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Agent skill

Lark Shared

by Pinvou in Pinvou/pinvou-agent

【何时用:仅在其他 lark- 技能遇到认证/授权/身份/配置问题时,或首次使用 lark-cli 时;泛指需求默认走本地工具】lark-cli 共享规则:首次配置(config init)、认证登录(auth login --domain/--scope,split-flow)、登录态查询与撤销(auth status/logout/whoami)、--as user/bot…

MITAuto-check passedProductivity & Automation

Install Lark Shared

skills CLI
$ npx skills add Pinvou/pinvou-agent --skill lark-shared -a claude-code

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

GitHub CLI
$ gh skill install Pinvou/pinvou-agent lark-shared --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/Pinvou/pinvou-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/pinvou3-app/src-tauri/resources/common/bundle/lark-skills/lark-shared .claude/skills/lark-shared && 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
lark-shared
GitHub stars
2.4k
Token cost
~774 tokens
SKILL.md length
164 words
Files
7 (incl. references)
Skills in repo
30
Repo updated
First seen
Licence
MIT

At a glance

【何时用:仅在其他 lark- 技能遇到认证/授权/身份/配置问题时,或首次使用 lark-cli 时;泛指需求默认走本地工具】lark-cli 共享规则:首次配置(config init)、认证登录(auth login --domain/--scope,split-flow)、登录态查询与撤销(auth status/logout/whoami)、--as user/bot…

  • Works in 4 steps: 调用前先确认用法：执行前读对应 reference 或跑 --help，别猜… → 身份决定你代表谁操作：--as user… → 授权 / 配置类 URL 必须配二维码：当命令输出… → …
  • Tasks that involve Messaging and chat bots
  • SKILL.md covers 通用准则, 安全规则 and Reference 强触发索引
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Lark Shared is an agent skill from Pinvou/pinvou-agent. 【何时用:仅在其他 lark- 技能遇到认证/授权/身份/配置问题时,或首次使用 lark-cli 时;泛指需求默认走本地工具】lark-cli 共享规则:首次配置(config init)、认证登录(auth login --domain/--scope,split-flow)、登录态查询与撤销(auth status/logout/whoami)、--as user/bot 身份切换、权限不足与 missingscope 处理、JSON 输出契约与 notice、update 更新、高风险操作审批(exit 10)。

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/lark-shared-config-init.md`, `references/lark-shared-high-risk-approval.md` and `references/lark-shared-identity-and-permissions.md`).

It sits in Productivity & Automation, covering Messaging and chat bots. The repository describes itself as: Open-source desktop AI agent for tools, files, knowledge, workflows, and real deliverables. The licence is MIT.

When your agent uses it

  • Tasks that involve Messaging and chat bots

Example prompts

  • “/lark-shared”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. 调用前先确认用法：执行前读对应 reference 或跑 --help，别猜 flag 盲调。
  2. 身份决定你代表谁操作：--as user 代表用户本人（能看到、也能操作其日历、云空间/云盘/云存储等个人资源），--as bot 代表应用自己，应用级操作，只能访问bot自己的资源，bot…
  3. 授权 / 配置类 URL 必须配二维码：当命令输出 verification_url、verification_uri_complete、console_url 等 URL 字段时，必须用 lark-cli auth qrcode 生成并在回复中展示，URL…
  4. format json（默认）下，判断成功用 ok == true（或进程退出码 0），不要用 code == 0：成功信封没有顶层 code / msg 字段，code 只出现在错误信封的 error 内。按 OpenAPI 老格式 {"code": 0, "msg"…

What it can do on your machine

Read from SKILL.md and the folder at commit 7bba3ef. 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

Lark Shared loads about 774 tokens when it runs, and up to ~4.1k if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 164 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~774
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.1k

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 Pinvou/pinvou-agent at commit 7bba3ef, republished under its MIT licence (© Pinvou). 164 words, ~774 tokens.

Download SKILL.mdSave it as .claude/skills/lark-shared/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
lark-shared
description
【何时用:仅在其他 lark-* 技能遇到认证/授权/身份/配置问题时,或首次使用 lark-cli 时;泛指需求默认走本地工具】lark-cli 共享规则:首次配置(config init)、认证登录(auth login --domain/--scope,split-flow)、登录态查询与撤销(auth status/logout/whoami)、--as user/bot 身份切换、权限不足与 missing_scope 处理、JSON 输出契约与 _notice、update 更新、高风险操作审批(exit 10)。
version
1.1.0
metadata.cliHelp
lark-cli auth --help;lark-cli config --help

lark-cli 共享规则

所有 lark-* skill 共享的底座：身份、认证、输出契约与高风险操作。

通用准则

  1. 调用前先确认用法：执行前读对应 reference 或跑 --help，别猜 flag 盲调。

  2. 身份决定你代表谁操作：--as user 代表用户本人（能看到、也能操作其日历、云空间/云盘/云存储等个人资源），--as bot 代表应用自己，应用级操作，只能访问bot自己的资源，bot 查用户资源会返回空成功而非报错。动手前先搞清楚身份identity。身份模型和权限管理 → lark-shared-identity-and-permissions.md。

  3. 授权 / 配置类 URL 必须配二维码：当命令输出 verification_url、verification_uri_complete、console_url 等 URL 字段时，必须用 lark-cli auth qrcode 生成并在回复中展示，URL 在前二维码在后；优先生成 PNG（--output），仅当用户明确要求时才使用 ASCII（--ascii）。URL 原样转发——不编解码、不加标点、不重拼 query，二维码和链接请一起展示给用户。

  4. --format json（默认）下，判断成功用 ok == true（或进程退出码 0），不要用 code == 0：成功信封没有顶层 code / msg 字段，code 只出现在错误信封的 error 内。按 OpenAPI 老格式 {"code": 0, "msg": "ok"}判断会把所有成功调用误判为失败——封装写入类命令时尤其危险。JSON 输出契约 → lark-shared-output-contract.md。

安全规则

  1. 禁止输出密钥（appSecret、accessToken等）到终端明文。

  2. 写入/删除操作前必须确认用户意图。

  3. 目标命令支持 --dry-run 时，用 --dry-run 预览危险请求。

  4. 退出码 10 是高风险确认门禁（risk: "high-risk-write"），不是错误：停下 → 向用户确认（展示 action、risk 和关键参数）→ 取得用户显式同意后，将 hint 指出的确认 flag 追加到你原始 argv 的末尾后重试；绝不静默加确认 flag 绕过 → lark-shared-high-risk-approval.md。

  5. 文件路径只接受相对路径：--file、--output、--output-dir、@file 等路径参数只接受 cwd 下的相对路径，传绝对路径会报 unsafe file path。数据输入（@file、大 JSON）优先用 stdin 传入，避免路径和转义问题。

  6. 临时文件一律写 tmp/ 子目录,别落工作目录根：CLI 入参、API 响应、分步数据等中间文件,统一写到 cwd 下的 tmp/ 子目录(如 --data @tmp/params.json、lark-cli ... > tmp/resp.json,相对路径仍合法)。原因:工作目录根的文件会被当作「产出物」展示给用户,过程文件会污染产物列表。能用 stdin 不落文件就别落;必须落就放 tmp/(必要时先 mkdir -p tmp)。

Reference 强触发索引

命中任一触发条件时，MUST 在执行下一步前读取对应 reference。命中多条时按表中顺序读取，同一reference只读取一次。

强触发条件（命中任一即必读）Reference
查看自己是谁(user/bot)、获取当前身份详细字段信息、身份诊断、--as选择逻辑、身份延续、登录态、认证、scope、授权和权限管理、missing_scopes 或 console_url、Agent 准备发起或完成 auth loginlark-shared-identity-and-permissions.md
需要依赖 JSON 输出契约判断成功 / 失败、读取 stdout / stderr，或为命令编写脚本与封装lark-shared-output-contract.md
准备执行high-risk-write(高风险操作)、判断命令风险等级、遇到退出码 exit 10、confirmation_required、确认后重试lark-shared-high-risk-approval.md
首次使用CLI需运行 lark-cli config init 完成应用配置、或 CLI 明确提示 config init --newlark-shared-config-init.md
用户询问 notice、CLI版本更新、或输出含 _notice（升级 / skills 落后 / 废弃命令提示）lark-shared-update-notice.md

© Pinvou, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (references) in pinvou3-app/src-tauri/resources/common/bundle/lark-skills/lark-shared of Pinvou/pinvou-agent.

  • SKILL.md
  • references/lark-shared-config-init.md
  • references/lark-shared-high-risk-approval.md
  • references/lark-shared-identity-and-permissions.md
  • references/lark-shared-output-contract.md
  • references/lark-shared-update-notice.md
  • references/lark-wiki-token-routing.md

Open the folder on GitHubat commit 7bba3ef

Compare with similar skills

Lark Shared 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.

Lark Shared compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Lark Shared this skillPinvou/pinvou-agent2.4k—~774Automated safety check: PassMIT
Feishu Docopenclaw/openclaw392k—~516Automated safety check: PassMIT
She Love Me863401402/she-love-me9251 repos~1.3kAutomated safety check: PassMIT
Feishu Docraucvr/Group-Goki1123 repos~592Automated safety check: PassMIT
Wechat Article Extractorfreestylefly/wechat-article-extractor-skill1361 repos~1kAutomated safety check: PassNone
Wechat Miniprogram Builderchenjin-cmd/wechat-miniprogram-builder355—~634Automated safety check: PassMIT

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Categories

Questions about Lark Shared

What does Lark Shared do?

【何时用:仅在其他 lark- 技能遇到认证/授权/身份/配置问题时,或首次使用 lark-cli 时;泛指需求默认走本地工具】lark-cli 共享规则:首次配置(config init)、认证登录(auth login --domain/--scope,split-flow)、登录态查询与撤销(auth status/logout/whoami)、--as user/bot…. Lark Shared is an agent skill from Pinvou/pinvou-agent.

When should I use Lark Shared?

Lark Shared fits situations like: tasks that involve Messaging and chat bots.

How do I install Lark Shared in Claude Code?

Run `npx skills add Pinvou/pinvou-agent --skill lark-shared -a claude-code`. Or copy the skill folder (pinvou3-app/src-tauri/resources/common/bundle/lark-skills/lark-shared in Pinvou/pinvou-agent) into .claude/skills/lark-shared in your project. Claude Code loads it when a task matches its description.

How do I install Lark Shared in Codex?

Run `npx skills add Pinvou/pinvou-agent --skill lark-shared -a codex`. Or copy the skill folder (pinvou3-app/src-tauri/resources/common/bundle/lark-skills/lark-shared in Pinvou/pinvou-agent) into .agents/skills/lark-shared in your project. Codex loads it when a task matches its description.

Can I use Lark Shared 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 Pinvou/pinvou-agent --skill lark-shared -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lark-shared, .gemini/skills/lark-shared, .github/skills/lark-shared and .opencode/skills/lark-shared in your project.

What does Lark Shared need to run?

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

Does Lark Shared 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 Lark Shared 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 Lark Shared use?

Lark Shared is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lark Shared use?

About 774 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.4k tokens, read only when the agent opens those files.

What are the alternatives to Lark Shared?

Skills that share tags, products or a category with Lark Shared: Feishu Doc (openclaw/openclaw, 392k stars), She Love Me (863401402/she-love-me, 925 stars), Feishu Doc (raucvr/Group-Goki, 112 stars) and Wechat Article Extractor (freestylefly/wechat-article-extractor-skill, 136 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lark Shared?

Pinvou (a GitHub organization) maintains it in Pinvou/pinvou-agent, which has 2,401 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on October 9, 2026.

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