
{
"path": "dist/targets/openai/adapter.json",
"violation_count": 0
},
{
"path": "dist/targets/vscode/README.md",
"violation_count": 0
},
{
"path": "dist/targets/vscode/adapter.json",
"violation_count": 0
},
{
"path": "docs/README.fr-FR.md",
"violation_count": 0
reports/world_class_claim_guard.md
+4 -4
View File
@@ -7,10 +7,10 @@ Generated at: `2026-07-02`
- decision: `claim-guard-pass-evidence-pending`
- ledger ready to claim world-class: `false`
- ledger pending evidence: `4`
- claim surfaces scanned: `194`
- JSON claim surfaces scanned: `92`
- metadata claim surfaces scanned: `93`
- package/runtime claim surfaces scanned: `10`
- claim surfaces scanned: `201`
- JSON claim surfaces scanned: `97`
- metadata claim surfaces scanned: `98`
- package/runtime claim surfaces scanned: `17`
- violations: `0`
- overclaim guard active: `true`
reports/world_class_evidence_preflight.html
+2 -2
View File
@@ -92,7 +92,7 @@
<article class="role-card">
<span>Supporting evidence</span>
<h3>supporting-evidence</h3>
<strong>27/28 ready</strong>
<strong>31/31 ready</strong>
<p>Supporting-evidence rows help reviewers audit the packet but do not all need to be copied into artifact_refs.</p>
<small>copy to artifact_refs: <code>false</code></small>
</article>
@@ -667,7 +667,7 @@
<article class="role-card">
<span>Supporting evidence</span>
<h3>supporting-evidence</h3>
<strong>7/8 ready</strong>
<strong>11/11 ready</strong>
<p>Supporting-evidence rows help reviewers audit the packet but do not all need to be copied into artifact_refs.</p>
<small>copy to artifact_refs: <code>false</code></small>
</article>
reports/world_class_evidence_preflight.json
+4 -4
View File
@@ -802,8 +802,8 @@
"artifact_prefill_counts_as_evidence": false,
"submission_ref_total_count": 2,
"submission_ref_ready_count": 2,
"supporting_evidence_total_count": 8,
"supporting_evidence_ready_count": 7,
"supporting_evidence_total_count": 11,
"supporting_evidence_ready_count": 11,
"roles": [
{
"role": "submission-ref",
@@ -1946,8 +1946,8 @@
"artifact_prefill_counts_as_evidence": false,
"submission_ref_total_count": 7,
"submission_ref_ready_count": 7,
"supporting_evidence_total_count": 28,
"supporting_evidence_ready_count": 27,
"supporting_evidence_total_count": 31,
"supporting_evidence_ready_count": 31,
"roles": [
{
"role": "submission-ref",
reports/world_class_evidence_preflight.md
+3 -3
View File
@@ -33,14 +33,14 @@ This preflight report checks whether an operator can start collecting the remain
- drafts count as evidence: `false`
- artifact prefill counts as evidence: `false`
- submission refs ready: `7` / `7`
- supporting evidence ready: `27` / `28`
- supporting evidence ready: `31` / `31`
Generate the submission kit after the real provider, human, native-permission, or native-client work exists. The generated JSON drafts remain `template_only: true` until an operator edits them with real aggregate artifact references and matching SHA-256 digests. The prefill command only inserts local artifact SHA-256 digests; it does not make a draft count as evidence.
| Role | Copy to artifact_refs | Ready | Meaning |
| --- | --- | --- | --- |
| `submission-ref` | `true` | `7 / 7` | Rows marked submission-ref are the aggregate paths expected in artifact_refs. |
| `supporting-evidence` | `false` | `27 / 28` | Supporting-evidence rows help reviewers audit the packet but do not all need to be copied into artifact_refs. |
| `supporting-evidence` | `false` | `31 / 31` | Supporting-evidence rows help reviewers audit the packet but do not all need to be copied into artifact_refs. |
`submission-ref` rows are the only checklist rows expected in `artifact_refs`; `supporting-evidence` rows stay available for audit context and reviewer traceability.
@@ -149,7 +149,7 @@ Repair rows convert preflight and source blockers into a prioritized operator qu
- prepare draft: `python3 scripts/yao.py world-class-submission-kit . --evidence-key native-permission-enforcement --output-dir evidence/world_class/submissions`
- prepare draft with artifact SHA prefill: `python3 scripts/yao.py world-class-submission-kit . --evidence-key native-permission-enforcement --output-dir evidence/world_class/submissions --prefill-artifacts`
- submission refs ready: `2` / `2`
- supporting evidence ready: `7` / `8`
- supporting evidence ready: `11` / `11`
### Prechecks
skill-ir/examples/yao-meta-skill.json
+6 -6
View File
@@ -40,17 +40,17 @@
},
"workflow": {
"steps": [
"For one-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, and the lightest fit.",
"Scan references in order: external benchmark, user source, local fit; surface only uncertainty or conflict.",
"Write `description` early, test route quality, then add only earned folders and gates.",
"Add output-risk, artifact-design, prompt-quality, system-model, and next directions only when useful."
"One-off/no reusable process: `Do not create a skill`; `near-neighbor`; require `repeated use` + `reusable output contract`.",
"Capture job, output, exclusions, constraints, standards, lightest fit.",
"Scan up to `3-5` references: external, user, local; skip tiny edits; surface only uncertainty/conflict.",
"Write `description` early; route/boundary edits need `trigger_eval.py`; releases need risk-matched gates before folders.",
"Add output-risk, artifact-design, prompt-quality, system-model, next directions only when earned."
],
"decision_points": [
"Route by frontmatter `description`.",
"Keep `SKILL.md` lean; put guidance in `references/`, logic in `scripts/`, and evidence in `reports/`.",
"Use the lightest reliable process.",
"`Scaffold`: exploratory/personal. `Production`: team reuse. `Library`: shared infrastructure. `Governed`: high-trust, policy-sensitive, or release-critical.",
"`Scaffold`: exploratory/personal. `Production`: team reuse. `Library`: shared infra. `Governed`: high-trust/release-critical.",
"Rules: [Method](references/skill-engineering-method.md), [Operating Modes](references/operating-modes.md), [Resource Boundaries](references/resource-boundaries.md).",
"Ask one focused clarification when the real job, output, or exclusion boundary is unclear.",
"Escalate visible tradeoffs when benchmark patterns conflict with local privacy, naming, or governance constraints.",