Skill audit report
Agent Hub audit report.
This repository is a hub for AI Agent projects, including GitHub Sentinel, LanguageMentor, and ChatPPT, designed to enhance enterprise workflows, language learning, and multimodal interaction. Explore a growing family of agents geared towards revolutionizing various industries with cutting-edge AI solutions.
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, install safety, permission surface, and installability.
The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
339 GitHub stars
Stars/forks activity
INFO62
339 stars, 212 forks; issue activity unavailable in current metadata
Recent maintenance
FAIL38
2y since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add DjangoPeng/agent-hub
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/DjangoPeng/agent-hub
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add DjangoPeng/agent-hub
Repository
88
https://github.com/DjangoPeng/agent-hub
License
86
Apache-2.0
Maintenance
38
2y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, filesystem or document access
Stars/forks activity
62
339 stars, 212 forks; issue activity unavailable in current metadata
Adoption
68
339 GitHub stars
Warnings
- Repository appears stale
- Repository looks stale
- Quality score needs review
- Recent maintenance: 2y since push
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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