Skill audit report
Periodic check on team dynamics, engagement signals, and development trajectory for all direct reports. Surfaces patterns across the team: who might need more challenge, who might need more support, who hasn't had a 1:1 recently. Uses two universal lenses: performance & growth, and wellbeing & connection. Outputs are prompts for reflection, not diagnoses.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
129 GitHub stars
Stars/forks activity
WARN51
129 stars, 5 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
14d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add techwolf-ai/ai-first-toolkit --skill team-health
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/techwolf-ai/ai-first-toolkit/tree/main/plugins/people-management/skills/team-health
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add techwolf-ai/ai-first-toolkit --skill team-health
Repository
88
https://github.com/techwolf-ai/ai-first-toolkit/tree/main/plugins/people-management/skills/team-health
License
86
MIT
Maintenance
100
14d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
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
100
no high-risk permission surface in public metadata
Stars/forks activity
51
129 stars, 5 forks; issue activity unavailable in current metadata
Adoption
68
129 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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