by simranjeet97 · Agent Tool · ★ 230
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 | 230 |
| Forks | 80 |
| Language | Jupyter Notebook |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 56/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-17 |
| Created | 2025-03-09 |
| Platforms | aws, claude-code |
| Est. Tokens | ~522k |
🚀 Awesome AI Agents: Learn Agentic AI from Scratch Welcome to the Awesome AI Agents repository! This is a comprehensive collection of autonomous AI agents built using cutting-edge frameworks like Agno, Microsoft AutoGen, and OpenAI Swarm. Whether you're a beginner or an expert, these projects will help you master Agentic AI design patterns and build real-world autonomous systems.
These tools work well together with Awsome_AI_Agents for enhanced workflows:
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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: