Agent skill

Feishu

by nano-muse in nano-muse/nanoMuse

The user's 飞书 / Lark through its command-line tool (lark-cli): agenda, people and groups, reading and sending messages, events, tasks, documents, with no app open.

GPL-3.0Auto-check passedProductivity & Automation

Install Feishu

skills CLI
$ npx skills add nano-muse/nanoMuse --skill feishu -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install nano-muse/nanoMuse feishu --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/nano-muse/nanoMuse.git skills-src && mkdir -p .claude/skills && cp -r skills-src/nanomuse/skills/builtin/feishu .claude/skills/feishu && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
feishu
GitHub stars
381
Token cost
~1.1k tokens
SKILL.md length
656 words
Files
1
Skills in repo
11
Repo updated
First seen
Licence
GPL-3.0

At a glance

The user's 飞书 / Lark through its command-line tool (lark-cli): agenda, people and groups, reading and sending messages, events, tasks, documents, with no app open.

  • The user mentions 飞书
  • SKILL.md covers Is it there?, Reading, Writing and With the other hands, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Wants a colleague told something

What it does

Feishu is an agent skill from nano-muse/nanoMuse. The user's 飞书 / Lark through its command-line tool (lark-cli): agenda, people and groups, reading and sending messages, events, tasks, documents, with no app open. Use when the user mentions 飞书, Lark, a 群, a 日程 or a 飞书文档, or wants a colleague told something.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Messaging and chat bots. It works with Feishu (Lark). The repository describes itself as: nanoMuse: an open-source personal agent for every device you own. One agent with a name and a look of its own that does things, keeps working while the app is closed, remembers… The licence is GPL-3.0.

When your agent uses it

  • The user mentions 飞书
  • Wants a colleague told something

Example prompts

  • “/feishu”

What it can do on your machine

Read from SKILL.md and the folder at commit 29e7a91. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Feishu loads about 1.1k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 656 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from nano-muse/nanoMuse at commit 29e7a91, republished under its GPL-3.0 licence (© nano-muse). 656 words, ~1,135 tokens.

Download SKILL.mdSave it as .claude/skills/feishu/SKILL.md (or your agent's skills folder).
name
feishu
description
The user's 飞书 / Lark through its command-line tool (lark-cli): agenda, people and groups, reading and sending messages, events, tasks, documents, with no app open. Use when the user mentions 飞书, Lark, a 群, a 日程 or a 飞书文档, or wants a colleague told something.
channel
cli
metadata
author: nanoMuse version: "1"

飞书 (Feishu / Lark) through lark-cli

飞书 has an API, and lark-cli (the official CLI from Larksuite) wraps it; this is done with shell, not on the phone's screen. Every call prints JSON: ok says whether it worked, data holds the result, error.message says what went wrong. Read the JSON, never the user's screen.

Is it there?

shell: lark-cli auth status; identities.user.available must be true for anything done in the user's name (their agenda, their messages). If the command is missing, the answer says not_configured, or the user identity is not logged in, say so in one line and stop; setting it up is the user's job, in two steps they run themselves: lark-cli config init --new once (it prints a link that creates the CLI's own 飞书 app under their account), then lark-cli auth login (a link or a QR code to approve; --domain calendar,im,task narrows what it may touch). Do not try to install it, to run config init or to log in for them. In a sandbox the CLI and its login only exist when the user shared them (sandbox.share_read_only / sandbox.share in config.toml); the error then says "command not found"; tell the user which two lines to add.

Reading

  • Today's schedule: lark-cli calendar +agenda --as user (a date: --date 2026-09-25; a range with --start / --end).
  • Free time for a meeting: lark-cli calendar +freebusy --user-ids ou_… --start … --end ….
  • A person: lark-cli contact +search-user --query 张三 --as user → their open_id (ou_…). A group: lark-cli im +chat-search --query 项目群 --as user → chat_id (oc_…). Take the one match; with several, ask the user which with one ask_user, do not guess.
  • What was said: lark-cli im +chat-messages-list --chat-id oc_… --as user (a DM: --user-id ou_…; --start-time / --end-time for a window). lark-cli im +messages-search --query 周报 --as user across chats.
  • Tasks: lark-cli task +get-my-tasks --as user. A document: lark-cli docs +fetch --doc <url or token> gives its text.
  • Add --jq '<expr>' to keep the output small (--jq '.data[] | {summary, start_time}'), and --format table when you want to show a list to the user as is.
Show full SKILL.md (315 more words)Show less

Writing

Every write is something the user says to other people. Before the call, show the exact text and the recipient and ask with one ask_user; send only what they approved, word for word.

  • A message: lark-cli im +messages-send --chat-id oc_… --text "…" --as user (a DM: --user-id ou_…; longer or formatted: --markdown "…"). Add --idempotency-key <something unique> so a retried command cannot send twice.
  • A reply in a thread: lark-cli im +messages-reply --message-id om_… --text "…" --as user.
  • An event: lark-cli calendar +create --summary "…" --start 2026-09-25T14:00:00+08:00 --end 2026-09-25T15:00:00+08:00 --attendee-ids ou_a,ou_b --as user.
  • A task: lark-cli task +create --summary "…" --due 2026-09-26 --assignee ou_… --as user.
  • A document: lark-cli docs +create --title "…" --markdown @notes.md --as user from a file in the workspace.

Commands the CLI marks high-risk-write (deleting an event, removing members, anything with --yes) refuse to run without --yes; add it only after the user has said yes to that very action, and never to a command that was not asked for. Sentinel will show the shell command on an approval card; that is expected.

With the other hands

  • 飞书 + 高德: plan the route or check the weather with the amap skill, then put the result in a message or an event description.
  • 飞书 + the phone: apps that have no API (12306, 微信, 支付宝) are done with phone_task; the outcome (the train, the payment made) goes to the colleague through lark-cli.
  • 飞书 + the workspace: a brief, a comparison, a page you wrote becomes a document with docs +create or an attachment with im +messages-send --file.

Finish

Reply with what was read or done in a few lines: the messages sent (to whom, first words), the event (title, time, attendees), the task (title, due). Do not paste whole chat histories into the answer; give the gist and offer the rest. remember who the user writes to most and which groups matter, so that next time the search is shorter.

© nano-muse, GPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in nanomuse/skills/builtin/feishu of nano-muse/nanoMuse.

Open the folder on GitHubat commit 29e7a91

Compare with similar skills

Feishu next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Feishu compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Feishu this skillnano-muse/nanoMuse381—~1.1kAutomated safety check: PassGPL-3.0
Feishu Docopenclaw/openclaw392k—~516Automated safety check: PassMIT
Feishu Docraucvr/Group-Goki1123 repos~592Automated safety check: PassMIT
Feishu Driveraucvr/Group-Goki1123 repos~587Automated safety check: PassMIT
Feishu Permraucvr/Group-Goki1123 repos~630Automated safety check: PassMIT
Feishu Safety GuideSafeAI-Lab-X/ClawKeeper1k—~3.6kAutomated safety check: PassNone

Similar skills

  • Feishu Doc

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    392k GitHub stars~516 tokensUpdated today
    Productivity & AutomationAuto-check passed
  • Feishu Doc

    raucvr/Group-Goki

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    112 GitHub starsUsed in 3 repos~592 tokens
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  • Feishu Safety Guide

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  • Meeting Prep

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Works with

Questions about Feishu

What does Feishu do?

The user's 飞书 / Lark through its command-line tool (lark-cli): agenda, people and groups, reading and sending messages, events, tasks, documents, with no app open. Feishu is an agent skill from nano-muse/nanoMuse. The user's 飞书 / Lark through its command-line tool (lark-cli): agenda, people and groups, reading and sending messages, events, tasks, documents, with no app open.

When should I use Feishu?

Feishu fits situations like: the user mentions 飞书; wants a colleague told something.

How do I install Feishu in Claude Code?

Run `npx skills add nano-muse/nanoMuse --skill feishu -a claude-code`. Or copy the skill folder (nanomuse/skills/builtin/feishu in nano-muse/nanoMuse) into .claude/skills/feishu in your project. Claude Code loads it when a task matches its description.

How do I install Feishu in Codex?

Run `npx skills add nano-muse/nanoMuse --skill feishu -a codex`. Or copy the skill folder (nanomuse/skills/builtin/feishu in nano-muse/nanoMuse) into .agents/skills/feishu in your project. Codex loads it when a task matches its description.

Can I use Feishu in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nano-muse/nanoMuse --skill feishu -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/feishu, .gemini/skills/feishu, .github/skills/feishu and .opencode/skills/feishu in your project.

What does Feishu need to run?

SKILL.md names no scripts, command-line tools or credentials: Feishu is instructions for the agent only.

Does Feishu access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Feishu safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Feishu use?

Feishu is published under the GPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Feishu use?

About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Feishu?

Skills that share tags, products or a category with Feishu: Feishu Doc (openclaw/openclaw, 392k stars), Feishu Doc (raucvr/Group-Goki, 112 stars), Feishu Drive (raucvr/Group-Goki, 112 stars) and Feishu Perm (raucvr/Group-Goki, 112 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Feishu?

nano-muse (a GitHub organization) maintains it in nano-muse/nanoMuse, which has 381 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 9, 2026.

Source: nano-muse/nanoMuse on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.