Skill audit report
Use when designing, debugging, training, researching, or evaluating an AI agent and the decision concerns one of seven areas: minimum agent loop, inference-time compute allocation, verifier or LLM-judge trust, long-horizon dependency and rollback control, verified-trajectory post-training, evidence-gap research, or production-readiness evaluation. Trigger on phrases such as "agent architecture", "test-time scaling", "verifier", "judge audit", "rollback", "SFT or RL", "deep research", and "production ready". Do not use for generic AI explanations, model-news lookup, or ordinary software tasks with no agent-control decision.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
25 GitHub stars
Stars/forks activity
WARN43
25 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo 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 yusenthebot/stanford-ai-agent-skill --skill stanford-ai-agent-skill
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/yusenthebot/stanford-ai-agent-skill/tree/main/skill
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add yusenthebot/stanford-ai-agent-skill --skill stanford-ai-agent-skill
Repository
88
https://github.com/yusenthebot/stanford-ai-agent-skill/tree/main/skill
License
86
MIT
Maintenance
88
2mo 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
25 stars, 3 forks; issue activity unavailable in current metadata
Adoption
42
25 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.
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.