by requie · Agent Tool · ★ 157
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 | 157 |
| Forks | 19 |
| Category | Agent Tool |
| Quality Score | 54/100 |
| Open Issues | 1 |
| Last Updated | 2026-04-03 |
| Created | 2025-10-07 |
| Est. Tokens | ~9k |
🛡️ LLM Security 101: The Complete Guide (2026 Edition) A comprehensive guide to offensive and defensive security for Large Language Models and Agentic AI Systems, updated for February 2026 with the OWASP Top 10 for LLMs 2025, corrected OWASP Top 10 for Agentic Applications 2026 (ASI prefix), new security tools, recent incidents, and AI regulation coverage.
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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: