Files
yao-meta-skill/scripts/render_evidence_consistency.py
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2026-06-16 04:04:24 +08:00

860 lines
37 KiB
Python

#!/usr/bin/env python3
import argparse
import ast
import json
from datetime import date
from pathlib import Path
from typing import Any
from evidence_consistency_release import build_release_evidence_flow_check
from evidence_consistency_world_class import build_world_class_workflow_check
from skill_ir_paths import find_skill_ir_path
ROOT = Path(__file__).resolve().parent.parent
SCRIPT_INTERFACE = "cli"
SCRIPT_INTERFACE_REASON = "Renders a cross-report evidence consistency gate for generated Skill OS reports."
REQUIRED_REPORTS = {
"benchmark": "reports/benchmark_reproducibility.json",
"overview": "reports/skill-overview.json",
"interpretation": "reports/skill-interpretation.json",
"adoption": "reports/adoption_drift_report.json",
"world_class_ledger": "reports/world_class_evidence_ledger.json",
"world_class_plan": "reports/world_class_evidence_plan.json",
"world_class_intake": "reports/world_class_evidence_intake.json",
"world_class_preflight": "reports/world_class_evidence_preflight.json",
"world_class_submission_review": "reports/world_class_submission_review.json",
"world_class_operator_runbook": "reports/world_class_operator_runbook.json",
"skill_os2_coverage": "reports/skill_os2_coverage.json",
"review_studio": "reports/review-studio.json",
"package_verification": "reports/package_verification.json",
"install_simulation": "reports/install_simulation.json",
"trust": "reports/security_trust_report.json",
"context_budget": "reports/context_budget.json",
"world_class_claim_guard": "reports/world_class_claim_guard.json",
}
REQUIRED_TEXT_REPORTS = {
"skill_os2_review": "reports/skill-os-2-review.md",
}
BENCHMARK_SUMMARY_KEYS = [
"release_lock_ready",
"required_artifact_count",
"missing_artifact_count",
"source_contract_sha256",
"archive_sha256",
"world_class_ledger_pending_count",
"world_class_source_check_count",
"world_class_source_pass_count",
"world_class_source_blocked_count",
"public_claim_ready",
"public_claim_blocker_count",
]
ADOPTION_SUMMARY_KEYS = [
"event_count",
"adoption_sample_count",
"activation_count",
"accepted_count",
"adoption_rate",
"risk_band",
"event_types",
"source_types",
]
LEDGER_SUMMARY_KEYS = [
"ledger_entry_count",
"accepted_count",
"pending_count",
"human_pending_count",
"external_pending_count",
"source_check_count",
"source_pass_count",
"source_blocked_count",
"ready_to_claim_world_class",
"decision",
]
LOCKSTEP_SECTIONS = [
"scorecard",
"capability_profile",
"principle_model",
"contract_boundary",
"quality_review",
"risk_governance",
"world_class_readiness",
"package_assets",
"iteration_roadmap",
]
def load_json(path: Path) -> tuple[dict[str, Any], str | None]:
if not path.exists():
return {}, "missing"
try:
payload = json.loads(path.read_text(encoding="utf-8"))
except json.JSONDecodeError as exc:
return {}, f"invalid-json: {exc}"
if not isinstance(payload, dict):
return {}, "json-root-not-object"
return payload, None
def load_text(path: Path) -> tuple[str, str | None]:
if not path.exists():
return "", "missing"
return path.read_text(encoding="utf-8"), None
def ci_default_target_count(path: Path) -> int | None:
if not path.exists():
return None
tree = ast.parse(path.read_text(encoding="utf-8"))
for node in tree.body:
if not isinstance(node, ast.Assign):
continue
if not any(isinstance(target, ast.Name) and target.id == "DEFAULT_TARGETS" for target in node.targets):
continue
if isinstance(node.value, (ast.List, ast.Tuple)):
return len(node.value.elts)
return None
def rel_path(path: Path, root: Path) -> str:
try:
return str(path.resolve().relative_to(root.resolve()))
except ValueError:
return str(path.resolve())
def nested(payload: dict[str, Any], path: list[str], default: Any = None) -> Any:
current: Any = payload
for key in path:
if not isinstance(current, dict) or key not in current:
return default
current = current[key]
return current
def scanned_surface_paths(payload: dict[str, Any]) -> set[str]:
surfaces = payload.get("scanned_surfaces")
if not isinstance(surfaces, list):
return set()
paths: set[str] = set()
for item in surfaces:
if isinstance(item, dict) and isinstance(item.get("path"), str):
paths.add(item["path"])
elif isinstance(item, str):
paths.add(item)
return paths
def as_int(value: Any) -> int | None:
if isinstance(value, bool):
return None
try:
return int(value)
except (TypeError, ValueError):
return None
def add_check(
checks: list[dict[str, Any]],
*,
key: str,
label: str,
status: str,
expected: Any,
actual: Any,
paths: list[str],
detail: str,
) -> None:
checks.append(
{
"key": key,
"label": label,
"status": status,
"expected": expected,
"actual": actual,
"paths": paths,
"detail": detail,
}
)
def compare_values(
checks: list[dict[str, Any]],
*,
key: str,
label: str,
expected: Any,
actual: Any,
paths: list[str],
detail: str,
) -> None:
add_check(
checks,
key=key,
label=label,
status="pass" if expected == actual else "fail",
expected=expected,
actual=actual,
paths=paths,
detail=detail,
)
def compare_summary_keys(
checks: list[dict[str, Any]],
*,
key_prefix: str,
label: str,
source_summary: dict[str, Any],
embedded_summary: dict[str, Any],
keys: list[str],
paths: list[str],
) -> None:
expected = {key: source_summary.get(key) for key in keys}
actual = {key: embedded_summary.get(key) for key in keys}
compare_values(
checks,
key=key_prefix,
label=label,
expected=expected,
actual=actual,
paths=paths,
detail="Selected summary fields must match exactly across generated reports.",
)
def gate_by_key(review_studio: dict[str, Any], key: str) -> dict[str, Any]:
gates = review_studio.get("gates")
if not isinstance(gates, list):
return {}
for item in gates:
if isinstance(item, dict) and item.get("key") == key:
return item
return {}
def report_contract(payload: dict[str, Any]) -> dict[str, Any]:
contract = payload.get("report_contract")
return contract if isinstance(contract, dict) else {}
def build_report(skill_dir: Path, generated_at: str) -> dict[str, Any]:
reports: dict[str, dict[str, Any]] = {}
text_reports: dict[str, str] = {}
checks: list[dict[str, Any]] = []
load_failures: dict[str, str] = {}
for name, relative in REQUIRED_REPORTS.items():
payload, failure = load_json(skill_dir / relative)
reports[name] = payload
if failure:
load_failures[relative] = failure
for name, relative in REQUIRED_TEXT_REPORTS.items():
text, failure = load_text(skill_dir / relative)
text_reports[name] = text
if failure:
load_failures[relative] = failure
add_check(
checks,
key="required-report-artifacts",
label="Required report artifacts are readable",
status="pass" if not load_failures else "fail",
expected="all required JSON and Markdown reports exist and parse",
actual=load_failures or "all readable",
paths=list(REQUIRED_REPORTS.values()) + list(REQUIRED_TEXT_REPORTS.values()),
detail="The consistency gate can only be trusted when every source JSON report parses and every source Markdown report is readable.",
)
checks.append(build_release_evidence_flow_check(skill_dir))
benchmark = reports["benchmark"]
overview = reports["overview"]
interpretation = reports["interpretation"]
adoption = reports["adoption"]
ledger = reports["world_class_ledger"]
world_class_plan = reports["world_class_plan"]
world_class_intake = reports["world_class_intake"]
world_class_preflight = reports["world_class_preflight"]
world_class_submission_review = reports["world_class_submission_review"]
world_class_operator_runbook = reports["world_class_operator_runbook"]
coverage = reports["skill_os2_coverage"]
review_studio = reports["review_studio"]
package_verification = reports["package_verification"]
install_simulation = reports["install_simulation"]
trust = reports["trust"]
context_budget = reports["context_budget"]
claim_guard = reports["world_class_claim_guard"]
benchmark_summary = nested(benchmark, ["summary"], {})
adoption_summary = nested(adoption, ["summary"], {})
ledger_summary = nested(ledger, ["summary"], {})
coverage_summary = nested(coverage, ["summary"], {})
studio_summary = nested(review_studio, ["summary"], {})
package_summary = nested(package_verification, ["summary"], {})
install_summary = nested(install_simulation, ["summary"], {})
trust_summary = nested(trust, ["summary"], {})
context_stats = nested(context_budget, ["stats"], {})
claim_guard_summary = nested(claim_guard, ["summary"], {})
preflight_summary = nested(world_class_preflight, ["summary"], {})
context_governance = (
context_stats.get("deferred_resource_governance", {}) if isinstance(context_stats, dict) else {}
)
if not isinstance(context_governance, dict):
context_governance = {}
large_deferred_dirs = context_stats.get("large_deferred_resource_dirs", []) if isinstance(context_stats, dict) else []
top_deferred = "none"
if isinstance(large_deferred_dirs, list) and large_deferred_dirs:
first = large_deferred_dirs[0] if isinstance(large_deferred_dirs[0], dict) else {}
top_deferred = f"{first.get('path', 'resource')} {first.get('estimated_tokens', 'n/a')}"
context_expected_status = "pass" if context_budget.get("ok") else "block"
if context_budget.get("warnings") and context_expected_status == "pass":
context_expected_status = "warn"
context_expected_detail = (
f"initial load {context_stats.get('estimated_initial_load_tokens', 'n/a')}/"
f"{context_stats.get('context_budget_limit', 'n/a')}; "
f"deferred {context_stats.get('deferred_resource_tokens', 'n/a')}/"
f"{context_stats.get('deferred_resource_warn_threshold', 'n/a')}; "
f"top deferred {top_deferred}; "
f"resource governance {context_governance.get('status', 'unknown')}; "
f"quality density {context_stats.get('quality_density', 'n/a')}"
)
context_gate = gate_by_key(review_studio, "context-budget")
compare_values(
checks,
key="review-studio-context-budget-mirror",
label="Review Studio mirrors context budget governance",
expected={
"status": context_expected_status,
"detail": context_expected_detail,
"evidence": REQUIRED_REPORTS["context_budget"],
},
actual={
"status": context_gate.get("status"),
"detail": context_gate.get("detail"),
"evidence": context_gate.get("evidence"),
},
paths=[REQUIRED_REPORTS["context_budget"], REQUIRED_REPORTS["review_studio"]],
detail=(
"Review Studio must not keep stale context warnings after context reports prove large deferred resources are governed."
),
)
if isinstance(benchmark_summary, dict):
compare_values(
checks,
key="benchmark-release-lock-self-consistency",
label="Benchmark release lock matches git dirty state",
expected=not bool(nested(benchmark, ["git_status", "dirty"], True)),
actual=benchmark_summary.get("release_lock_ready"),
paths=[REQUIRED_REPORTS["benchmark"]],
detail="The benchmark release lock must reflect the generation-time git dirty flag.",
)
skill_name = str(overview.get("name") or nested(review_studio, ["data", "frontmatter", "name"]) or skill_dir.name)
expected_skill_ir_path = find_skill_ir_path(skill_dir, skill_name, require_schema=True)
expected_skill_ir = {
"source_path": expected_skill_ir_path,
"exists": bool(expected_skill_ir_path and (skill_dir / expected_skill_ir_path).exists()),
"schema_version": load_json(skill_dir / expected_skill_ir_path)[0].get("schema_version")
if expected_skill_ir_path
else "",
}
actual_skill_ir = {
"overview_source_path": nested(overview, ["skill_ir", "source_path"], ""),
"interpretation_source_path": nested(interpretation, ["skill_ir", "source_path"], ""),
"review_studio_evidence_path": nested(review_studio, ["evidence_paths", "skill_ir"], ""),
"overview_deliverable": expected_skill_ir_path in nested(overview, ["skill_summary", "deliverables"], []),
"interpretation_deliverable": expected_skill_ir_path
in nested(interpretation, ["skill_summary", "deliverables"], []),
}
compare_values(
checks,
key="skill-ir-evidence-path-contract",
label="Human-facing reports expose the canonical Skill IR artifact",
expected={
"overview_source_path": expected_skill_ir["source_path"],
"interpretation_source_path": expected_skill_ir["source_path"],
"review_studio_evidence_path": expected_skill_ir["source_path"],
"overview_deliverable": True,
"interpretation_deliverable": True,
"exists": True,
"schema_version": "2.0.0",
},
actual={**actual_skill_ir, **{key: expected_skill_ir[key] for key in ("exists", "schema_version")}},
paths=[
REQUIRED_REPORTS["overview"],
REQUIRED_REPORTS["interpretation"],
REQUIRED_REPORTS["review_studio"],
expected_skill_ir_path or "skill-ir/examples",
],
detail="Skill IR is the 2.0 platform-neutral semantic source, so user-facing reports must link to the artifact that actually exists.",
)
for report_key, payload in [("overview", overview), ("interpretation", interpretation)]:
embedded_benchmark = nested(payload, ["benchmark_reproducibility"], {})
compare_values(
checks,
key=f"{report_key}-benchmark-commit",
label=f"{report_key} embeds the benchmark commit",
expected=benchmark.get("commit"),
actual=nested(embedded_benchmark, ["commit"]),
paths=[REQUIRED_REPORTS["benchmark"], REQUIRED_REPORTS[report_key]],
detail="Human-facing reports must point to the same benchmark release-lock commit.",
)
compare_summary_keys(
checks,
key_prefix=f"{report_key}-benchmark-summary",
label=f"{report_key} embeds benchmark summary fields",
source_summary=benchmark_summary if isinstance(benchmark_summary, dict) else {},
embedded_summary=nested(embedded_benchmark, ["summary"], {}),
keys=BENCHMARK_SUMMARY_KEYS,
paths=[REQUIRED_REPORTS["benchmark"], REQUIRED_REPORTS[report_key]],
)
compare_summary_keys(
checks,
key_prefix=f"{report_key}-adoption-summary",
label=f"{report_key} embeds adoption drift summary fields",
source_summary=adoption_summary if isinstance(adoption_summary, dict) else {},
embedded_summary=nested(payload, ["adoption_drift", "summary"], {}),
keys=ADOPTION_SUMMARY_KEYS,
paths=[REQUIRED_REPORTS["adoption"], REQUIRED_REPORTS[report_key]],
)
compare_summary_keys(
checks,
key_prefix=f"{report_key}-world-class-ledger-summary",
label=f"{report_key} embeds world-class ledger summary fields",
source_summary=ledger_summary if isinstance(ledger_summary, dict) else {},
embedded_summary=nested(payload, ["world_class_evidence_ledger", "summary"], {}),
keys=LEDGER_SUMMARY_KEYS,
paths=[REQUIRED_REPORTS["world_class_ledger"], REQUIRED_REPORTS[report_key]],
)
readiness_expected = {
"ready": ledger_summary.get("ready_to_claim_world_class") if isinstance(ledger_summary, dict) else None,
"decision": ledger_summary.get("decision") if isinstance(ledger_summary, dict) else None,
"pending_count": ledger_summary.get("pending_count") if isinstance(ledger_summary, dict) else None,
"accepted_count": ledger_summary.get("accepted_count") if isinstance(ledger_summary, dict) else None,
"source_check_count": ledger_summary.get("source_check_count") if isinstance(ledger_summary, dict) else None,
"source_pass_count": ledger_summary.get("source_pass_count") if isinstance(ledger_summary, dict) else None,
}
readiness = nested(payload, ["world_class_readiness"], {})
readiness_actual = {key: readiness.get(key) if isinstance(readiness, dict) else None for key in readiness_expected}
compare_values(
checks,
key=f"{report_key}-world-class-readiness",
label=f"{report_key} derives readiness from the ledger",
expected=readiness_expected,
actual=readiness_actual,
paths=[REQUIRED_REPORTS["world_class_ledger"], REQUIRED_REPORTS[report_key]],
detail="Readiness summaries must be derived from the evidence ledger, not hand-maintained copy.",
)
for section in LOCKSTEP_SECTIONS:
compare_values(
checks,
key=f"overview-interpretation-lockstep-{section.replace('_', '-')}",
label=f"Overview and interpretation share {section}",
expected=overview.get(section),
actual=interpretation.get(section),
paths=[REQUIRED_REPORTS["overview"], REQUIRED_REPORTS["interpretation"]],
detail="The first-class interpretation report must stay in lockstep with the canonical overview model.",
)
for report_key, expected_html in [
("overview", "reports/skill-overview.html"),
("interpretation", "reports/skill-interpretation.html"),
]:
contract = report_contract(reports[report_key])
expected = {
"schema_version": "2.0",
"default_language": "zh-CN",
"layout": "kami-white-audit-v2",
"html_report": expected_html,
"html_exists": True,
}
actual = {
"schema_version": contract.get("schema_version"),
"default_language": contract.get("default_language"),
"layout": contract.get("layout"),
"html_report": contract.get("html_report"),
"html_exists": (skill_dir / expected_html).exists(),
}
compare_values(
checks,
key=f"{report_key}-html-contract",
label=f"{report_key} has a stable HTML contract",
expected=expected,
actual=actual,
paths=[REQUIRED_REPORTS[report_key], expected_html],
detail="Report output paths and language defaults are part of the user-facing contract.",
)
if isinstance(ledger_summary, dict):
expected_boundary = {
"world_class_evidence_pending_count": ledger_summary.get("pending_count"),
"public_world_class_ready": ledger_summary.get("ready_to_claim_world_class"),
}
actual_boundary = {
"world_class_evidence_pending_count": coverage_summary.get("world_class_evidence_pending_count")
if isinstance(coverage_summary, dict)
else None,
"public_world_class_ready": coverage_summary.get("public_world_class_ready")
if isinstance(coverage_summary, dict)
else None,
}
compare_values(
checks,
key="coverage-world-class-boundary",
label="Coverage report mirrors world-class evidence boundary",
expected=expected_boundary,
actual=actual_boundary,
paths=[REQUIRED_REPORTS["world_class_ledger"], REQUIRED_REPORTS["skill_os2_coverage"]],
detail="Blueprint coverage can be locally complete while public world-class evidence remains pending.",
)
benchmark_boundary = {
"world_class_ledger_pending_count": ledger_summary.get("pending_count"),
"world_class_source_check_count": ledger_summary.get("source_check_count"),
"world_class_source_pass_count": ledger_summary.get("source_pass_count"),
"world_class_source_blocked_count": ledger_summary.get("source_blocked_count"),
"public_claim_ready": ledger_summary.get("ready_to_claim_world_class"),
}
actual_benchmark_boundary = {
key: benchmark_summary.get(key) if isinstance(benchmark_summary, dict) else None
for key in benchmark_boundary
}
compare_values(
checks,
key="benchmark-world-class-boundary",
label="Benchmark report mirrors world-class evidence boundary",
expected=benchmark_boundary,
actual=actual_benchmark_boundary,
paths=[REQUIRED_REPORTS["world_class_ledger"], REQUIRED_REPORTS["benchmark"]],
detail="Benchmark reproducibility must not overstate public claim readiness.",
)
preflight_boundary = {
"pending_count": ledger_summary.get("pending_count"),
"source_check_count": ledger_summary.get("source_check_count"),
"source_pass_count": ledger_summary.get("source_pass_count"),
"source_blocked_count": ledger_summary.get("source_blocked_count"),
"ready_to_claim_world_class": ledger_summary.get("ready_to_claim_world_class"),
"preflight_counts_as_evidence": False,
"credential_value_exposed": False,
}
actual_preflight_boundary = {
key: preflight_summary.get(key) if isinstance(preflight_summary, dict) else None
for key in preflight_boundary
}
compare_values(
checks,
key="preflight-world-class-boundary",
label="Preflight mirrors ledger without accepting evidence",
expected=preflight_boundary,
actual=actual_preflight_boundary,
paths=[REQUIRED_REPORTS["world_class_ledger"], REQUIRED_REPORTS["world_class_preflight"]],
detail="Collection preflight may help operators gather evidence, but it must not print secrets or change world-class readiness.",
)
preflight_submissions = (
world_class_preflight.get("submissions", {})
if isinstance(world_class_preflight.get("submissions", {}), dict)
else {}
)
preflight_commands = (
preflight_submissions.get("commands", {})
if isinstance(preflight_submissions.get("commands", {}), dict)
else {}
)
default_submissions_dir = "evidence/world_class/submissions"
expected_preflight_handoff = {
"directory": default_submissions_dir,
"drafts_count_as_evidence": False,
"preflight_counts_submission_as_completion": False,
"html_report": "reports/world_class_evidence_preflight.html",
"html_exists": True,
"prepare_submission": f"python3 scripts/yao.py world-class-submission-kit . --output-dir {default_submissions_dir}",
"prepare_prefilled_submission": (
f"python3 scripts/yao.py world-class-submission-kit . --output-dir {default_submissions_dir} "
"--prefill-artifacts"
),
"validate_intake": f"python3 scripts/yao.py world-class-intake . --submissions-dir {default_submissions_dir}",
"submission_review": f"python3 scripts/yao.py world-class-submission-review . --submissions-dir {default_submissions_dir}",
"refresh_ledger": f"python3 scripts/yao.py world-class-ledger . --submissions-dir {default_submissions_dir}",
"guard_claim": "python3 scripts/yao.py world-class-claim-guard .",
"artifact_prefill_counts_as_evidence": False,
}
actual_preflight_handoff = {
"directory": preflight_submissions.get("directory"),
"drafts_count_as_evidence": preflight_submissions.get("drafts_count_as_evidence"),
"preflight_counts_submission_as_completion": preflight_submissions.get(
"preflight_counts_submission_as_completion"
),
"html_report": world_class_preflight.get("artifacts", {}).get("html")
if isinstance(world_class_preflight.get("artifacts", {}), dict)
else None,
"html_exists": (skill_dir / "reports" / "world_class_evidence_preflight.html").exists(),
"prepare_submission": preflight_commands.get("prepare_submission"),
"prepare_prefilled_submission": preflight_commands.get("prepare_prefilled_submission"),
"validate_intake": preflight_commands.get("validate_intake"),
"submission_review": preflight_commands.get("submission_review"),
"refresh_ledger": preflight_commands.get("refresh_ledger"),
"guard_claim": preflight_commands.get("guard_claim"),
"artifact_prefill_counts_as_evidence": preflight_submissions.get(
"artifact_prefill_counts_as_evidence"
),
}
compare_values(
checks,
key="preflight-submission-kit-handoff",
label="Preflight exposes a safe submission-kit handoff",
expected=expected_preflight_handoff,
actual=actual_preflight_handoff,
paths=[REQUIRED_REPORTS["world_class_preflight"], "reports/world_class_evidence_preflight.html"],
detail=(
"Preflight must give operators the exact draft, SHA-prefill, intake, review, ledger, "
"and claim-guard commands without letting drafts, prefill, or submissions count as accepted evidence."
),
)
public_ready = bool(ledger_summary.get("ready_to_claim_world_class")) if isinstance(ledger_summary, dict) else False
compare_values(
checks,
key="review-studio-no-overclaim",
label="Review Studio does not overclaim pending world-class evidence",
expected=False if not public_ready else True,
actual=studio_summary.get("decision") in {"pass", "release", "ready", "world-class-ready"}
if isinstance(studio_summary, dict)
else None,
paths=[REQUIRED_REPORTS["world_class_ledger"], REQUIRED_REPORTS["review_studio"]],
detail="When world-class evidence is pending, Review Studio must stay in a review or warning posture.",
)
claim_surface_paths = scanned_surface_paths(claim_guard)
required_claim_surfaces = [
"README.md",
"SKILL.md",
"manifest.json",
"agents/interface.yaml",
"evidence/world_class/README.md",
"security/permission_policy.json",
"reports/world_class_evidence_ledger.json",
]
optional_claim_surfaces = [
"dist/manifest.json",
"dist/targets/openai/adapter.json",
]
required_claim_surfaces.extend(
path for path in optional_claim_surfaces if (skill_dir / path).exists()
)
prohibited_claim_surface_prefixes = [
"dist/install-simulation/",
"evidence/world_class/submissions/",
]
json_claim_surface_count = as_int(claim_guard_summary.get("json_claim_surface_count"))
metadata_claim_surface_count = as_int(claim_guard_summary.get("metadata_claim_surface_count"))
package_claim_surface_count = as_int(claim_guard_summary.get("package_claim_surface_count"))
claim_surface_count = as_int(claim_guard_summary.get("claim_surface_count"))
expected_claim_guard_surface = {
"overclaim_guard_active": True,
"violation_count": 0,
"ledger_ready_to_claim_world_class": ledger_summary.get("ready_to_claim_world_class")
if isinstance(ledger_summary, dict)
else None,
"ledger_pending_count": ledger_summary.get("pending_count") if isinstance(ledger_summary, dict) else None,
"metadata_covers_json": True,
"package_surface_minimum": True,
"claim_surface_covers_package": True,
"required_surfaces": {path: True for path in required_claim_surfaces},
"prohibited_surfaces": [],
}
actual_claim_guard_surface = {
"overclaim_guard_active": claim_guard_summary.get("overclaim_guard_active"),
"violation_count": claim_guard_summary.get("violation_count"),
"ledger_ready_to_claim_world_class": claim_guard_summary.get("ledger_ready_to_claim_world_class"),
"ledger_pending_count": claim_guard_summary.get("ledger_pending_count"),
"metadata_covers_json": (
metadata_claim_surface_count is not None
and json_claim_surface_count is not None
and metadata_claim_surface_count >= json_claim_surface_count
),
"package_surface_minimum": package_claim_surface_count is not None and package_claim_surface_count >= 5,
"claim_surface_covers_package": (
claim_surface_count is not None
and package_claim_surface_count is not None
and claim_surface_count >= package_claim_surface_count
),
"required_surfaces": {path: path in claim_surface_paths for path in required_claim_surfaces},
"prohibited_surfaces": sorted(
path
for path in claim_surface_paths
if any(path.startswith(prefix) for prefix in prohibited_claim_surface_prefixes)
),
}
compare_values(
checks,
key="claim-guard-package-runtime-surface",
label="Claim guard covers package and runtime claim surfaces",
expected=expected_claim_guard_surface,
actual=actual_claim_guard_surface,
paths=[
REQUIRED_REPORTS["world_class_claim_guard"],
"manifest.json",
"agents/interface.yaml",
"dist/manifest.json",
"dist/targets/openai/adapter.json",
"evidence/world_class/README.md",
"security/permission_policy.json",
REQUIRED_REPORTS["world_class_ledger"],
],
detail="The overclaim guard must scan package manifests, adapter metadata, security policy, and ledger surfaces before public readiness can be trusted.",
)
checks.append(
build_world_class_workflow_check(
ledger=ledger,
world_class_plan=world_class_plan,
world_class_intake=world_class_intake,
world_class_submission_review=world_class_submission_review,
world_class_operator_runbook=world_class_operator_runbook,
review_studio=review_studio,
report_paths=REQUIRED_REPORTS,
)
)
skill_os2_review = text_reports.get("skill_os2_review", "")
ci_target_count = ci_default_target_count(skill_dir / "scripts" / "ci_test.py")
expected_review_snippets = [
f"score `{studio_summary.get('world_class_score')}`",
f"`{studio_summary.get('gate_count')}` gates",
f"`{studio_summary.get('warning_count')}` warnings",
f"`{trust_summary.get('internal_module_count')}` declared internal modules",
(
f"`{trust_summary.get('help_smoke_checked_count')} / {trust_summary.get('help_smoke_checked_count')}` "
f"CLI help smoke checks passing across `{trust_summary.get('script_count')}` scripts"
),
f"`{package_summary.get('archive_entry_count')}` zip entries",
f"archive with `{package_summary.get('archive_entry_count')}` entries",
f"`{install_summary.get('installer_permission_enforced_count')}` installer permission checks enforced",
f"`{install_summary.get('installer_permission_failure_count')}` permission failures",
f"`{benchmark_summary.get('required_artifact_count')}` required artifacts",
f"`{benchmark_summary.get('command_count')}` reproduction commands",
(
f"initial load `{context_stats.get('estimated_initial_load_tokens')}/"
f"{context_stats.get('context_budget_limit')}`"
),
f"target count is `{ci_target_count}`",
]
missing_review_snippets = [snippet for snippet in expected_review_snippets if snippet not in skill_os2_review]
add_check(
checks,
key="skill-os-2-review-current-evidence",
label="Skill OS 2.0 review summary mirrors current evidence",
status="pass" if not missing_review_snippets else "fail",
expected=expected_review_snippets,
actual="all present" if not missing_review_snippets else {"missing": missing_review_snippets},
paths=[
REQUIRED_TEXT_REPORTS["skill_os2_review"],
REQUIRED_REPORTS["review_studio"],
REQUIRED_REPORTS["package_verification"],
REQUIRED_REPORTS["install_simulation"],
REQUIRED_REPORTS["trust"],
REQUIRED_REPORTS["context_budget"],
REQUIRED_REPORTS["benchmark"],
"scripts/ci_test.py",
],
detail="Manual 2.0 review summaries must not drift from generated gate, package, trust, context, benchmark, or CI evidence.",
)
status_counts: dict[str, int] = {"pass": 0, "warn": 0, "fail": 0}
for check in checks:
status_counts[check["status"]] = status_counts.get(check["status"], 0) + 1
summary = {
"check_count": len(checks),
"pass_count": status_counts.get("pass", 0),
"warn_count": status_counts.get("warn", 0),
"fail_count": status_counts.get("fail", 0),
"decision": "consistent" if status_counts.get("fail", 0) == 0 else "evidence-drift-detected",
}
return {
"schema_version": "1.0",
"ok": summary["fail_count"] == 0,
"generated_at": generated_at,
"skill_dir": rel_path(skill_dir, ROOT),
"summary": summary,
"status_counts": status_counts,
"checks": checks,
"artifacts": {
"json": "reports/evidence_consistency.json",
"markdown": "reports/evidence_consistency.md",
},
}
def render_markdown(report: dict[str, Any]) -> str:
summary = report["summary"]
lines = [
"# Evidence Consistency",
"",
f"Generated at: `{report['generated_at']}`",
"",
"## Summary",
"",
f"- decision: `{summary['decision']}`",
f"- checks: `{summary['check_count']}`",
f"- pass: `{summary['pass_count']}`",
f"- warn: `{summary['warn_count']}`",
f"- fail: `{summary['fail_count']}`",
"",
"This gate compares generated evidence reports against each other. It does not create provider, human, native-client, or permission-enforcement evidence; it only catches drift between reports that already exist.",
"",
"## Checks",
"",
"| Check | Status | Detail | Paths |",
"| --- | --- | --- | --- |",
]
for check in report["checks"]:
paths = ", ".join(f"`{path}`" for path in check["paths"])
lines.append(
"| "
+ " | ".join(
[
check["label"].replace("|", "\\|"),
f"`{check['status']}`",
check["detail"].replace("|", "\\|"),
paths.replace("|", "\\|"),
]
)
+ " |"
)
failures = [check for check in report["checks"] if check["status"] == "fail"]
if failures:
lines.extend(["", "## Failures", ""])
for check in failures:
lines.extend(
[
f"### {check['label']}",
"",
f"- key: `{check['key']}`",
f"- expected: `{json.dumps(check['expected'], ensure_ascii=False, sort_keys=True)}`",
f"- actual: `{json.dumps(check['actual'], ensure_ascii=False, sort_keys=True)}`",
"",
]
)
return "\n".join(lines).rstrip() + "\n"
def main() -> None:
parser = argparse.ArgumentParser(description="Render cross-report evidence consistency checks.")
parser.add_argument("skill_dir", nargs="?", default=".")
parser.add_argument("--output-json", default="reports/evidence_consistency.json")
parser.add_argument("--output-md", default="reports/evidence_consistency.md")
parser.add_argument("--generated-at", default=date.today().isoformat())
args = parser.parse_args()
skill_dir = Path(args.skill_dir).resolve()
report = build_report(skill_dir, args.generated_at)
output_json = Path(args.output_json)
output_md = Path(args.output_md)
if not output_json.is_absolute():
output_json = skill_dir / output_json
if not output_md.is_absolute():
output_md = skill_dir / output_md
output_json.parent.mkdir(parents=True, exist_ok=True)
output_md.parent.mkdir(parents=True, exist_ok=True)
output_json.write_text(json.dumps(report, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
output_md.write_text(render_markdown(report), encoding="utf-8")
print(json.dumps(report, ensure_ascii=False, indent=2))
raise SystemExit(0 if report["ok"] else 2)
if __name__ == "__main__":
main()