agentleFS
swenbo1-webswenbo1-web/agents-learning/skills/learning-browser/SKILL.md

learning-browser

Skill1 starsChanged 33 days agoMITView on GitHub

启动或查看本机只读可视化知识库浏览器(127.0.0.1),在浏览器中搜索和筛选正式知识,查看正文、适用条件、限制、来源健康、修订历史、事件时间线与管理员待办。

The file

Files
SKILL.md

可视化知识库浏览器

本机只读知识浏览界面仅监听 127.0.0.1,以 SQLite 只读快照展示当前项目的正式知识、来源健康、修订历史、事件时间线与管理员待办;不调用模型、不修改数据库、不登记模型展示(exposures)。

  • 核对当前项目、宿主及知识目录。从当前安装的 runtime-release.json 或生效的 MCP 配置确认实际解释器及固定运行入口,沿用安装的 ALP_CONFIG;不要依赖终端 cwd、开发源码或猜测默认知识目录。
  • 使用该安装的实际值运行 <PYTHON> -B <RUNTIME>/scripts/learning.py --workspace <PROJECT> --home <KNOWLEDGE_HOME> --host codex browser --open;保持临时服务运行。Windows 后台启动隐藏窗口。
  • DSH 宿主:可直接调用原生工具 learning_browser(action="start"|"status"|"stop", open=true),或使用 /learning-browser [start|status|stop]。
  • 安全边界:让 --open 直接打开启动链接;不回显或保存含访问码的输出。访问码通过 URL fragment 传入,页面加载后清除,仅留在进程及页面内存。需要候选审批或管理员设置时使用 learning-review;只读浏览不增加 --review 或 --admin-control。

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.