grimoire: Offensive knowledge, offline. One search box for every playbook

by PentHertz · MCP Server · ★ 202

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

Security audit verdict: SAFE · quality 72/100

Flagged: sudo usage. 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.

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Quick Facts

Stars202
Forks22
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score72/100
Last Updated2026-10-18
Created2026-06-12
Platformsmcp, python
Est. Tokens~16k

About grimoire

Grimoire Offensive knowledge, offline. One search box for every playbook. by Penthertz - part of the RF-Swift toolkit Grimoire clones a curated set of security knowledge bases, indexes all of their markdown/YAML into a single full-text search index, and serves a fast web UI. Type , , , , , , ...

Compatible Skills

These tools work well together with grimoire for enhanced workflows:

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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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