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Skills/open.feishu.cn/lark-contact
LC

lark-contact

open.feishu.cn
225K installs
Run it on Hostinger →up to 70% off + an extra 10% with code ZACAARON10Free API →

Installation

npx skills add https://open.feishu.cn --skill lark-contact

Summary

飞书 / Lark 通讯录:按姓名 / 邮箱解析成 open_id,或按 open_id 反查姓名 / 部门 / 邮箱 / 联系方式 / 个人状态 / 签名。当用户提到某人姓名要下一步发消息 / 排日程,或拿到 open_id 想查具体信息时使用。不负责部门树遍历、按部门列员工、组织架构图,这类需求走原生 OpenAPI。

SKILL.md

contact (v2)

CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md,其中包含认证、权限处理

选哪个命令

user 身份和 bot 身份是两条完全独立的路径。先确定当前身份,再按下表选命令:

想做什么user 身份bot 身份
按姓名 / 邮箱搜员工拿 open_id+search-user不支持
已知 open_id 取他人资料+search-user --user-ids <id>+get-user --user-id <id>
查看自己+get-user 或 +search-user --user-ids me不支持
查同事的个人状态 / 签名user_profiles batch_query不支持

已知 open_id 只是想发消息 / 排日程,不必经过 contact —— 直接 lark-im / lark-calendar。

典型场景

找张三给他发消息:先搜,确认 open_id,再发:

lark-cli contact +search-user --query "张三" --has-chatted --as user
lark-cli im +messages-send --user-id ou_xxx --text "Hi!"

批量查同事的个人状态 / 个性签名(先用 schema 看参数)。

lark-cli schema contact.user_profiles.batch_query
lark-cli contact user_profiles batch_query \
  --params '{"user_id_type":"open_id"}' \
  --data '{"user_ids":["ou_xxx","ou_yyy"],"query_option":{"include_personal_status":true,"include_description":true}}' \
  --as user

搜索命中多条且后续操作有副作用(发消息、邀请会议等),把候选列给用户挑;不要擅自选第一条。

注意事项

  • 41050 / Permission denied 受当前身份的可见范围限制(两条命令都可能遇到)。换 bot 身份或让管理员调整可见范围,细节见 lark-shared。
  • 跨租户用户(is_cross_tenant=true)多数业务字段为空字符串,这是飞书可见性规则,下游做空值兜底。
  • ID 类型:默认 open_id。+get-user 可改 --user-id-type union_id|user_id;+search-user 只接受 open_id。

不在本 skill 范围

  • 发消息 / 查聊天记录 → lark-im
  • 排日程 / 邀请会议 → lark-calendar
  • 部门树 / 按部门列员工 / 组织架构 → lark-openapi-explorer 查找原生接口

Score

0–100
69/ 100

Grade

C

Popularity30/30

225,094 installs — top-tier adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust6/25

Limited provenance information — review the source before installing.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Lark Contact FAQ

How do I install the Lark Contact skill?

Run “npx skills add https://open.feishu.cn --skill lark-contact” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Lark Contact skill do?

飞书 / Lark 通讯录:按姓名 / 邮箱解析成 open_id,或按 open_id 反查姓名 / 部门 / 邮箱 / 联系方式 / 个人状态 / 签名。当用户提到某人姓名要下一步发消息 / 排日程,或拿到 open_id 想查具体信息时使用。不负责部门树遍历、按部门列员工、组织架构图,这类需求走原生 OpenAPI。 The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Lark Contact skill free?

Yes. Lark Contact is a free, open-source skill published from open.feishu.cn. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Lark Contact work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Lark Contact works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

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Reach 56,000+ AI builders from just $0.50 a click

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6,000+ web scrapers for your AI agent, start free logo6,000+ web scrapers for your AI agent, start free

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Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

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Reach 56,000+ AI builders from just $0.50 a click

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Advertise from $0.50/click →
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One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

Context.dev gives your agents a single API to scrape, enrich, and extract live web data — no proxies, no parsers, no maintenance.

Start building free →
Turn any website into LLM-ready data for your agent logoTurn any website into LLM-ready data for your agent

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