Skill audit report
Validate improvements from .turbo/improvements.md, recommend a working set tailored to what's in the backlog, and run one lane: direct fixes, investigation, or planned work. One lane per session. Use when the user asks to \"implement improvements\", \"work on improvements\", \"address improvements\", \"process improvement backlog\", \"tackle improvements\", or \"implement noted improvements\".
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
402 GitHub stars
Stars/forks activity
WARN57
402 stars, 30 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
9d 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 tobihagemann/turbo --skill implement-improvements
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/tobihagemann/turbo/tree/main/claude/skills/implement-improvements
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add tobihagemann/turbo --skill implement-improvements
Repository
88
https://github.com/tobihagemann/turbo/tree/main/claude/skills/implement-improvements
License
86
MIT
Maintenance
100
9d 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
86
filesystem or document access
Stars/forks activity
57
402 stars, 30 forks; issue activity unavailable in current metadata
Adoption
68
402 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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