by simoncirstoiu · Agent Tool · ★ 411
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.
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 | 411 |
| Forks | 43 |
| Language | JavaScript |
| Category | Agent Tool |
| Quality Score | 70/100 |
| Last Updated | 2026-10-28 |
| Created | 2026-04-19 |
| Platforms | docker, node |
| Est. Tokens | ~15k |
ALICE Analyse · Learn · Ingest · Curate · Export All-in-one AI-powered image annotation, training, and dataset management toolkit. Works on both NVIDIA GPU and CPU. ALICE automatically detects your hardware — if no compatible GPU is found, it falls back to CPU mode. No manual configuration needed.
These tools work well together with alice for enhanced workflows:
Looking for a alice alternative? If you're comparing alice 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.
🌟 A curated collection of free, high quality AI tools 🤖, APIs 🔗, datasets 📊, and learning resources 📚 cov
Telekinesis Agentic Skill Library: build AI-powered Computer Vision, Robotics and Physical AI applications.
Claude Code CLI integration for Unreal Engine 5.7 - Get AI coding assistance with built-in UE5.7 documentation
TrailSnap (行影集) | AI-Powered open-source photo album for travel & life memories.（AI赋能的开源相册工具，珍藏旅行与生活点滴）
Interactive LLM Powered NPCs, is an open-source project that completely transforms your interaction with non-p
Agent harness and tookit for building AI agents and agentic applications. CLI and SDKs included
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: