by tsensei · Agent Tool · ★ 217
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/tsensei/OpenReels.git
docker run --env-file .env --shm-size=2gb -v ./output:/output ghcr.io/tsensei/openreels "5 stoic lessons that changed my life"Taken from the project's README on GitHub.
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.
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 | 217 |
| Forks | 43 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 66/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-10 |
| Created | 2026-03-28 |
| Platforms | cli, docker, gemini, node |
| Est. Tokens | ~4430k |
OpenReels []() []() []() Open-source AI pipeline that turns any topic into a publish-ready YouTube/Instagram/TikTok Short. One command. Research, script, voiceover, AI-generated visuals, AI-generated music, animated captions, scene transitions. Out comes a vertical MP4, ready to upload. Web UI with live pipeline visualization, REST API, Docker, and CLI. Bring your own API keys.
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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: