yaojingang
1288 lines
45 KiB
JSON
1288 lines
45 KiB
JSON
{
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"skill_summary": {
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"name": "yao-meta-skill",
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"title": "Yao Meta Skill",
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"display_name": "Yao Meta Skill",
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"description": "Create, refactor, evaluate, and package agent skills from workflows, prompts, transcripts, docs, or notes. Use when asked to create a skill, turn a repeated process into a reusable skill, improve an existing skill, add evals, or package a skill for team reuse.",
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"maturity": "governed",
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"updated_at": "2026-03-31",
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"core_value": "把一次性经验沉淀为可复用、可评估、可迁移的 Skill 包体。",
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"audience": "Skill 作者、复用团队和后续 reviewer。",
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"deliverables": [
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"SKILL.md",
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"agents/interface.yaml",
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"reports/skill-ir.json",
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"reports/compiled_targets.md",
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"reports/output_quality_scorecard.md",
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"reports/output_execution_runs.md",
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"reports/output_blind_review_pack.md",
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"reports/output_blind_answer_key.json",
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"reports/output_review_adjudication.md",
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"reports/conformance_matrix.md",
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"reports/security_trust_report.md",
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"reports/runtime_permission_probes.md",
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"reports/skill_atlas.html",
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"reports/registry_audit.md",
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"reports/package_verification.md",
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"reports/install_simulation.md",
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"reports/upgrade_check.md",
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"reports/adoption_drift_report.md",
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"reports/review_waivers.md",
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"reports/review_annotations.md",
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"reports/review-studio.html",
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"reports/skill-overview.html"
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],
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"flow": [
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"输入材料",
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"Skill 包体",
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"可复用能力"
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]
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},
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"scorecard": {
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"completeness_score": {
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"label": "完整度",
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"score": 100,
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"reasons": [
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"SKILL.md 已存在，是 Skill 的入口。",
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"README.md 已存在，便于人工阅读。",
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"agents/interface.yaml 已存在，便于跨平台适配。",
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"manifest.json 已存在，生命周期信息可追踪。",
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"reports/ 已存在，生成证据可以随包体迁移。"
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]
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},
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"trigger_score": {
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"label": "触发清晰",
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"score": 100,
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"reasons": [
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"frontmatter description 已存在，具备基础路由面。",
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"description 有足够长度说明任务边界。",
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"description 已包含使用场景或排除边界信号。",
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"evals/ 已存在，可承载触发样例或质量检查。",
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"intent-confidence 报告已生成，可辅助判断触发稳定性。"
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]
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},
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"evidence_score": {
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"label": "证据充分",
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"score": 100,
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"reasons": [
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"已生成 20 / 20 类报告证据。",
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"skill-ir.json 已存在。",
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"compiled_targets.json 已存在。",
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"intent-dialogue.json 已存在。"
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]
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},
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"maintainability_score": {
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"label": "可维护性",
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"score": 100,
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"reasons": [
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"SKILL.md 约 350 个词/字。",
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"入口文件保持克制，可维护性较好。",
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"references/ 已承载扩展指导。",
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"scripts/ 已承载确定性逻辑。",
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"evals/ 已承载可迁移检查。"
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]
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},
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"portability_score": {
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"label": "可迁移性",
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"score": 100,
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"reasons": [
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"agents/interface.yaml 已存在。",
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"manifest.json 已存在。",
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"目标平台或 adapter target 已声明。",
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"入口文件未发现明显私有绝对路径。"
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]
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},
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"context_cost": {
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"label": "上下文成本",
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"score": 42,
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"reasons": [
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"入口约 350 个词/字，references 约 14450 个词/字。",
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"分数越高代表上下文成本越低。",
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"上下文成本偏高，建议压缩入口或拆分 references。"
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]
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}
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},
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"capability_profile": {
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"archetype": "governed",
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"task_family": "Execution operation",
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"maturity": "governed",
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"trigger_strength": "手动触发 + description 路由",
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"reuse_scope": "跨平台",
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"matrix": {
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"execution_certainty": 72,
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"knowledge_density": 80
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}
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},
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"principle_model": {
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"nodes": [
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{
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"title": "意图澄清",
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"body": "Turn repeated workflows, prompts, transcripts, runbooks, documents, or existing skill packages into routeable, evaluable, packageable, and governable agent skills for personal, team, library, or governed reuse."
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},
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{
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"title": "边界路由",
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"body": "用 frontmatter description 决定是否触发，并写明相邻非目标。"
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},
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{
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"title": "资产分层",
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"body": "把入口、参考、脚本、评估和报告拆到各自目录，避免 SKILL.md 膨胀。"
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},
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{
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"title": "证据回路",
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"body": "Ask only the highest-leverage clarification before adding package weight."
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},
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{
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"title": "漂移观察",
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"body": "Add near-neighbor exclusions and route evals before expanding workflow steps."
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},
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{
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"title": "杠杆升级",
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"body": "Name the recurring job, expected input, output, and strongest non-goal in compact language."
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}
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],
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"layers": [
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"入口层",
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"参考层",
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"脚本层",
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"评估层",
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"报告层"
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]
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},
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"contract_boundary": {
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"trigger": {
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"description": "Create, refactor, evaluate, and package agent skills from workflows, prompts, transcripts, docs, or notes. Use when asked to create a skill, turn a repeated process into a reusable skill, improve an existing skill, add evals, or package a skill for team reuse.",
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"activation": "manual",
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"execution": "inline",
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"shell": "bash"
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},
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"inputs": [
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"rough workflow notes, SOPs, runbooks, prompts, transcripts, documents, or repeated task descriptions",
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"an existing skill directory that needs refactor, evaluation, packaging, or governance hardening",
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"target platform requirements such as OpenAI, Claude, generic Agent Skills, or team distribution",
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"benchmark references, local constraints, desired maturity tier, and review standards"
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],
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"outputs": [
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"A working skill package with lean SKILL.md, aligned agents/interface.yaml, justified references, scripts only when useful, eval evidence, reports, packaging metadata, and clear next iteration recommendations.",
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"结构化 Skill 目录，共 8 类关键资产。"
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],
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"should_trigger": [
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"把重复流程沉淀为可复用的 agent skill。",
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"把分散提示词、对话记录或操作规范整理为稳定能力。",
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"团队复用前，需要明确触发边界、质量证据和维护责任。"
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],
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"should_not_trigger": [
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"只需要一次性回答、没有复用价值的临时请求。",
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"要求直接执行相邻任务，而不是沉淀或使用这个 Skill。",
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"缺少必要事实且用户不允许澄清的场景。"
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],
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"boundary_cards": [
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{
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"label": "Owned",
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"body": "Create, refactor, evaluate, and package agent skills from workflows, prompts, transcripts, docs, or notes. Use when asked to create a skill, turn a repeated process into a reusable skill, improve an existing skill, add evals, or package a skill for team reuse."
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},
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{
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"label": "Adjacent",
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"body": "相邻任务需要先确认是否应转为独立 Skill。"
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},
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{
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"label": "Excluded",
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"body": "不替代人工事实核查，也不静默扩大职责。"
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}
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]
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},
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"quality_review": {
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"strengths": [
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"触发面保持精简，并锚定在 frontmatter description。",
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"已生成 Skill IR，核心语义可先于平台打包被审查和迁移。",
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"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。",
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"已生成 Output Eval Lab scorecard，可比较 with-skill 与 baseline 输出质量。",
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"已生成 Output Execution Runs，可区分记录样本、命令执行和模型执行证据。",
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"已生成 Output Review Adjudication，可记录盲评决策、一致率和待评审项。"
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],
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"gaps": [
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"上下文成本需要补强：入口约 350 个词/字，references 约 14450 个词/字。"
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],
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"recommendations": [
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"先改触发边界，再扩展工作流。",
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"只把重复且稳定的步骤沉淀为脚本。",
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"每次升级后重新生成报告并检查分数原因。"
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],
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"artifact_design": {
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"design_system": "metric editorial",
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"highlights": [
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"Execution-focused technical artifact with environment assumptions, copyable commands, expected outputs, and side effects made explicit.",
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"Name the working directory and required inputs for commands.",
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"Mark destructive, networked, or external side-effect operations.",
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"Prefer the smallest runnable snippet over broad framework scaffolding."
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]
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},
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"prompt_quality": {
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"overall_quality_score": 89.0,
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"highlights": [
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"Primary prompt task family: Execution operation.",
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"Complexity: expert — multiple task families plus governance, evaluation, or expert-level constraints",
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"Completeness: 100/100.",
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"Clarity: 85/100."
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]
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},
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"system_model": {
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"stability": {
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"score": 100,
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"band": "system-ready"
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},
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"highlights": [
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"Stability: system-ready (100/100).",
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"Owned job: Turn repeated workflows, prompts, transcripts, runbooks, documents, or existing skill packages into routeable, evaluable, packageable, and governable agent skills for personal, team, library, or governed reuse.",
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"Leverage: Tune the frontmatter description — Name the recurring job, expected input, output, and strongest non-goal in compact language.",
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"Leverage: Install output self-repair checks — Add only the checks that prevent recurring output mistakes."
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]
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}
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},
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"risk_governance": {
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"risks": [
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{
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"name": "误触发风险",
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"impact": 3,
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"probability": 1,
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"signal": "frontmatter description 已存在，具备基础路由面。",
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"response": "先补证据和边界，再增加包体复杂度。"
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},
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{
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"name": "输出漂移风险",
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"impact": 2,
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"probability": 1,
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"signal": "已生成 20 / 20 类报告证据。",
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"response": "先补证据和边界，再增加包体复杂度。"
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},
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{
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"name": "证据不足风险",
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"impact": 3,
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"probability": 1,
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"signal": "已生成 20 / 20 类报告证据。",
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"response": "先补证据和边界，再增加包体复杂度。"
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},
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{
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"name": "包体膨胀风险",
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"impact": 2,
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"probability": 1,
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"signal": "SKILL.md 约 350 个词/字。",
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"response": "先补证据和边界，再增加包体复杂度。"
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},
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{
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"name": "跨平台迁移风险",
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"impact": 3,
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"probability": 1,
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"signal": "agents/interface.yaml 已存在。",
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"response": "先补证据和边界，再增加包体复杂度。"
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}
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],
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"risk_families": [
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{
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"key": "markdown_readability",
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"label": "Markdown readability",
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"matched_keywords": [
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"md",
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"report",
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"doc"
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],
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"score": 3,
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"risks": [
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"Tables can render as dense grids with weak hierarchy or poor mobile readability.",
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"Long bullets can make the output look complete while hiding the actual decision logic.",
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"Mixed heading levels can reduce scanability."
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],
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"constraints": [
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"Use tables only when comparison is the main job; otherwise prefer compact cards or grouped bullets.",
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"Keep table cells short and move explanations below the table.",
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"Use heading levels consistently and keep each section anchored to a user-facing outcome."
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],
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"self_repair": [
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"Preview whether each table still reads well when columns are narrow.",
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"Convert any table with paragraph-length cells into bullets or cards."
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]
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},
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{
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"key": "citation_clutter",
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"label": "Citation and footnote clutter",
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"matched_keywords": [
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"source",
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"reference"
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],
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"score": 2,
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"risks": [
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"Footnote markers or dense citation notes can interrupt the reading flow.",
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"Evidence can be over-attached to obvious statements and under-attached to risky claims.",
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"Source notes may become more prominent than the tutorial itself."
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],
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"constraints": [
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"Attach citations only to claims that need evidence, not to every sentence.",
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"Group source notes at the end of a section when inline markers would hurt readability.",
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"Keep the main sentence readable without requiring the reader to chase a footnote."
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],
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"self_repair": [
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"Remove decorative citations that do not support a material claim.",
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"Move repeated source explanations into one compact source note."
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]
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},
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{
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"key": "visual_capture",
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"label": "Screenshot and visual capture",
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"matched_keywords": [
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"capture"
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],
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"score": 1,
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"risks": [
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"Screenshots can be captured from the wrong state, wrong viewport, or wrong crop.",
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"Missing screenshots can cause the skill to invent visual references instead of declaring the gap.",
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"Image descriptions can omit the action-relevant region."
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],
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"constraints": [
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"Never invent a screenshot; state when visual evidence is missing.",
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"Record the source, viewport, and crop intent for any screenshot-dependent output.",
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"Describe what the reader should inspect in the image, not just that an image exists."
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],
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"self_repair": [
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"Check that every screenshot reference points to a real provided or generated asset.",
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"Reword any visual instruction that depends on an unseen screen state."
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]
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},
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{
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"key": "code_or_command_safety",
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"label": "Code and command safety",
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"matched_keywords": [
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"script"
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],
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"score": 1,
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"risks": [
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"Commands can omit environment assumptions, working directory, or rollback notes.",
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"Code snippets can look runnable while missing required inputs.",
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"Error handling can be either absent or over-engineered."
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],
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"constraints": [
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"Name the working directory, required inputs, and expected output for each command.",
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"Mark destructive or external side-effect operations explicitly.",
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"Prefer the smallest runnable snippet over broad framework code."
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],
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"self_repair": [
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"Scan each command for cwd, input, output, and side-effect assumptions.",
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"Remove speculative error handling that is not tied to a real failure mode."
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]
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},
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{
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"key": "tone_and_specificity",
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"label": "Tone and specificity",
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"matched_keywords": [
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"summary"
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],
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"score": 1,
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"risks": [
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"Headings and summaries can drift into generic, interchangeable language.",
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"The output can sound polished but lose the user's actual taste, audience, or scenario.",
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"Strong claims can appear without examples or constraints."
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],
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"constraints": [
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"Anchor titles and summaries in the user's audience, object, and concrete outcome.",
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"Avoid placeholder phrases such as comprehensive guide, ultimate solution, or key insights unless the source demands them.",
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"Preserve one distinctive phrase, constraint, or standard from the user's input."
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],
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"self_repair": [
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"Replace generic title candidates with scenario-specific alternatives.",
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"Delete any polished sentence that could fit almost any project unchanged."
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]
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}
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],
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"human_judgment_boundary": [
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"Ask one focused clarification when the real job, output, or exclusion boundary is unclear.",
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"Escalate visible tradeoffs when benchmark patterns conflict with local privacy, naming, or governance constraints.",
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"Do not silently broaden the skill into adjacent jobs just because the examples are nearby."
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]
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},
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"package_assets": {
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"entries": [
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{
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"path": "SKILL.md",
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"label": "Skill entrypoint",
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|
"kind": "file",
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|
"file_count": 1
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},
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{
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"path": "README.md",
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"label": "Human-readable usage guide",
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|
"kind": "file",
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"file_count": 1
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},
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{
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"path": "agents/interface.yaml",
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"label": "Neutral interface metadata",
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"kind": "file",
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"file_count": 1
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},
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{
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"path": "manifest.json",
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"label": "Lifecycle and portability metadata",
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|
"kind": "file",
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|
"file_count": 1
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},
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{
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"path": "references",
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"label": "Extended guidance and reusable notes",
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"kind": "folder",
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|
"file_count": 32
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},
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{
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"path": "scripts",
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"label": "Deterministic helpers or local tooling",
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|
"kind": "folder",
|
|
"file_count": 69
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},
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{
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|
"path": "evals",
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|
"label": "Trigger and quality checks",
|
|
"kind": "folder",
|
|
"file_count": 28
|
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},
|
|
{
|
|
"path": "reports",
|
|
"label": "Generated evidence and overview artifacts",
|
|
"kind": "folder",
|
|
"file_count": 171
|
|
}
|
|
],
|
|
"file_count": 304,
|
|
"folder_count": 4,
|
|
"distribution": [
|
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{
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"label": "SKILL.md",
|
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"value": 1
|
|
},
|
|
{
|
|
"label": "README.md",
|
|
"value": 1
|
|
},
|
|
{
|
|
"label": "agents/interface.yaml",
|
|
"value": 1
|
|
},
|
|
{
|
|
"label": "manifest.json",
|
|
"value": 1
|
|
},
|
|
{
|
|
"label": "references",
|
|
"value": 32
|
|
},
|
|
{
|
|
"label": "scripts",
|
|
"value": 69
|
|
},
|
|
{
|
|
"label": "evals",
|
|
"value": 28
|
|
},
|
|
{
|
|
"label": "reports",
|
|
"value": 171
|
|
}
|
|
]
|
|
},
|
|
"iteration_roadmap": {
|
|
"items": [
|
|
{
|
|
"title": "Borrow one proven pattern on purpose",
|
|
"why": "You already have public benchmark objects. The next gain is to choose one pattern intentionally instead of absorbing everything loosely.",
|
|
"actions": [
|
|
"Read the strongest pattern from obra/superpowers.",
|
|
"Decide whether to borrow method, structure, execution, or portability, but only one of them first.",
|
|
"Record what you will not borrow so the package stays light."
|
|
],
|
|
"unlocks": "A cleaner package shape with less accidental over-design."
|
|
},
|
|
{
|
|
"title": "Harden portability semantics",
|
|
"why": "The skill already signals reuse across environments, so contract clarity matters early.",
|
|
"actions": [
|
|
"Confirm activation mode, execution context, and trust assumptions.",
|
|
"Add or review degradation strategy for non-native targets.",
|
|
"Package the skill once to verify adapter expectations."
|
|
],
|
|
"unlocks": "Safer cross-environment reuse with less target drift."
|
|
},
|
|
{
|
|
"title": "Create an iteration evidence loop",
|
|
"why": "The package should show what changed and why after the first draft.",
|
|
"actions": [
|
|
"Generate the HTML skill report and keep it aligned with the package.",
|
|
"Record reference scan choices and non-goals.",
|
|
"Capture the next iteration choice explicitly before adding more files."
|
|
],
|
|
"unlocks": "A clearer path for the next author or reviewer."
|
|
}
|
|
]
|
|
},
|
|
"report_contract": {
|
|
"schema_version": "2.0",
|
|
"html_report": "reports/skill-overview.html",
|
|
"language": "zh-CN",
|
|
"default_language": "zh-CN",
|
|
"languages": [
|
|
"zh-CN",
|
|
"en"
|
|
],
|
|
"layout": "kami-white-audit-v2",
|
|
"nav_labels": [
|
|
"技能概述",
|
|
"总览指标",
|
|
"能力画像",
|
|
"原理结构",
|
|
"契约边界",
|
|
"质量评估",
|
|
"风险治理",
|
|
"包体资产",
|
|
"迭代路线"
|
|
],
|
|
"nav_labels_en": [
|
|
"Overview",
|
|
"Metrics",
|
|
"Profile",
|
|
"Principle",
|
|
"Contract",
|
|
"Quality",
|
|
"Risk",
|
|
"Assets",
|
|
"Roadmap"
|
|
]
|
|
},
|
|
"name": "yao-meta-skill",
|
|
"title": "Yao Meta Skill",
|
|
"display_name": "Yao Meta Skill",
|
|
"description": "Create, refactor, evaluate, and package agent skills from workflows, prompts, transcripts, docs, or notes. Use when asked to create a skill, turn a repeated process into a reusable skill, improve an existing skill, add evals, or package a skill for team reuse.",
|
|
"logic_steps": [
|
|
"Decide whether the request should become a skill and choose the lightest fit.",
|
|
"Capture job, output, exclusions, constraints, and standards.",
|
|
"Run reference scan: external benchmarks first, user references second, local fit third; surface only uncertainty or conflict.",
|
|
"Write the `description` early and test route quality before expanding the package.",
|
|
"Add output-risk, artifact-design, prompt-quality, and system-model reports only when they matter."
|
|
],
|
|
"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.",
|
|
"Use this skill when the request matches: Create, refactor, evaluate, and package agent skills from workflows, prompts, transcripts, docs, or notes. Use when asked to create a skill, turn a repeated process into a reusable skill, improve an existing skill, add evals, or package a skill for team reuse."
|
|
],
|
|
"package_map": [
|
|
{
|
|
"path": "SKILL.md",
|
|
"label": "Skill entrypoint",
|
|
"kind": "file",
|
|
"file_count": 1
|
|
},
|
|
{
|
|
"path": "README.md",
|
|
"label": "Human-readable usage guide",
|
|
"kind": "file",
|
|
"file_count": 1
|
|
},
|
|
{
|
|
"path": "agents/interface.yaml",
|
|
"label": "Neutral interface metadata",
|
|
"kind": "file",
|
|
"file_count": 1
|
|
},
|
|
{
|
|
"path": "manifest.json",
|
|
"label": "Lifecycle and portability metadata",
|
|
"kind": "file",
|
|
"file_count": 1
|
|
},
|
|
{
|
|
"path": "references",
|
|
"label": "Extended guidance and reusable notes",
|
|
"kind": "folder",
|
|
"file_count": 32
|
|
},
|
|
{
|
|
"path": "scripts",
|
|
"label": "Deterministic helpers or local tooling",
|
|
"kind": "folder",
|
|
"file_count": 69
|
|
},
|
|
{
|
|
"path": "evals",
|
|
"label": "Trigger and quality checks",
|
|
"kind": "folder",
|
|
"file_count": 28
|
|
},
|
|
{
|
|
"path": "reports",
|
|
"label": "Generated evidence and overview artifacts",
|
|
"kind": "folder",
|
|
"file_count": 171
|
|
}
|
|
],
|
|
"strengths": [
|
|
"触发面保持精简，并锚定在 frontmatter description。",
|
|
"已生成 Skill IR，核心语义可先于平台打包被审查和迁移。",
|
|
"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。",
|
|
"已生成 Output Eval Lab scorecard，可比较 with-skill 与 baseline 输出质量。",
|
|
"已生成 Output Execution Runs，可区分记录样本、命令执行和模型执行证据。",
|
|
"已生成 Output Review Adjudication，可记录盲评决策、一致率和待评审项。"
|
|
],
|
|
"scenarios": [
|
|
"把重复流程沉淀为可复用的 agent skill。",
|
|
"把分散提示词、对话记录或操作规范整理为稳定能力。",
|
|
"团队复用前，需要明确触发边界、质量证据和维护责任。",
|
|
"用户说出类似需求时：Use $yao-meta-skill to turn my workflow or notes into a reusable skill with lean structure, clear triggering, and the right evals."
|
|
],
|
|
"trigger_contract": {
|
|
"description": "Create, refactor, evaluate, and package agent skills from workflows, prompts, transcripts, docs, or notes. Use when asked to create a skill, turn a repeated process into a reusable skill, improve an existing skill, add evals, or package a skill for team reuse.",
|
|
"activation": "manual",
|
|
"execution": "inline",
|
|
"shell": "bash"
|
|
},
|
|
"io_contract": {
|
|
"inputs": [
|
|
"rough workflow notes, SOPs, runbooks, prompts, transcripts, documents, or repeated task descriptions",
|
|
"an existing skill directory that needs refactor, evaluation, packaging, or governance hardening",
|
|
"target platform requirements such as OpenAI, Claude, generic Agent Skills, or team distribution",
|
|
"benchmark references, local constraints, desired maturity tier, and review standards"
|
|
],
|
|
"outputs": [
|
|
"A working skill package with lean SKILL.md, aligned agents/interface.yaml, justified references, scripts only when useful, eval evidence, reports, packaging metadata, and clear next iteration recommendations.",
|
|
"结构化 Skill 目录，共 8 类关键资产。"
|
|
]
|
|
},
|
|
"principles": [
|
|
{
|
|
"title": "意图澄清",
|
|
"body": "Turn repeated workflows, prompts, transcripts, runbooks, documents, or existing skill packages into routeable, evaluable, packageable, and governable agent skills for personal, team, library, or governed reuse."
|
|
},
|
|
{
|
|
"title": "边界路由",
|
|
"body": "用 frontmatter description 决定是否触发，并写明相邻非目标。"
|
|
},
|
|
{
|
|
"title": "资产分层",
|
|
"body": "把入口、参考、脚本、评估和报告拆到各自目录，避免 SKILL.md 膨胀。"
|
|
},
|
|
{
|
|
"title": "证据回路",
|
|
"body": "Ask only the highest-leverage clarification before adding package weight."
|
|
},
|
|
{
|
|
"title": "漂移观察",
|
|
"body": "Add near-neighbor exclusions and route evals before expanding workflow steps."
|
|
},
|
|
{
|
|
"title": "杠杆升级",
|
|
"body": "Name the recurring job, expected input, output, and strongest non-goal in compact language."
|
|
}
|
|
],
|
|
"roadmap": [
|
|
{
|
|
"title": "Borrow one proven pattern on purpose",
|
|
"why": "You already have public benchmark objects. The next gain is to choose one pattern intentionally instead of absorbing everything loosely.",
|
|
"actions": [
|
|
"Read the strongest pattern from obra/superpowers.",
|
|
"Decide whether to borrow method, structure, execution, or portability, but only one of them first.",
|
|
"Record what you will not borrow so the package stays light."
|
|
],
|
|
"unlocks": "A cleaner package shape with less accidental over-design."
|
|
},
|
|
{
|
|
"title": "Harden portability semantics",
|
|
"why": "The skill already signals reuse across environments, so contract clarity matters early.",
|
|
"actions": [
|
|
"Confirm activation mode, execution context, and trust assumptions.",
|
|
"Add or review degradation strategy for non-native targets.",
|
|
"Package the skill once to verify adapter expectations."
|
|
],
|
|
"unlocks": "Safer cross-environment reuse with less target drift."
|
|
},
|
|
{
|
|
"title": "Create an iteration evidence loop",
|
|
"why": "The package should show what changed and why after the first draft.",
|
|
"actions": [
|
|
"Generate the HTML skill report and keep it aligned with the package.",
|
|
"Record reference scan choices and non-goals.",
|
|
"Capture the next iteration choice explicitly before adding more files."
|
|
],
|
|
"unlocks": "A clearer path for the next author or reviewer."
|
|
}
|
|
],
|
|
"cards": [],
|
|
"introduction": [
|
|
"这份报告用于快速理解新生成 Skill 的定位、原理、触发边界和交付内容。",
|
|
"先确认重复任务、真实输入形态和可交付输出，再决定是否继续加 references、scripts 或 evals。",
|
|
"如果需求仍然模糊，优先回到 intent dialogue 收紧边界，再扩展包体结构。"
|
|
],
|
|
"benchmark_highlights": [],
|
|
"skill_ir": {
|
|
"schema_version": "2.0.0",
|
|
"target_count": 5,
|
|
"trigger_samples": 8,
|
|
"output_eval_cases": 3
|
|
},
|
|
"compiled_targets": {
|
|
"ok": true,
|
|
"schema_version": "1.0",
|
|
"summary": {
|
|
"target_count": 5,
|
|
"pass_count": 5,
|
|
"warn_count": 0,
|
|
"block_count": 0,
|
|
"failure_count": 0,
|
|
"warning_count": 0
|
|
},
|
|
"targets": [
|
|
{
|
|
"target": "openai",
|
|
"status": "pass",
|
|
"adapter_mode": "metadata-adapter",
|
|
"degradation_strategy": "metadata-adapter",
|
|
"native_surface": "OpenAI-style interface metadata plus neutral Agent Skills source",
|
|
"permission_enforcement": "metadata-only",
|
|
"generated_files": [
|
|
"targets/openai/adapter.json",
|
|
"targets/openai/agents/openai.yaml"
|
|
],
|
|
"unsupported_features": [
|
|
"client-native script permission prompts are represented as permission contract metadata"
|
|
],
|
|
"warnings": []
|
|
},
|
|
{
|
|
"target": "claude",
|
|
"status": "pass",
|
|
"adapter_mode": "neutral-source-plus-adapter",
|
|
"degradation_strategy": "neutral-source-plus-adapter",
|
|
"native_surface": "Claude-compatible neutral source folder with adapter notes",
|
|
"permission_enforcement": "metadata-fallback",
|
|
"generated_files": [
|
|
"targets/claude/adapter.json",
|
|
"targets/claude/README.md"
|
|
],
|
|
"unsupported_features": [
|
|
"vendor-native metadata fields are carried as adapter JSON and README notes"
|
|
],
|
|
"warnings": []
|
|
},
|
|
{
|
|
"target": "generic",
|
|
"status": "pass",
|
|
"adapter_mode": "agent-skills-compatible",
|
|
"degradation_strategy": "neutral-source",
|
|
"native_surface": "Agent Skills compatible neutral package",
|
|
"permission_enforcement": "consumer-enforced-or-metadata-only",
|
|
"generated_files": [
|
|
"targets/generic/adapter.json"
|
|
],
|
|
"unsupported_features": [],
|
|
"warnings": []
|
|
},
|
|
{
|
|
"target": "agent-skills-compatible",
|
|
"status": "pass",
|
|
"adapter_mode": "neutral-agent-skills-source",
|
|
"degradation_strategy": "neutral-source",
|
|
"native_surface": "Agent Skills standard source tree",
|
|
"permission_enforcement": "consumer-enforced-or-metadata-only",
|
|
"generated_files": [
|
|
"SKILL.md",
|
|
"agents/interface.yaml"
|
|
],
|
|
"unsupported_features": [],
|
|
"warnings": []
|
|
},
|
|
{
|
|
"target": "vscode",
|
|
"status": "pass",
|
|
"adapter_mode": "vscode-agent-skills-adapter",
|
|
"degradation_strategy": "agent-skills-source-with-vscode-notes",
|
|
"native_surface": "VS Code/Copilot Agent Skills project or user scope",
|
|
"permission_enforcement": "client-or-workspace-trust",
|
|
"generated_files": [
|
|
"targets/vscode/adapter.json",
|
|
"targets/vscode/README.md"
|
|
],
|
|
"unsupported_features": [
|
|
"VS Code installation scope is documented but not installed by this compiler"
|
|
],
|
|
"warnings": []
|
|
}
|
|
],
|
|
"failures": [],
|
|
"warnings": []
|
|
},
|
|
"output_quality": {
|
|
"case_count": 5,
|
|
"file_backed_case_count": 1,
|
|
"near_neighbor_case_count": 1,
|
|
"boundary_case_count": 1,
|
|
"baseline_pass_rate": 0.0,
|
|
"with_skill_pass_rate": 100.0,
|
|
"delta": 100.0,
|
|
"regression_count": 0,
|
|
"gate_pass": true,
|
|
"failure_taxonomy": [],
|
|
"blind_pair_count": 5
|
|
},
|
|
"output_execution": {
|
|
"ok": true,
|
|
"summary": {
|
|
"case_count": 5,
|
|
"variant_run_count": 10,
|
|
"command_executed_count": 10,
|
|
"model_executed_count": 0,
|
|
"recorded_fixture_count": 0,
|
|
"timing_observed_count": 10,
|
|
"token_observed_count": 0,
|
|
"token_estimated_count": 10,
|
|
"baseline_pass_rate": 0.0,
|
|
"with_skill_pass_rate": 100.0,
|
|
"delta": 100.0,
|
|
"regression_count": 0,
|
|
"failure_count": 0,
|
|
"gate_pass": true
|
|
},
|
|
"runner": {
|
|
"mode": "command",
|
|
"command": [
|
|
"python3",
|
|
"scripts/local_output_eval_runner.py"
|
|
],
|
|
"timeout_seconds": 30.0
|
|
},
|
|
"failures": []
|
|
},
|
|
"output_blind_review": {
|
|
"summary": {
|
|
"pair_count": 5,
|
|
"answer_key_separate": true,
|
|
"with_skill_hidden_count": 5
|
|
},
|
|
"seed": "yao-output-eval-blind-v1",
|
|
"pair_count": 5,
|
|
"answer_key_separate": true
|
|
},
|
|
"output_review_adjudication": {
|
|
"ok": true,
|
|
"summary": {
|
|
"pair_count": 5,
|
|
"judgment_count": 0,
|
|
"pending_count": 5,
|
|
"agreement_count": 0,
|
|
"disagreement_count": 0,
|
|
"invalid_decision_count": 0,
|
|
"agreement_rate": null,
|
|
"needs_review": true,
|
|
"failure_count": 0
|
|
},
|
|
"reviewer": "",
|
|
"reviewed_at": "",
|
|
"failures": []
|
|
},
|
|
"runtime_conformance": {
|
|
"target_count": 5,
|
|
"pass_count": 5,
|
|
"fail_count": 0
|
|
},
|
|
"runtime_permissions": {
|
|
"ok": true,
|
|
"summary": {
|
|
"target_count": 4,
|
|
"pass_count": 4,
|
|
"fail_count": 0,
|
|
"native_enforcement_count": 0,
|
|
"metadata_fallback_count": 4,
|
|
"residual_risk_count": 4,
|
|
"required_capability_count": 3,
|
|
"failure_count": 0
|
|
},
|
|
"expected_capabilities": [
|
|
"file_write",
|
|
"network",
|
|
"subprocess"
|
|
],
|
|
"targets": [
|
|
{
|
|
"target": "openai",
|
|
"status": "pass",
|
|
"assurance": "metadata-fallback-explicit",
|
|
"native_enforcement": false,
|
|
"metadata_fallback_explicit": true,
|
|
"residual_risks": [
|
|
"Client-native permission enforcement is not provided by this target; installer or operator must honor metadata."
|
|
]
|
|
},
|
|
{
|
|
"target": "claude",
|
|
"status": "pass",
|
|
"assurance": "metadata-fallback-explicit",
|
|
"native_enforcement": false,
|
|
"metadata_fallback_explicit": true,
|
|
"residual_risks": [
|
|
"Client-native permission enforcement is not provided by this target; installer or operator must honor metadata."
|
|
]
|
|
},
|
|
{
|
|
"target": "generic",
|
|
"status": "pass",
|
|
"assurance": "metadata-fallback-explicit",
|
|
"native_enforcement": false,
|
|
"metadata_fallback_explicit": true,
|
|
"residual_risks": [
|
|
"Client-native permission enforcement is not provided by this target; installer or operator must honor metadata."
|
|
]
|
|
},
|
|
{
|
|
"target": "vscode",
|
|
"status": "pass",
|
|
"assurance": "metadata-fallback-explicit",
|
|
"native_enforcement": false,
|
|
"metadata_fallback_explicit": true,
|
|
"residual_risks": [
|
|
"Client-native permission enforcement is not provided by this target; installer or operator must honor metadata."
|
|
]
|
|
}
|
|
],
|
|
"failures": []
|
|
},
|
|
"trust_security": {
|
|
"scanned_files": 153,
|
|
"script_count": 69,
|
|
"internal_module_count": 9,
|
|
"secret_findings": 0,
|
|
"dependency_files": [
|
|
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"synthesis_highlights": [
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"Borrow progressive disclosure: keep the entrypoint lean and move depth into references or scripts.",
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"Borrow a review checkpoint wherever trust matters more than raw speed.",
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"Borrow the discipline of defining what the skill should not own before growing the package."
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],
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"Name the working directory and required inputs for commands.",
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"Mark destructive, networked, or external side-effect operations.",
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"Prefer the smallest runnable snippet over broad framework scaffolding."
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]
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},
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"Primary prompt task family: Execution operation.",
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"Complexity: expert — multiple task families plus governance, evaluation, or expert-level constraints",
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"Completeness: 100/100.",
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"Clarity: 85/100."
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]
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},
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},
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"highlights": [
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"Stability: system-ready (100/100).",
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|
"Owned job: Turn repeated workflows, prompts, transcripts, runbooks, documents, or existing skill packages into routeable, evaluable, packageable, and governable agent skills for personal, team, library, or governed reuse.",
|
|
"Leverage: Tune the frontmatter description — Name the recurring job, expected input, output, and strongest non-goal in compact language.",
|
|
"Leverage: Install output self-repair checks — Add only the checks that prevent recurring output mistakes."
|
|
]
|
|
},
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"metadata": {
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"canonical_format": "agent-skills",
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"targets": [
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"openai",
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"claude",
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"generic",
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"vscode"
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"updated_at": "2026-03-31"
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}
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} |