Skill audit report
During-semester student support for university professors. 5-agent team covering feedback on student work (Hattie & Timperley structured, single or batch), struggling-student intervention plans, recommendation letters with bias-aware language checks, difficult student communications, office-hours preparation, and grad-student/advisee mentoring plans. Every output affects an identifiable person — drafts only, evidence-bound, professor verifies before sending. Triggers on: feedback on student work, grade comments, struggling student, recommendation letter, reference letter, student email, office hours, advising, mentoring, thesis student, difficult conversation, 学生反馈, 批改, 评语, 推荐信, 学生邮件, 答疑, 指导学生, 研究生指导, 师生沟通.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
34 GitHub stars
Stars/forks activity
WARN43
34 stars, 7 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
4d 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 YujxZJCN/teaching-skills --skill student-mentor
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/YujxZJCN/teaching-skills/tree/main/student-mentor
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add YujxZJCN/teaching-skills --skill student-mentor
Repository
88
https://github.com/YujxZJCN/teaching-skills/tree/main/student-mentor
License
86
MIT
Maintenance
100
4d 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
34 stars, 7 forks; issue activity unavailable in current metadata
Adoption
42
34 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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.