by oil-oil
AI-powered Werewolf (Mafia) social deduction game where every player is controlled by top LLMs like DeepSeek, Qwen, Gemini, and more
# Add to your Claude Code skills
git clone https://github.com/oil-oil/wolfchaLast scanned: 5/12/2026
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}wolfcha is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by oil-oil. AI-powered Werewolf (Mafia) social deduction game where every player is controlled by top LLMs like DeepSeek, Qwen, Gemini, and more. It has 684 GitHub stars.
wolfcha returned warnings in SkillsLLM's automated security scan. It has no critical vulnerabilities, but review the flagged issues in the Security Report section before adding it to your workflow.
Clone the repository with "git clone https://github.com/oil-oil/wolfcha" and add it to your Claude Code skills directory (see the Installation section above).
wolfcha is primarily written in TypeScript. It is open-source under oil-oil on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh wolfcha against similar tools.
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Requires a passing catalog security scan. Resolve the flagged issues and resubmit to enable featuring.
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Wolfcha recreates the part of Werewolf that is hardest to schedule: a complete table of distinct players. Choose your role, enter an 8–12 seat game, and let the AI handle every other personality, secret, accusation, and vote.
| Characters first | Table-aware memory | Decisions with intent |
|---|---|---|
| Each AI has a stable personality layered over a hidden game role. | Players follow speeches, votes, deaths, and changing suspicions. | They accuse, defend, bluff, follow, or hold back according to their faction goal. |
You can play as Villager, Werewolf, White Wolf King, Seer, Witch, Hunter, Guard, or Idiot. Conversations are generated in real time, so the same setup can produce a very different table.
Wolfcha was created at the Watcha × ModelScope Global Hackathon. The name combines Wolf with Cha (猹) — part Werewolf, part spectator watching a table of AI personalities collide.
Requirements: Node.js and pnpm.
git clone https://github.com/oil-oil/wolfcha.git
cd wolfcha
pnpm install
cp .env.example .env.local
pnpm dev
Open http://localhost:3000. Configure the providers you need in .env.local; the available variables are documented in .env.example.
Next.js 16 · TypeScript · Tailwind CSS 4 · Jotai · Radix UI · Framer Motion · Tiptap