Skill audit report
Read-only nomination brief for a named GitHub contributor on <upstream>. Aggregates GitHub activity across all contribution tracks plus maintainer-supplied off-GitHub signal, and flags vendor-neutrality context — the evidence a PMC needs to open a committer or PMC nomination thread.
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
23d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN46
command execution surface, credential or environment access
Install availability
PASS92
npx skills add apache/magpie --skill magpie-contributor-nomination
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL22
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/apache/magpie/tree/main/skills/contributor-nomination
Review status
INFO66
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-nomination
Repository
88
https://github.com/apache/magpie/tree/main/skills/contributor-nomination
License
86
Apache-2.0
Maintenance
100
23d since push
AI review
55
The SKILL.md excerpt is truncated in the provided evidence; the full file should be checked to confirm the Snapshot drift and override sections are complete and coherent.
README/SKILL.md completeness
86
Usable description available
Dependency risk
46
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
22
secrets or environment access, shell or command execution
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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