Skill audit report
Headless follow-up to /speq-plan-pr. Continues a plan on its feat/plan-name branch and runs it end-to-end: implements via /speq-implement, bumps the version, commits and pushes, runs the real test suites, records only if green, then opens/updates the PR and marks it ready. Resumes from the PR Lifecycle checkpoint in the plan's tasks.md if a prior run was cut off mid-flight. Arg: plan name, PR number, or branch name.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
50 GitHub stars
Stars/forks activity
WARN43
50 stars, 9 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
28d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add marconae/speq-skill --skill speq-implement-pr
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN50
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/marconae/speq-skill/tree/main/.claude/skills/speq-implement-pr
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add marconae/speq-skill --skill speq-implement-pr
Repository
88
https://github.com/marconae/speq-skill/tree/main/.claude/skills/speq-implement-pr
License
86
MIT
Maintenance
100
28d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
50
shell or command execution, filesystem or document access
Stars/forks activity
43
50 stars, 9 forks; issue activity unavailable in current metadata
Adoption
68
50 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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