No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by LLMSecurity · MCP Server · ★ 101
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-agent-skills-security safe to install? View the security audit →
Awesome Agent Skills Security 🛡️ A curated list of resources on securing AI agent tool use and skill ecosystems — attacks, defenses, frameworks, benchmarks, and standards. AI agents increasingly use external tools, plugins, and skills to interact with the world. This creates a new attack surface: agent skills security. This list covers the threats, defenses, and research landscape for securing these capabilities. Contents Threat Frameworks & Standards Surveys & Systematizations Attack Research Prompt Injection via Tools Tool Poisoning & Supply Chain Privilege Escalation & Excessive Agency Data Exfiltration & Privacy Indirect Prompt Injection Cross-Plugin Attacks Backdoor Attacks on Agents Agent Deception & Manipulation Jailbreaking & Guardrail Bypass Defense Research Permission & Access Control Runtime Monitoring & Sandboxing Input/Output Validation [Formal V
| Stars | 101 |
| Forks | 66 |
| Category | MCP Server |
| Quality Score | 57.4708172657435/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-22 |
| Created | 2026-03-09 |
| Platforms | mcp |
| Est. Tokens | ~28k |
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awesome-agent-skills-security is 🛡️ A curated list of resources on agent skills security: attacks, defenses, frameworks, and benchmarks for securing AI agent tool use and skill ecosystems. It is categorized as a MCP Server with 101 GitHub stars.
You can find installation instructions and usage details in the awesome-agent-skills-security GitHub repository at github.com/LLMSecurity/awesome-agent-skills-security. The project has 101 stars and 66 forks, indicating an active community.
The top alternatives to awesome-agent-skills-security on Agent Skills Hub include agent-security-scanner-mcp, agent-threat-rules, agent-audit. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: