Skill audit report
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
PASS100
16K GitHub stars
Stars/forks activity
PASS97
16K stars, 1.4K forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
13d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
WARN46
command execution surface, credential or environment access
Install availability
PASS92
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-review-loop-llm
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/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-review-loop-llm
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-review-loop-llm
Repository
88
https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-review-loop-llm
License
86
MIT
Maintenance
100
13d since push
AI review
55
The SKILL.md excerpt is truncated; full documentation should be verified for completeness.
README/SKILL.md completeness
84
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
97
16K stars, 1.4K forks; issue activity unavailable in current metadata
Adoption
88
16K 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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