Skill audit report
Specification-driven submission auditing for university professors. 4-agent team that compiles a professor's template, requirements doc, rubric, or exemplar into a checkable Submission Spec, audits student submissions (single or batch) against it with evidence-located findings, and produces per-student feedback reports plus a class-level pattern report. Works for any genre: lab reports, papers, theses, code projects, presentation decks. Triggers on: check submissions, format check, check against template, does this meet the requirements, lab report check, audit student work, compliance check, submission requirements, batch check, 检查作业, 格式检查, 格式审查, 实验报告检查, 论文格式, 检查是否符合要求, 批量检查, 提交规范.
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
1d 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 submission-auditor
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/submission-auditor
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 submission-auditor
Repository
88
https://github.com/YujxZJCN/teaching-skills/tree/main/submission-auditor
License
86
MIT
Maintenance
100
1d 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
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
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.