Skill audit report
原RedBox，现更名为Beav，小红书AI工作台自媒体素材库，AI写作+图片自动编排，小红书版OpenClaw，AI剪视频、AI剪博客、自媒体资产底座+AI工作台，支持小红书图文+评论区下载、小红书AI创作、自媒体AI创作、抖音AI创作、AI运营｜🌟 Star if you like it! ｜ 你桌面盒子里的AI小河狸🦫
OpenAgentSkill Trust Score
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
PASS86
1.2K GitHub stars
Stars/forks activity
INFO77
1.2K stars, 175 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
7d since push
License clarity
WARN42
Unknown
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 Jamailar/Beav
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/Jamailar/Beav
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add Jamailar/Beav
Repository
88
https://github.com/Jamailar/Beav
License
45
Unknown
Maintenance
100
7d 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
77
1.2K stars, 175 forks; issue activity unavailable in current metadata
Adoption
88
1.2K 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.
Compare nearby options