agent-council: A skill that convenes a panel of CLI-based AI agents to deliberate on engineering problems through structured

by yogirk · Codex Skill · ★ 91

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How to install agent-council

npx cliagent-council
git clone https://github.com/yogirk/agent-council.git

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

Security audit verdict: SAFE · quality 71/100

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.

Quick Facts

Stars91
Forks22
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score71/100
Open Issues5
Last Updated2026-04-07
Created2026-03-29
Platformsclaude-code, cli, codex, gemini, node
Est. Tokens~13k

About agent-council

Agent Council Convene a panel of CLI-based AI agents to deliberate on your questions. Three models answer independently, review each other's work, and the invoking agent synthesizes the verdict as chairman. Works with Claude Code, Codex CLI, and Gemini CLI. Whichever tool you invoke from becomes the chairman. The others are council members.

agent-council alternative? Top 1 similar tools

Looking for a agent-council alternative? If you're comparing agent-council with other codex skill tools, these 1 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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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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