No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by wocha-xiaoli · Codex Skill · ★ 36
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is video-shot-analysis-feishu safe to install? View the security audit →
视频拉片到飞书 Base：自动抽帧、逐镜头分析、倒推分镜与视频生成提示词的 Codex/OpenCode skill
| Stars | 36 |
| Forks | 5 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63.4460172408078/100 |
| Last Updated | 2026-04-25 |
| Created | 2026-04-25 |
| Platforms | cli, codex, python |
| Est. Tokens | ~14k |
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video-shot-analysis-feishu is 视频拉片到飞书 Base：自动抽帧、逐镜头分析、倒推分镜与视频生成提示词的 Codex/OpenCode skill. It is categorized as a Codex Skill with 36 GitHub stars.
video-shot-analysis-feishu is primarily written in Python. It covers topics such as ai-video, codex, feishu.
You can find installation instructions and usage details in the video-shot-analysis-feishu GitHub repository at github.com/wocha-xiaoli/video-shot-analysis-feishu. The project has 36 stars and 5 forks, indicating an active community.
video-shot-analysis-feishu is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to video-shot-analysis-feishu on Agent Skills Hub include cc-telegram-bridge, CozyClay, ask-user-questions-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: