Skill audit report
通用 CapCut 草稿生成与 AI 视频检查 skill。用于把本地 AI 视频套用现有 CapCut 草稿模板， 生成可在 CapCut 首页显示并可编辑的新草稿；也用于提取模板样式、验证草稿结构、抽帧检查 AI 痕迹、规划修复窗口和做本地 RIFE 补帧。
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
590 GitHub stars
Stars/forks activity
INFO71
590 stars, 92 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
1mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add binggandata/bggg-skills --skill bggg-tiktok-capcut
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO76
shell or command execution
Repository evidence
PASS86
https://github.com/binggandata/bggg-skills/tree/main/bggg-tiktok-capcut
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add binggandata/bggg-skills --skill bggg-tiktok-capcut
Repository
88
https://github.com/binggandata/bggg-skills/tree/main/bggg-tiktok-capcut
License
86
MIT
Maintenance
88
1mo since push
AI review
55
Dependencies (Node.js, ffmpeg, RIFE ncnn Vulkan) are not explicitly listed in SKILL.md; users may not know what to install.
README/SKILL.md completeness
84
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
76
shell or command execution
Stars/forks activity
71
590 stars, 92 forks; issue activity unavailable in current metadata
Adoption
88
590 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.
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