by Utopai-Research · Agent Tool · ★ 344
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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 | 344 |
| Forks | 36 |
| Language | JavaScript |
| Category | Agent Tool |
| Quality Score | 62/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-25 |
| Created | 2026-05-20 |
| Platforms | claude-code, docker, node |
| Est. Tokens | ~15k |
PAI-Pro The local AI filmmaking studio, driven from your coding agent. 简体中文 · English [![Utopai...
These tools work well together with pai-pro for enhanced workflows:
Looking for a pai-pro alternative? If you're comparing pai-pro 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.
Open Film Skills: 21 independent modules for story, directing, visual assets and AI-film production, with rese
导演Skill:面向 AI 视频创作的开源 Agent Skills | Director Skills: Open-source Agent Skills for AI video creation.
Universal Claude Code workflow plugin with agents, skills, hooks, and commands
⚡️ 10x - Up to 20x faster AI coding with multi-step Superpowers. Open-source agent with smart model routing, B
Open-source, self-hosted Claude Code - a terminal AI assistant and the Python framework behind it. Tool-callin
Run Claude Code, Codex, and Gemini side by side — each in its own git worktree
Explore other popular agent tool 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: