Skill audit report
For each open `<issue-tracker>` issue in the configured candidate pool, read the issue body and comments and classify the candidate disposition. On user confirmation, posts a triage-proposal comment that invites the project team to react. Read-only on tracker state — no workflow transitions, closures, or label changes. Six classes in the body.
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
FAIL38
command execution surface, credential or environment access
Install availability
PASS92
npx skills add apache/magpie --skill magpie-issue-triage
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL18
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/apache/magpie/tree/main/skills/issue-triage
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-issue-triage
Repository
88
https://github.com/apache/magpie/tree/main/skills/issue-triage
License
86
Apache-2.0
Maintenance
100
23d since push
AI review
55
SKILL.md excerpt appears truncated after 'Golden rule 4' — the full text may contain additional details that should be reviewed for completeness.
README/SKILL.md completeness
86
Usable description available
Dependency risk
38
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
18
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.
Compare nearby options
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
169K Stars · Audit report
Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.
41K Stars · Audit report
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
176K Stars · Audit report