Skill audit report
Use when evaluating biology grant ideas in the Chinese funding context (NSFC, MOST, etc.) — diagnosing project legitimacy, mechanism-centered scientific questions, reviewer-aware logic, innovation discipline, feasibility, and scope control across funding levels (youth, general, key).
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
48 GitHub stars
Stars/forks activity
WARN48
48 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
6d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
command execution surface, network or browser surface
Install availability
PASS92
npx skills add Agents365-ai/365-skills --skill grant-thinking-cn-biology
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, network or browser access
Repository evidence
PASS86
https://github.com/Agents365-ai/365-skills/tree/main/plugins/grant-thinking-cn-biology/skills/grant-thinking-cn-biology
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add Agents365-ai/365-skills --skill grant-thinking-cn-biology
Repository
88
https://github.com/Agents365-ai/365-skills/tree/main/plugins/grant-thinking-cn-biology/skills/grant-thinking-cn-biology
License
86
MIT
Maintenance
100
6d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
command execution surface, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, network or browser access
Stars/forks activity
48
48 stars, 11 forks; issue activity unavailable in current metadata
Adoption
42
48 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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