feishu-task

feishu-task is a skill for Claude Code, Codex from larksuite/openclaw-lark. It costs 162 tokens per session (3,176 once invoked), scanned A, original, MIT.

A guide for managing tasks and to-do lists in Lark, also called Feishu, a workplace collaboration service.

In plain words
What is it for?
Use it to manage personal or team work items, task lists, assignees, followers, due dates, progress steps, and task files.
Why use it?
It describes how to create, find, update, complete, and organize tasks, including people, deadlines, steps, and attachments. It also explains the required identifiers and time formats.

Skill for Claude CodeCodex

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

Good fit Use it to manage personal or team work items, task lists, assignees, followers, due dates, progress steps, and task files.

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Install with agentmods
npx agentmods add skills/larksuite/openclaw-lark/feishu-task
About the project

OpenClaw Lark/Feishu Plugin connects an OpenClaw agent to Lark or Feishu workspaces, allowing it to work with messages, documents, databases, spreadsheets, calendars, and tasks. It is for OpenClaw users who want their agent to read and update Lark/Feishu workspace data. The catalogue skills provide the agent workflows for operating those connected workspace features.

larksuite/openclaw-lark · 2,373 stars · on GitHub

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 larksuite/openclaw-lark --skill feishu-task
Clone the repo
git clone --depth 1 https://github.com/larksuite/openclaw-lark

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 feishu-task

README.md
[![agentmods](https://agentmods.dev/badge/skills/larksuite/openclaw-lark/feishu-task.svg)](https://agentmods.dev/skills/larksuite/openclaw-lark/feishu-task)
Your own site
<a href="https://agentmods.dev/skills/larksuite/openclaw-lark/feishu-task"><img src="https://agentmods.dev/badge/skills/larksuite/openclaw-lark/feishu-task.svg" alt="Measured on agentmods" height="20"></a>
Per session 162 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,176 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found 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 $0.00162 $0.03176
Opus 5 $0.00081 $0.01588
Sonnet 5 $0.00032 $0.00635
Haiku 4.5 $0.00016 $0.00318

Measured 7d ago against content hash b0ea996965ab, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

feishu-task 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 7d 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.

skills/feishu-task/SKILL.md · 341 lines

How it starts

The opening of the file, as written. The whole thing — 341 lines — stays where its author put it; the contents beside it link to each section on GitHub.

飞书任务管理

🚨 执行前必读

  • 时间格式:ISO 8601 / RFC 3339(带时区),例如 2026-02-28T17:00:00+08:00
  • 身份授权:工具支持 auth_typeuser(默认,用户身份)或 tenant(应用身份)。
  • 任务 Agent(feishu_task_agent):仅支持应用身份(tenant),不支持 user 身份
  • current_user_id 强烈建议:从消息上下文的 SenderId 获取(ou_...),工具会自动添加为 follower(如不在 members 中),确保创建者可以编辑任务
  • patch/get 必须:task_guid
  • tasklist.tasks 必须:tasklist_guid
  • 完成任务:completed_at = "2026-02-26 15:00:00"
  • 反完成(恢复未完成):completed_at = "0"
  • append_steps 的 task_steps[].timestamp:秒级 Unix 时间戳(10 位),不要用毫秒(13 位)

📋 快速索引:意图 → 工具 → 必填参数

用户意图 工具 action 必填参数 强烈建议 常用可选
新建待办 feishu_task_task create summary current_user_id(SenderId) members, due, description, auth_type
查未完成任务 feishu_task_task list - completed=false page_size, auth_type, agent_task_status
获取任务详情 feishu_task_task get task_guid - auth_type
完成任务 feishu_task_task patch task_guid, completed_at - auth_type
反完成任务 feishu_task_task patch task_guid, completed_at="0" - auth_type
改截止时间 feishu_task_task patch task_guid, due - auth_type
添加任务成员 feishu_task_task add_members task_guid, members[] - auth_type
追加任务步骤记录 feishu_task_task append_steps task_guid, idempotent_key, task_steps[] task_steps[].timestamp 用秒级(10 位) -
创建清单 feishu_task_tasklist create name - members
查看清单任务 feishu_task_tasklist tasks tasklist_guid - completed
添加清单成员 feishu_task_tasklist add_members tasklist_guid, members[] - -
上传任务附件 feishu_task_attachment upload resource_id, file(base64) name resource_type
注册任务 Agent feishu_task_agent register - 仅支持 tenant(应用身份) -
更新任务 Agent Profile feishu_task_agent update_profile profile_content 仅支持 tenant(应用身份) -

🎯 核心约束(Schema 未透露的知识)

1. 授权身份与可见性 (auth_type)

工具支持两种调用身份 auth_type

  • user (默认):用户身份(user_access_token)。用于需要严格代表用户操作或查询用户私有任务的场景。
    • ⚠️ 使用 user 身份时,只能查看和编辑自己是成员的任务
    • ⚠️ 如果创建时没把自己加入成员,后续无法编辑该任务
  • tenant:应用身份(tenant_access_token)。当用户身份不满足要求时,使用应用身份。如果创建的任务没有把用户加入成员,用户可能看不见。

Read the full file on GitHub · 341 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. 7d ago First seen · 341 lines · 162 tokens per session scan A b0ea996965ab

Subscribe to this mod's changes

feishu-task is a skill published in the GitHub repository larksuite/openclaw-lark (2,373 stars, last pushed 1mo ago), licensed MIT. It adds 162 tokens to every session and 3,176 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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