by DharminJoshi · Agent Tool · ★ 83
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 | 83 |
| Forks | 22 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64/100 |
| Open Issues | 5 |
| Last Updated | 2025-08-12 |
| Created | 2025-08-10 |
| Est. Tokens | ~3k |
🚀 Awesome Agentic AI Learning Resource By DevKay The ultimate resource for building intelligent agents and mastering modern AI/ML 🤖 From fundamentals to production-ready agentic systems. No fluff, just actionable content.
These tools work well together with Awesome-Agentic-AI-Learning-Resource-By-DevKay for enhanced workflows:
Looking for a Awesome-Agentic-AI-Learning-Resource-By-DevKay alternative? If you're comparing Awesome-Agentic-AI-Learning-Resource-By-DevKay 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-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agno
🌋 Build AI agents that seamlessly combine LLM reasoning with real-world actions via MCP tools — in just a few
Give you decision-ready references for the most common AI engineering problems
Give git-like & traceable memory to OpenClaw and any coding agents. By https://memov.ai/ aka Entire CLI for ev
Turn topics, links, and files into AI-generated research notebooks — summarize, explore, and ask anything.
Your SDK solves all of this. One interface. Unified logic. Local + hosted models. Fine-tuning. Agent tools. En
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: