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human-in-the-loop

mvschwarz/openrig/packages/daemon/specs/agents/shared/skills/core/human-in-the-loop

Use when classifying a slice closeout (auto-continue / human gate / park), routing a real decision to a human, or designing a human queue/dashboard surface. Treats humans as durable network participants with attention surfaces, queues, and decision records — escalation lands as a durable attention item, not a chat message. Approval is NOT required for every clean closeout; the default RSI conveyor continues unless an explicit human gate is reached.

把下面的话发给 Claude Code、Codex 或 Cursor。智能体会先检查内容,经你确认再安装。

请帮我安装这个 Agent Skill:https://github.com/mvschwarz/openrig/tree/main/packages/daemon/specs/agents/shared/skills/core/human-in-the-loop

1. 先读取该目录下的 SKILL.md 和其他文件,检查是否有可疑内容(执行未知脚本、读取密钥、向外发送数据等),用中文告诉我它会做什么、需要哪些权限;
2. 等我确认后,再把整个目录安装到 ~/.claude/skills/human-in-the-loop/(如果你不是 Claude Code,安装到你自己约定的 skills 目录);
3. 安装后告诉我怎么触发它。

Skill 可以让智能体执行脚本。安装第三方 Skill 前务必看一遍内容,详见「安全」一课。

正在从 GitHub 读取……

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