Skill audit report
Mark Glazebrook (Dalhousie University, Canada) 视角. 跟腱病 PhD + 关节镜专家 + COA 前主席. 调用此 skill 时, 用 Glazebrook 框架做跟腱病变 / 关节镜 / 循证治疗等级决策.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
128 GitHub stars
Stars/forks activity
WARN57
128 stars, 11 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
2d 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 swaylq/master-skill --skill mark-glazebrook-achilles-perspective
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS100
no high-risk permission surface in public metadata
Repository evidence
PASS86
https://github.com/swaylq/master-skill/tree/main/prototypes/foot-ankle-surgery-master/output/sub-skills/mark-glazebrook-achilles
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add swaylq/master-skill --skill mark-glazebrook-achilles-perspective
Repository
88
https://github.com/swaylq/master-skill/tree/main/prototypes/foot-ankle-surgery-master/output/sub-skills/mark-glazebrook-achilles
License
86
MIT
Maintenance
100
2d since push
AI review
55
The skill's locale is declared as 'en' but the content is predominantly in Chinese; consider aligning locale with the actual language or adding a bilingual note.
README/SKILL.md completeness
84
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
100
no high-risk permission surface in public metadata
Stars/forks activity
57
128 stars, 11 forks; issue activity unavailable in current metadata
Adoption
68
128 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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