Skill audit report
Mine the user's Claude Code + Cowork session history into a structured task profile, what they do with AI, how often, how successfully where friction lives, then propose atomic skills that would reduce iteration. Use when the user asks to "analyse my Claude use", "build a task profile", "what tasks do I do with Claude", "where am I spending tokens", "what skills would help me", or mentions reviewing past sessions for patterns. Produces profile.csv (shareable), explorer.html (personal coaching view with AI-first principle comparison + token-spend chart), and skill-proposals.md.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
98 GitHub stars
Stars/forks activity
WARN43
98 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN54
command execution surface, credential or environment access
Install availability
PASS92
npx skills add techwolf-ai/ai-first-toolkit --skill task-profile
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL18
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/techwolf-ai/ai-first-toolkit/tree/main/plugins/ai-adoption/skills/task-profile
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add techwolf-ai/ai-first-toolkit --skill task-profile
Repository
88
https://github.com/techwolf-ai/ai-first-toolkit/tree/main/plugins/ai-adoption/skills/task-profile
License
86
MIT
Maintenance
88
2mo since push
AI review
55
No critical security issues found. The skill reads local session history and applies redaction rules to protect sensitive data before dispatching to subagents or writing outputs.
README/SKILL.md completeness
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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Dependency risk
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command execution surface, credential or environment access
Install command safety
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Permission surface
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secrets or environment access, shell or command execution
Stars/forks activity
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Adoption
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