Skill audit report
Measures contributor-sentiment signals on <upstream> over a configurable window: thread tone (first-response classification), time-to-first-reply (median hours), first-PR retention (second-PR rate), and reviewer load (Gini coefficient). Compares each signal against a pre-adoption baseline and produces a structured gate report used to decide whether a skill family is ready to advance from experimental to stable.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
87 GitHub stars
Stars/forks activity
WARN53
87 stars, 85 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
10d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO64
command execution surface, network or browser surface
Install availability
PASS92
npx skills add apache/magpie --skill magpie-contributor-sentiment
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/apache/magpie/tree/main/skills/contributor-sentiment
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add apache/magpie --skill magpie-contributor-sentiment
Repository
88
https://github.com/apache/magpie/tree/main/skills/contributor-sentiment
License
86
Apache-2.0
Maintenance
100
10d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
64
command execution surface, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
48
shell or command execution, filesystem or document access
Stars/forks activity
53
87 stars, 85 forks; issue activity unavailable in current metadata
Adoption
68
87 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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