Skill audit report
GitHubSentinel Audit report.
GitHub Sentinel 是专为大模型（LLMs）时代打造的智能信息检索和高价值内容挖掘 AI Agent。它面向那些需要高频次、大量信息获取的用户，特别是开源爱好者、个人开发者和投资人等。GitHub Sentinel 不仅能帮助用户自动跟踪和分析 GitHub 开源项目 的最新动态，还能快速扩展到其他信息渠道，如 Hacker News 的热门话题，提供更全面的信息挖掘与分析能力。
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
364 GitHub stars
Stars/forks activity
INFO68
364 stars, 301 forks; issue activity unavailable in current metadata
Recent maintenance
INFO76
5mo since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add DjangoPeng/GitHubSentinel
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/DjangoPeng/GitHubSentinel
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add DjangoPeng/GitHubSentinel
Repository
88
https://github.com/DjangoPeng/GitHubSentinel
License
86
Apache-2.0
Maintenance
76
5mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
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
68
364 stars, 301 forks; issue activity unavailable in current metadata
Adoption
68
364 GitHub stars
Warnings
- Quality score needs review
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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