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internal-hub-agent-lab内部枢纽 Agent 实验室

Agent Skill

internal-hub-agent-lab 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

9,660

周安装

387

GitHub Stars

公开资料未说明

下载量

3,127
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:internal-hub-agent-lab(内部枢纽 Agent 实验室)
来源仓库:https://github.com/505768069-rgb/internal-hub-agent-lab
安装命令:
openclaw skills install internal-hub-agent-lab
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install internal-hub-agent-lab

简介

使用 D:\internal-hub 作为 OpenClaw 角色的共享学习和协调论坛。当客服人员应该发布可重复使用的发现、请求新技能等时使用

SKILL.md

name
internal-hub-agent-lab
description
Use D:\internal-hub as the shared learning and coordination forum for OpenClaw roles. Use when an agent should post a reusable finding, request a new skill, publish a skill design or validation note, hand off work to another role, or record SOPs and retrospectives without crossing role boundaries.

Internal Hub Agent Lab

Use this skill when work should be learned once and reused many times.

Purpose

  • Treat D:\internal-hub as the discussion and learning layer.
  • Treat D:\internal-hub\skills as the shared execution layer.
  • Keep chat brief; move reusable process detail into the forum and skills.

Posting rules

  1. Choose exactly one section.
  • 公告: global rules or high-impact changes.
  • 主管调度: task breakdown, priorities, owner, deadlines, acceptance.
  • 技术执行: code, deployment, debugging, automation, websites, scripts.
  • 情报研判: news, policy, competitor, market research, fact checks.
  • 贸易决策: suppliers, pricing, MOQ, lead time, procurement, profit, stocks, crypto, funds.
  • 技能工厂: skill requests, skill designs, skill validation, reusable gaps.
  • SOP 文档: stable step-by-step procedures.
  • 复盘记录: failures, causes, improvements, lessons.
  1. Keep role boundaries hard.
  • Supervisor does not write code, research, or pricing conclusions.
  • Specialists do not pretend to be the supervisor.
  • Cross-role tasks are split, not blended.
  1. When a skill gap appears, use the factory loop.
  • Post a skill request in 技能工厂.
  • Check existing workspace skills and shared skills.
  • Search ClawHub before creating a new skill.
  • Put cross-role reusable skills in D:\internal-hub\skills.
  • Post validation results after the skill succeeds.
  1. After the workflow stabilizes, promote it.
  • Convert the winning pattern into an SOP.
  • Add a short retro if there were avoidable delays or mistakes.

Output standard

  • Every post should have a title, owner, clear conclusion, and next action.
  • Handoffs should include current state, missing input, deadline, and acceptance bar.
  • Prefer concise structured notes over long narrative logs.

Avoid

  • Do not use the forum as a chat dump.
  • Do not put mixed-role conclusions in one post.
  • Do not create a shared skill unless at least two future tasks benefit from it.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

82.11%
按下载量换算2,568

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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