by wj-sidiss · Codex Skill · ★ 195
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/wj-sidiss/otopilot.git
Taken from the project's README on GitHub.
Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
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 | 195 |
| Forks | 38 |
| Language | JavaScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 58/100 |
| Open Issues | 6 |
| Last Updated | 2026-11-04 |
| Created | 2026-10-14 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~21k |
Otopilot — konudan bitmiş videoya One sentence in → this Short out (script, museum art, voice-over, subtitles). Images: Rijksmuseum / The Met (CC0) and Wikimedia Commons, credits in docs/demo-credits.txt. No account, no tracking, no key required: it runs on your own computer. Hand the repo to Claude Code or Codex and ask for a video.
Looking for a otopilot alternative? If you're comparing otopilot 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.
Turn your coding agent into a video studio: describe a video in plain language, and your agent writes the time
Guardrailed video editing MCP server for AI agents. FFmpeg, Hyperframes, repurposing tools, Python client, and
Open-source AI pipeline that turns any topic into a publish-ready YouTube/Instagram/TikTok Short — research, s
🎬 Full video production studio for Remotion — for Claude Code, Codex, Gemini CLI & any Agent Skills agent. AI
YouTube and YouTube Shorts marketing skills for Claude Code and Codex: high-CTR titles, SEO descriptions, rete
🎬 AI-powered YouTube Shorts automation tool using LLMs, real-time search, and text-to-speech. Create engaging
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: