Skill audit report
Use when the user asks to validate a GitHub issue with Fable 5.1, always plan it with Fable 5.1, and autonomously drive it to a reviewed PR in one shot — "fable-validate-fableplan-loop", "fable validate, fable plan, and work on #N", "fully automate #N with fable validation and an unconditional fable plan". Runs fable-validate, auto-applies its update-issue edits when the verdict calls for it, has fableplan produce and post a Fable 5.1 implementation plan for EVERY issue (no score gate — unlike fable-validate-loop, which skips planning when the score is below 71), then hands off to work-on-issue-loop — stopping instead when validation flags the issue as too large, architecturally infeasible, or already addressed by an existing PR.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
49 GitHub stars
Stars/forks activity
WARN43
49 stars, 8 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
25d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add richkuo/rk-skills --skill fable-validate-fableplan-loop
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/richkuo/rk-skills/tree/main/skills/fable-validate-fableplan-loop
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add richkuo/rk-skills --skill fable-validate-fableplan-loop
Repository
88
https://github.com/richkuo/rk-skills/tree/main/skills/fable-validate-fableplan-loop
License
86
MIT
Maintenance
100
25d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
84
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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Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
43
49 stars, 8 forks; issue activity unavailable in current metadata
Adoption
42
49 GitHub stars
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Browser automation
mediumSkill may drive a browser or interact with web pages.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.