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Feishu/Lark Notifications

Lets an agent send status updates and checkpoint questions to a Feishu/Lark chat during long research runs.

Stars
18,482
Licence
MIT
Files
1 file

What it does

When installed, this skill lets an AI agent post progress messages to Feishu (also called Lark), a team chat app, while it works. Other research-automation skills call it at key moments such as when an experiment finishes, a review score comes in, or the agent needs a human decision. In push mode it only sends one-way alerts to your phone. In interactive mode it can also wait for your reply, such as approve or reject, through a separate bridge program. If no config file exists, it does nothing.

Great for

  • Researchers running long unattended experiment or paper-review pipelines who want phone alerts
  • Developers who already use Feishu/Lark and want agent status updates in a chat
  • Users of the wider ARIS research-automation skill set who want checkpoint notifications

Skip it if

  • Anyone who does not use Feishu/Lark, since it only does anything with a configured webhook; it is an integration utility, not a general skill
  • Setups where the chat or webhook may carry sensitive unpublished results, because messages leave your machine for Feishu's servers and the skill's own rules only say not to include secrets
  • Users wanting a standalone notifier outside an agent workflow, since it is designed to be called by other skills

Try asking

  • “Send me a Feishu message saying the experiment finished with the results table”
  • “notify feishu: the review loop scored round 3 at 6/10”
  • “发飞书 告诉我论文改进流程已经完成”
  • “Ping Feishu when you reach a checkpoint and wait for my approve or reject”
Step-by-step guide: how to use Feishu/Lark NotificationsInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    feishu-notify.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip feishu-notify.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip feishu-notify.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Use push mode first; it is simpler and only needs a webhook URL. Interactive mode adds a local bridge process to run and maintain.
  • Keep the webhook URL private, since anyone holding it can post to your chat. It lives in ~/.claude/feishu.json, so keep that file's permissions restricted.
  • Test with a 'custom' message first to confirm delivery before relying on it during an unattended run.

What's inside

  • SKILL.md

Redistributed unmodified from wanshuiyin/Auto-claude-code-research-in-sleep under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.

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