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 crawfordxx · Codex Skill · ★ 5
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is paper-cut-video-skill safe to install? View the security audit →
Script-driven Chinese paper-cut explainer videos with content-matched characters, Remotion, Doubao TTS, and semantic captions
| Stars | 5 |
| Forks | 2 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63.4659462415786/100 |
| Last Updated | 2026-07-17 |
| Created | 2026-07-17 |
| Platforms | codex, node |
| Est. Tokens | ~14k |
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paper-cut-video-skill is Script-driven Chinese paper-cut explainer videos with content-matched characters, Remotion, Doubao TTS, and semantic captions. It is categorized as a Codex Skill with 5 GitHub stars.
paper-cut-video-skill is primarily written in TypeScript. It covers topics such as chinese, codex, paper-cut.
You can find installation instructions and usage details in the paper-cut-video-skill GitHub repository at github.com/crawfordxx/paper-cut-video-skill. The project has 5 stars and 2 forks, indicating an active community.
paper-cut-video-skill is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to paper-cut-video-skill on Agent Skills Hub include deterministic-agent-control-protocol, openclaw-qa, fcpxml-mcp-server. 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: