by ekomen77 · Agent Tool · ★ 5
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Claude Video Editing & Remotion Skills
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 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 | 5 |
| Forks | 0 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 62/100 |
| Last Updated | 2026-11-04 |
| Created | 2026-11-04 |
| Platforms | browser, node |
| Est. Tokens | ~16k |
Ses kaydını ekomen77 tarzı 1080p anlatım videosuna çeviren motor. Turn a voiceover into an ekomen77-style 1080p explainer video - procedural Canvas + headless Chrome + FFmpeg pipeline, agent skill.
Looking for a erko-ai-video-engine alternative? If you're comparing erko-ai-video-engine with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
🎬 Turn any topic into a finished Zack D Films-style 3D animated short — curiosity-loop script, character shee
Showreel-grade motion graphics from code, with an original soundtrack for every video. An Agent Skill for Clau
This web browser has been designed to help your agent debug and develop complex web applications. (MCP Server)
Complete Kaggle integration plugin/skill for AI coding agents — competition reports, dataset/model downloads,
Web tasks that compile. Other browser tools tell your AI agent the click worked. chrome-agent reads the page b
Session-scoped Claude Code agent for ComfyUI video production — 12 specialized skills for image gen, video, vo
Explore other popular agent tool tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: