by HITsz-TMG · Codex Skill · ★ 1.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: AI Video Generation & Editing: Seedance, Kling & Subtitles
git clone https://github.com/HITsz-TMG/VideoClaw.git
git clone https://github.com/HITsz-TMG/Video-Claw.git
Taken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 1,878 |
| Forks | 277 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 51/100 |
| Open Issues | 14 |
| Last Updated | 2026-08-26 |
| Created | 2024-08-29 |
| Platforms | python |
| Est. Tokens | ~19k |
VideoClaw: AI 创意视频生成员工 简体中文 | English 直接与 OpenClaw 对话:"生成 X 的视频" → 搞定。 📺 [
These tools work well together with VideoClaw for enhanced workflows:
Looking for a VideoClaw alternative? If you're comparing VideoClaw with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
全网最全的、持续更新的、最火爆的 100+ 人格 蒸馏skills 合集| 多agent系统 |名人/导演/天涯大神/古籍/二次元/职场/情感全品类
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving
Build autonomous AI agents in Python.
A full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Sca
🐬DeepChat - A smart assistant that connects powerful AI to your personal world
🚀 2026 最系统的 AI Agent 速成指南|智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze /
Explore other popular codex skill tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: