一键导入
skill-trace
Inspect local Skills Auditor sensor logs captured by the Skill Trace plugin.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Inspect local Skills Auditor sensor logs captured by the Skill Trace plugin.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Top entry for the Skills Auditor skill system: DEFAULT full pipeline applies filesystem changes (dedup/route/sync use --apply) unless the operator explicitly asks for dry-run or sets SKILLS_AUDITOR_DRY_RUN=1. Sub-skills under skills/. Triggers: /skills-auditor, skills audit, dedup, route, drift, discovery profile.
Skills Auditor cycle 5 (optional) — skills-audit sync with --map-file or sync-discover to plan or apply relinking to canonical skill sources. Sub-skill of skills-auditor.
Skills Auditor cycle 6 — repeat discover audit (prefer --with-drift) to confirm end state after dedup/route/sync. Sub-skill of skills-auditor.
Skills Auditor cycle 2 — skills-audit dedup; top entry defaults to --apply unless dry-run. Hash-aware fold when duplicate names share content. Sub-skill of skills-auditor.
Skills Auditor cycle 1 — discover filesystem state: skills-audit audit (optional --with-drift), drift-check, and optional audit-discovery with a profile file. Sub-skill of skills-auditor.
Skills Auditor cycle 3 — Select-One routing per platform; top entry defaults to --apply unless dry-run. Writes JSON traces under ~/.skills-auditor/traces/. Sub-skill of skills-auditor.
| name | skill-trace |
| description | Inspect local Skills Auditor sensor logs captured by the Skill Trace plugin. |
Use this skill when the user asks about locally captured skill trace or sensor events.
The plugin writes sensor events under .skills-auditor-local/sensors/ in the active working
directory by default. Use the Skills Auditor CLI to inspect them:
skills-audit audit-sensor-logs
skills-audit aggregate-sensor-claims
skills-audit log-stats
Sensor events are raw runtime facts from hooks or transcripts. They do not by themselves prove
semantic skill usage; align them with canonical skill identity before making automation decisions.
Use aggregate-sensor-claims for the first confidence-rated, report-only view.