by 0xwilliamortiz · Claude Skill · ★ 292
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Agent Council A skill that gathers opinions from multiple AI CLIs (Codex, Gemini, ...) and lets a configurable Chairman synthesize a conclusion. Inspired by Karpathy's LLM Council Key Difference from LLM Council No additional API costs! Unlike Karpathy's LLM Council which directly calls each LLM's API (incurring costs), Agent Council uses your installed AI CLIs (Claude Code, Codex CLI, Gemini CLI, ...). This is especially useful if you mainly use one host CLI and occasionally consult others via subscriptions. Skills are much simpler and more reproducible than MCP. We recommend installing via npx and customizing it yourself! Demo https://github.com/user-attachments/assets/c550c473-00d2-4def-b7ba-654cc7643e9b How it Works Agent Council implements a 3-stage process for gathering AI consensus: Stage 1: Initial Opinions All configured AI agents receive your question simultaneously and respond independently. Stage 2: Response Collection Responses from each agent are collected and displayed to you in a formatted view. Stage 3: Chairman Synthesis Your host agent (Claude Code / Codex CLI / etc.) acts as the Chairman by default (), synthesizing all opinions into a final recommendation.
| Stars | 292 |
| Forks | 37 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 72.8452734422945/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-30 |
| Created | 2026-07-20 |
| Platforms | claude-code, cli, codex, gemini, node |
| Est. Tokens | ~14k |
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agents-council is Multi-agents collaboration plugin for Claude Code - orchestrate multiple AI agents (Codex CLI, Gemini CLI, etc.) for diverse perspectives. It is categorized as a Claude Skill with 292 GitHub stars.
agents-council is primarily written in JavaScript. It covers topics such as claude, claude-ai, claude-code.
You can find installation instructions and usage details in the agents-council GitHub repository at github.com/0xwilliamortiz/agents-council. The project has 292 stars and 37 forks, indicating an active community.
agents-council is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agents-council on Agent Skills Hub include cursor-rules-java, terrashark, getspecstory. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: