codeArbiter: Open-source governance and hard gates for AI coding agents across Claude Code, Codex CLI, and Pi

by arbiterForge · Claude Skill · ★ 151

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

How to install codeArbiter

/plugin marketplace add arbiterForge/codeArbiter
/plugin install ca@codearbiter

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 63/100

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.

aiai-agentsai-codingai-governanceai-safetyai-toolschatgptclaudeclaude-codeclaude-code-plugin

Quick Facts

Stars151
Forks8
LanguagePython
CategoryClaude Skill
LicenseAGPL-3.0
Quality Score63/100
Open Issues50
Last Updated2026-11-03
Created2026-05-08
Platformsclaude-code, cli, codex, python
Est. Tokens~19k

About codeArbiter

Shared enforcement and project-context parity across Claude Code, Codex CLI, and Pi. One repository-owned governance layer for tests, reviews, security checks, decisions, and durable project context. You decide. codeArbiter enforces. Start learning   ·   Install   ·   Browse the reference Install it globally.

Compatible Skills

These tools work well together with codeArbiter for enhanced workflows:

  • agent-skills — semantic(0.47)+complementary+same_lang+similar_pop+shared_platform (66%)
  • skills — semantic(0.44)+complementary+same_lang+similar_pop+shared_platform (65%)
  • codex-reset-credits-skill — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (64%)

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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:

View on GitHub → Browse Claude Skill tools