agent-threat-rules: Open detection-rule standard for AI agent security threats — like Sigma, but for AI agents

by Agent-Threat-Rule · MCP Server · ★ 426

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install agent-threat-rules

npm install agent-threat-rules
npm install -g agent-threat-rules

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 69/100

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.

agent-securityagent-threat-rulesai-securitygarakllm-securitymcp-securityowaspowasp-agenticprompt-injectionsigma-rules

Quick Facts

Stars426
Forks66
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score69/100
Open Issues42
Last Updated2026-11-07
Created2026-03-09
Platformsmcp, node
Est. Tokens~22k

About agent-threat-rules

ATR — Agent Threat Rules Open detection rule format for AI agent security threats. AI Agent 威脅偵測規則的開放格式 A

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How this security grade is produced

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:

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