Skill audit report
Run both fable-review and gpt-review on the current work, then merge their findings, dedupe them, and triage which issues are real vs overthinking. Outputs one clear, concise list of actual issues for the user to approve before fixing. Use when the user says "/total-review", "total review", "review with both", or wants both Fable and GPT reviewers at once. Differentiator: runs BOTH reviewers and triages the merged findings — for a single reviewer use fable-review or gpt-review.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS86
3.8K GitHub stars
Stars/forks activity
PASS83
3.8K stars, 554 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
7d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add davidondrej/skills --skill total-review
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO76
shell or command execution
Repository evidence
PASS86
https://github.com/davidondrej/skills/tree/main/skills/agent-orchestration/total-review
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add davidondrej/skills --skill total-review
Repository
88
https://github.com/davidondrej/skills/tree/main/skills/agent-orchestration/total-review
License
86
MIT
Maintenance
100
7d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
76
shell or command execution
Stars/forks activity
83
3.8K stars, 554 forks; issue activity unavailable in current metadata
Adoption
88
3.8K 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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