lark-wiki

lark-wiki is a skill for Claude Code, Codex from yokingma/weclaws. It costs 81 tokens per session (2,070 once invoked), scanned A, a copy of lark-wiki, MIT.

A tool for managing Feishu (Lark) knowledge bases, which are shared spaces for organizing documents and shortcuts. It can also manage spaces, members, and document-node hierarchies.

In plain words
What is it for?
Use it to browse knowledge spaces, inspect their structure, manage members, and work with documents through the Lark command-line tools.
Why use it?
It helps an agent find, create, organize, move, copy, and manage knowledge-base content while following the required user or bot permissions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to browse knowledge spaces, inspect their structure, manage members, and work with documents through the Lark command-line tools.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yokingma/weclaws/lark-wiki
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add yokingma/weclaws --skill lark-wiki
Clone the repo
git clone --depth 1 https://github.com/yokingma/weclaws

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for lark-wiki

README.md
[![agentmods](https://agentmods.dev/badge/skills/yokingma/weclaws/lark-wiki.svg)](https://agentmods.dev/skills/yokingma/weclaws/lark-wiki)
Your own site
<a href="https://agentmods.dev/skills/yokingma/weclaws/lark-wiki"><img src="https://agentmods.dev/badge/skills/yokingma/weclaws/lark-wiki.svg" alt="Measured on agentmods" height="20"></a>
Per session 81 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,070 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 97% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00081 $0.02070
Opus 5 $0.00041 $0.01035
Sonnet 5 $0.00016 $0.00414
Haiku 4.5 $0.00008 $0.00207

Measured 8d ago against content hash 0e9f2151ff76, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

lark-wiki scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

97% identical to lark-wiki — 5 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

resources/skills/managed/lark-wiki/SKILL.md · 112 lines

How it starts

The opening of the file, as written. The whole thing — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.

wiki (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

成员管理硬限制:

  • 如果目标是“部门”,先判断身份,再决定是否继续。
  • --as bot 对应 tenant_access_token。官方限制:这种身份下不能使用部门 ID (opendepartmentid) 添加知识空间成员。
  • 遇到“部门 + --as bot”时,禁止先调用 lark-cli wiki members create 试错;直接说明该路径不可行。
  • 如果用户明确要求“以 bot 身份运行”,且目标是部门,必须停下说明 bot 路径无法完成,不要静默切到 --as user

身份选择:优先使用 user 身份

知识空间和节点都是用户的个人资源,策略上应优先显式使用 --as user(CLI 的 --as 默认值为 auto,不带 --as 时常被解析成 bot,列出的是应用所属空间而非用户的)。仅当用户明确要求“应用 / bot 视角”时才用 --as bot(仍受上面的成员管理硬限制约束)。

快速决策

  • 用户给的是知识库 URL(.../wiki/<token>),且后续要查成员/加成员/删成员:先调用 lark-cli wiki spaces get_node --params '{"token":"<wiki_token>"}' 获取 space_id,后续成员接口统一使用 space_id
  • 用户要删除知识空间(wiki +delete-space)但只给了名称或 URL:不能把名称 / URL 原样传给 --space-id,必须先解析出真实 space_id。解析方式:
    • URL(.../wiki/<token>):lark-cli wiki spaces get_node --params '{"token":"<wiki_token>"}' --format json,读 data.node.space_id
    • 只知名称:lark-cli wiki spaces list --format json,边翻页边收集 items 并按 name 精确匹配;一旦任一页累计到至少 1 条精确匹配就停止翻页。只有当翻完所有页(has_more=false)仍无精确匹配时,才对已收集的全量 items 做宽松匹配(name trim 空格、大小写不敏感、子串包含)。
    • 关键安全约束:无论精确还是模糊,无论命中 1 条还是多条,发起删除前都必须把候选(name + space_id + description + space_type)列给用户,由用户明确选定一个 space_id 再执行。不要因为"只命中一条"就自动执行删除。
    • 命中 0 条:停下来问用户是名称拼错了还是调用方无权限;不要自行改名字重试。
    • 用户明确选定后再执行 lark-cli wiki +delete-space --space-id <ID> --yes(高风险写操作,必须显式 --yes)。
  • 用户要在知识库中创建新节点,优先使用 lark-cli wiki +node-create
  • 用户说“给知识库添加成员/管理员”:先把目标解析成“用户 / 群 / 部门”三类之一,再决定 member_type,不要先调 wiki members create 再根据报错反推类型。
  • 用户说“部门 + bot”:这是已知不支持路径。不要继续尝试 wiki members create --as bot;直接提示必须改成 --as user,或明确告知当前要求无法完成。
  • 用户说“用户 / 群 + 添加成员”:先解析对应 ID,再执行 wiki members create

成员添加流程

  • 调用 lark-cli wiki members create 前,先把自然语言里的“人 / 群 / 部门”解析成正确的 member_id,不要猜格式。
  • 用户场景默认优先 member_type=openid:用 lark-cli contact +search-user --query "<姓名/邮箱/手机号>" --format json 获取 open_id
  • 群组场景使用 member_type=openchat:用 lark-cli im +chat-search --query "<群名关键词>" --format json 获取 chat_id
  • userid / unionid 只在下游明确要求时才使用;先拿到 open_id,再调用 lark-cli api GET /open-apis/contact/v3/users/<open_id> --params '{"user_id_type":"open_id"}' --format json 读取 user_id / union_id
  • 部门场景使用 member_type=opendepartmentid:当前 CLI 没有 shortcut,需调用 lark-cli api POST /open-apis/contact/v3/departments/search --as user --params '{"department_id_type":"open_department_id"}' --data '{"query":"<部门名>"}' 获取 open_department_id
  • 只有在目标类型和身份都已确认可行后,才调用 lark-cli wiki members create。对于部门场景,这意味着必须是 --as user

Read the full file on GitHub · 112 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 112 lines · 81 tokens per session scan A 0e9f2151ff76

Subscribe to this mod's changes

lark-wiki is a skill published in the GitHub repository yokingma/weclaws (38 stars, last pushed 3mo ago), licensed MIT. It adds 81 tokens to every session and 2,070 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to lark-wiki, differing in 5 lines, and is treated as a copy.

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