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 chenzixin1 · Codex Skill · ★ 130
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is watchless safe to install? View the security audit →
Watchless 简体中文 | English Watch less. Understand more. 一个在 Codex 本地运行的完整视频理解 Skill：把 YouTube 链接或本地视频，转换成带关键帧、完整文字解说、HTML、PDF 和分享 ZIP 的可读文档。 项目目标不是生成一段摘要，而是让读者通过“关键图 + 对应文字”的顺序，完整理解原视频的论点、例子、数字、问答和视觉证据。 私人内部使用。 本仓库保留本机 Chrome Cookie 回退，但 Cookie 不会赋予下载、复制或传播权。只处理自己拥有或已经获得授权的内容，输出默认保持私人。详见 LEGAL.md。 实际效果 下面四个页面均来自 Watchless 的真实输出。不同内容采用不同的语义切分和关键帧策略，但最终都形成“关键图 + 完整文字”的连续阅读体验。 论文与文档解读 explainer + document-evidence 围绕完整论点切分，优先保留论文原图、流程图、引文和关键定义。 查看原视频 棚内多人对谈 conversation + studio + speaker 以完整问题和回答为边界，识别说话人，并控制重复人物画面的密度。 查看原视频 新闻访谈与数据证据 conversation + news + speaker + evidence 结合采访问答、姓名条、产品图和数据画面，保留可复核的视觉证据。 查看原视频
| Stars | 130 |
| Forks | 12 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 63.2548596997093/100 |
| Last Updated | 2026-09-16 |
| Created | 2026-07-11 |
| Platforms | codex, python |
| Est. Tokens | ~15k |
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watchless is Codex Skill that turns videos into complete keyframe-led visual documents.. It is categorized as a Codex Skill with 130 GitHub stars.
watchless is primarily written in Python. It covers topics such as codex, knowledge-management, transcription.
You can find installation instructions and usage details in the watchless GitHub repository at github.com/chenzixin1/watchless. The project has 130 stars and 12 forks, indicating an active community.
watchless is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to watchless on Agent Skills Hub include wonda, Overture, codex-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: