Skill audit report
The keystone of the pack. Interviews the user once and writes a shared company-profile.md that every other skill reads, so they know the user's priorities, VIPs, working hours, tone, and tools without asking again. Claude should use this skill when the user installs the pack, says "set up my skills", "onboard me", "configure the pack", "build my profile", "update my profile", or "/company-setup", or when another skill reports no profile is present.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
FAIL30
24 GitHub stars
Stars/forks activity
FAIL32
24 stars, 5 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add charlie947/life-automation-skills --skill company-setup
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/charlie947/life-automation-skills/tree/main/skills/company-setup
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add charlie947/life-automation-skills --skill company-setup
Repository
88
https://github.com/charlie947/life-automation-skills/tree/main/skills/company-setup
License
86
MIT
Maintenance
88
1mo since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
32
24 stars, 5 forks; issue activity unavailable in current metadata
Adoption
42
24 GitHub stars
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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