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编排一个可配置的多成员CLI规划委员会(Codex、Claude Code、Gemini、OpenCode或自定义),以生成独立的实施计划,对计划进行匿名化和随机排序,然后评审并合并为一个最终计划。当你需要一个稳健、无偏见的规划工作流、结构化JSON输出、重试机制以及多CLI代理的故障处理时使用。
npx skill4agent add am-will/codex-skills llm-council$XDG_CONFIG_HOME/llm-council/agents.json~/.config/llm-council/agents.json./setup.shpython3 scripts/llm_council.py run --spec /path/to/spec.json./llm-council/runs/<timestamp>python3 scripts/llm_council.py configure$XDG_CONFIG_HOME/llm-council/agents.json~/.config/llm-council/agents.jsonjudge.mdfinal-plan.mdfinal-plan.mdagents.plannersagents.judgeagents.judgeagents{
"task": "Describe the change request here.",
"agents": {
"planners": [
{ "name": "codex", "kind": "codex", "model": "gpt-5.2-codex", "reasoning_effort": "xhigh" },
{ "name": "claude-opus", "kind": "claude", "model": "opus" },
{ "name": "opencode-claude", "kind": "opencode", "model": "anthropic/claude-sonnet-4-5" },
{ "name": "opencode-gpt", "kind": "opencode", "model": "openai/gpt-4.1" }
],
"judge": { "name": "codex-judge", "kind": "codex", "model": "gpt-5.2-codex" }
}
}kindcustomcommandprompt_modeextra_argsreferences/task-spec.example.jsonreferences/architecture.mdreferences/prompts.mdreferences/templates/*.mdreferences/cli-notes.mdfinal-plan.md