lark-wiki

lark-wiki is a skill for Claude Code, Codex from seaworld008/Commonly-used-high-value-skills. It costs 55 tokens per session (3,725 once invoked), scanned A, a copy of lark-wiki, MIT.

A skill for managing Lark’s knowledge base, a shared space for organizing documents and links in a hierarchy.

In plain words
What is it for?
Use it to find or create knowledge spaces, manage members, browse document trees, and move or copy knowledge-base nodes.
Why use it?
It helps keep team information findable by handling spaces, members, document nodes, and their positions in the structure.

Skill for Claude CodeCodex

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

Good fit Use it to find or create knowledge spaces, manage members, browse document trees, and move or copy knowledge-base nodes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/seaworld008/commonly-used-high-value-skills/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 seaworld008/Commonly-used-high-value-skills --skill lark-wiki
Clone the repo
git clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-skills

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/seaworld008/commonly-used-high-value-skills/lark-wiki/github.svg)](https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/lark-wiki)
Your own site
<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/lark-wiki"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/lark-wiki/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for lark-wiki

Your own site · 80×15
<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/lark-wiki"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/lark-wiki.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,725 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 94% 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 $0.00055 $0.03725
Opus 5 $0.00028 $0.01862
Sonnet 5 $0.00011 $0.00745
Haiku 4.5 $0.00006 $0.00373

Measured 5d ago against content hash e4cd33a82548, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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 5d 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

94% identical to lark-wiki — 45 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.

openclaw-skills/lark-wiki/SKILL.md · 158 lines

How it starts

The opening of the file, as written. The whole thing — 158 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 +member-add 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

  • 用户要按特定主题 / 关键词 / 内容线索查找资料并收集到知识库节点或新建知识库节点下,必须先阅读 ../lark-drive/references/lark-drive-workflow.md,再按其中 Workflow Registry 进入 topic_move_collector workflow。该 workflow 使用 Drive 全量搜索召回,再按 Wiki 目标解析、确认和移动;不要只用 Wiki 节点列表做局部遍历。
  • 用户要整理 / 盘点 / 归类 / 重构知识库、个人文档库、文档库目录或 Wiki 节点结构,或要生成整理方案、目标目录树、移动计划时,不要只使用 Wiki 节点 API。必须先阅读 ../lark-drive/references/lark-drive-workflow.md,再按其中 Workflow Registry 进入 knowledge_organize workflow;该 workflow 负责 Drive / Wiki / 个人文档库的统一入口解析、资源盘点、分类计划、写前确认和结果验证。
  • 用户要把已有 Wiki 节点移出知识库,放到 Drive 文件夹或“我的空间”根目录:使用 wiki +move-to-drive,不要使用 wiki +movedrive +move。这是会改变节点归属和权限继承的写操作,执行前确认源节点与目标位置。
  • 用户给的是知识库 URL(.../wiki/<token>),且后续要查成员/加成员/删成员:先确定下游成员操作的身份(默认 user;用户明确要求应用 / bot 视角时用 bot),再调用 lark-cli wiki +node-get --node-token '<wiki_url>' --as user --format json,从 data.space_id 获取空间 ID;下游使用 bot 时将示例中的身份改为 --as bot。节点解析与后续成员操作必须使用相同身份。
  • 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>):先确定后续 wiki +delete-space 的身份(默认 user;明确要求 bot 视角时用 bot),再调用 lark-cli wiki +node-get --node-token '<wiki_url>' --as user --format json,读取 data.space_id;下游使用 bot 时将示例中的身份改为 --as bot。解析和删除必须使用相同身份。
    • 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)。
    • 反例:不要把 wiki URL / 名称直接当 --space-id(如 --space-id "https://.../wiki/<wiki_token>");务必先用 wiki +node-get 解析出 data.space_id 再传。
  • 用户要在知识库中创建新节点,优先使用 lark-cli wiki +node-create
  • 用户要原地重命名 Wiki 节点 / 修改节点标题:使用 lark-cli drive +update-title --url '<wiki_url>' --title '<new_title>'。该命令保留同一个 node_token,并会根据 API 返回给出准确的缺失 scope 和授权提示;不要探索 raw wiki.nodesupdate_title 端点,也不要通过复制或新建第二个节点实现改名。
  • 用户要列出 Wiki 节点:先用 wiki +space-list --as user 拿数字 space_id,再用 wiki +node-list --space-id <space_id>。不要把 wiki URL、node token、doc token、名称直接当 --space-id。钻子节点时 --parent-node-token 必须是 wiki node token;如果用户给的是 docx/sheet/base URL,先用 wiki +node-get --node-token <url> 解析出 node_token
  • wiki +node-list 命中 invalid_parametersnot_foundpermission_denied 时,不要重复调用同一参数;按 hint 修 space_id / parent_node_token / 权限。只有 rate_limit 才做退避重试。
  • 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 / 应用”四类之一,再决定 --member-type,不要先调 wiki +member-add 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 +member-add --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 / 应用 + 添加成员”:先解析对应 ID,再执行 wiki +member-add
  • 用户说“查看 / 列出空间成员”:用 wiki +member-list;该 shortcut 默认只取一页,多成员场景显式加 --page-all
  • 用户说“移除 / 删除空间成员”:用 wiki +member-remove,必须传齐原始授予时的 --member-type--member-role(不知道就先 wiki +member-list 查一下)。

Read the full file on GitHub · 158 lines

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. 5d ago Changed · -114 tokens per session e4cd33a82548
  2. 9d ago First seen · 158 lines · 169 tokens per session scan A 647f13efc8ec

Subscribe to this mod's changes

lark-wiki is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (70 stars, last pushed 5d ago), licensed MIT. It adds 55 tokens to every session and 3,725 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to lark-wiki, differing in 45 lines, and is treated as a copy.