Aegis: Runtime policy enforcement for AI agents

by Justin0504 · MCP Server · ★ 525

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

How to install Aegis

git clone https://github.com/Justin0504/Aegis
pip install agentguard-aegis

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

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. 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.

agent-securityai-agentsai-safetyanthropicarxivaudit-traillangchainllm-observabilitymcppolicy-engine

Quick Facts

Stars525
Forks56
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score67/100
Open Issues5
Last Updated2026-10-31
Created2026-03-04
Platformsmcp, node
Est. Tokens~22k

About Aegis

AEGIS The firewall for AI agents. Every tool call. Intercepted. Classified. Blocked — before it executes. Download → · Roadmap → · Security → · Commercial → · Contributing → Your agent just called becau

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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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