claude-grc-engineering: Open-source GRC toolkit from the GRC Engineering Club

by GRCEngClub · Agent Tool · ★ 430

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How to install claude-grc-engineering

/plugin marketplace add GRCEngClub/claude-grc-engineering

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 70/100

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.

agentic-aiauditingclaude-codeclaude-code-plugincmmccompliancefedrampgap-analysisgrchitrust

Quick Facts

Stars430
Forks101
LanguageJavaScript
CategoryAgent Tool
Quality Score70/100
Open Issues30
Last Updated2026-10-31
Created2025-12-26
Platformsclaude-code, node
Est. Tokens~15k

About claude-grc-engineering

claude-grc-engineering https://github.com/user-attachments/assets/a83aa297-9fba-4a7d-b56c-06f962d1ec6b Open-source GRC Engineering resource for Claude. turns technical evidence from cloud, SaaS, code, and security tools into framework-aligned findings, gap reports, remediation guidance, evidence packages, and OSCAL workflows.

Compatible Skills

These tools work well together with claude-grc-engineering for enhanced workflows:

  • claude-plugins — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)
  • wozcode-plugin — semantic(0.23)+complementary+same_lang+similar_pop+shared_platform (53%)

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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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