feishu-task

feishu-task is a skill for Claude Code, Codex from m1heng/clawdbot-feishu. It costs 42 tokens per session (1,583 once invoked), scanned A, original, MIT.

A set of tools for managing Feishu tasks, task lists, subtasks, comments, and attachments. Feishu is a workplace collaboration platform with task and document features.

In plain words
What is it for?
Use it to create, read, update, or delete tasks and subtasks; manage task lists and members; and add, inspect, or remove comments and attachments.
Why use it?
It avoids switching between separate Feishu screens or manually copying task details when organizing work. It also helps ensure newly created tasks have an assignee.

Skill for Claude CodeCodex

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

Good fit Use it to create, read, update, or delete tasks and subtasks; manage task lists and members; and add, inspect, or remove comments and attachments.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/m1heng/clawdbot-feishu/feishu-task
About the project

clawd-feishu is a channel plugin that connects OpenClaw to Feishu/Lark, a collaboration and messaging platform. OpenClaw users use it to interact with the agent through Feishu or Lark.

m1heng/clawdbot-feishu · 4,245 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 m1heng/clawdbot-feishu --skill feishu-task
Clone the repo
git clone --depth 1 https://github.com/m1heng/clawdbot-feishu

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/m1heng/clawdbot-feishu/feishu-task/github.svg)](https://agentmods.dev/skills/m1heng/clawdbot-feishu/feishu-task)
Your own site
<a href="https://agentmods.dev/skills/m1heng/clawdbot-feishu/feishu-task"><img src="https://agentmods.dev/badge/skills/m1heng/clawdbot-feishu/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.

agentmods 80×15 button for feishu-task

Your own site · 80×15
<a href="https://agentmods.dev/skills/m1heng/clawdbot-feishu/feishu-task"><img src="https://agentmods.dev/badge/skills/m1heng/clawdbot-feishu/feishu-task.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,583 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Rogue Agent · line 109
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 $0.00042 $0.01583
Opus 5 $0.00021 $0.00792
Sonnet 5 $0.00008 $0.00317
Haiku 4.5 $0.00004 $0.00158

Measured 11d ago against content hash 8d821542e84c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, 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 11d 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 · 211 lines

How it starts

The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feishu Task Tools

Tools:

  • feishu_task_create
  • feishu_task_subtask_create
  • feishu_task_get
  • feishu_task_update
  • feishu_task_delete
  • feishu_task_comment_create
  • feishu_task_comment_list
  • feishu_task_comment_get
  • feishu_task_comment_update
  • feishu_task_comment_delete
  • feishu_task_attachment_upload
  • feishu_task_attachment_list
  • feishu_task_attachment_get
  • feishu_task_attachment_delete
  • feishu_task_add_tasklist
  • feishu_task_remove_tasklist
  • feishu_tasklist_create
  • feishu_tasklist_get
  • feishu_tasklist_list
  • feishu_tasklist_update
  • feishu_tasklist_delete
  • feishu_tasklist_add_members
  • feishu_tasklist_remove_members

Notes

  • task_guid can be taken from a task URL (guid query param) or from feishu_task_get output.
  • comment_id can be obtained from feishu_task_comment_list output.
  • attachment_guid can be obtained from feishu_task_attachment_list output.
  • user_id_type controls returned/accepted user identity type (open_id, user_id, union_id).
  • If no assignee is specified, set the assignee to the requesting user. Avoid creating unassigned tasks because the user may not be able to view them.
  • Task visibility: users can only view tasks when they are included as assignee.
  • Current limitation: the bot can only create subtasks for tasks created by itself.
  • Attachment upload supports local file_path and remote file_url. Remote URLs are fetched with runtime media safety checks and size limit (mediaMaxMb).
  • Keep tasklist owner as the bot. Add users as members to avoid losing bot access.
  • Use tasklist tools for tasklist membership changes; do not use feishu_task_update to move tasks between tasklists.

Create Task

{
  "summary": "Quarterly review",
  "description": "Prepare review notes",
  "due": { "timestamp": "1735689600000", "is_all_day": true },
  "members": [
    { "id": "ou_xxx", "role": "assignee", "type": "user" }
  ],
  "user_id_type": "open_id"
}

Create Subtask

Read the full file on GitHub · 211 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. 11d ago First seen · 211 lines · 42 tokens per session scan A 8d821542e84c

Subscribe to this mod's changes

feishu-task is a skill published in the GitHub repository m1heng/clawdbot-feishu (4,245 stars, last pushed 5mo ago), licensed MIT. It adds 42 tokens to every session and 1,583 once invoked, about $0.0002 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 2026-08-30.

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