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.
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.
npx skills add larksuite/openclaw-lark --skill feishu-taskgit clone --depth 1 https://github.com/larksuite/openclaw-larkWrote 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.
[](https://agentmods.dev/skills/larksuite/openclaw-lark/feishu-task)<a href="https://agentmods.dev/skills/larksuite/openclaw-lark/feishu-task"><img src="https://agentmods.dev/badge/skills/larksuite/openclaw-lark/feishu-task/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.
<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="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00162 | $0.03176 |
| Opus 5.5 | $0.00065 | $0.01270 |
| Sonnet 5.5 | $0.00032 | $0.00635 |
| Haiku 4.5 | $0.00016 | $0.00318 |
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 1mo 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.
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_type为user（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。
- ⚠️ 使用
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。
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.
- 1mo ago First seen · 341 lines · 162 tokens per session scan A b0ea996965ab
feishu-task is a skill published in the GitHub repository larksuite/openclaw-lark (2,375 stars, last pushed 3mo ago), licensed MIT. It adds 162 tokens to every session and 3,176 once invoked, about $0.0006 per session on Opus 5.5. 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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