Skill audit report
ArcReel audit report.
AI Agent 驱动的开源视频生成工作台 — 小说→角色/场景/道具设计→剧本→分镜图→视频，跨镜头角色与场景一致 | Open-source AI video workspace powered by AI Agents, Nano Banana 2 & Veo 3.1 / Grok / Seedance / OpenAI
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, dependency risk, 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
PASS86
2.6K GitHub stars
Recent maintenance
PASS100
1d since push
License clarity
PASS86
AGPL-3.0
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
INFO80
external package install surface
Install availability
PASS92
npx skills add ArcReel/ArcReel
Repository evidence
PASS86
https://github.com/ArcReel/ArcReel
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add ArcReel/ArcReel
Repository
88
https://github.com/ArcReel/ArcReel
License
86
AGPL-3.0
Maintenance
100
1d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
80
external package install surface
Adoption
88
2.6K GitHub stars
Warnings
No major warnings detected from available metadata.
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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