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Feishu Attendance Check-in Lookup

Lets an agent look up your own Feishu (Lark) attendance check-in records via the lark-cli tool.

Source Download skill
Repository
larksuite/cli
Stars
17,928
Licence
MIT
Files
1 file

What it does

This skill teaches an AI agent how to query the attendance check-in records of the signed-in user in Feishu (Lark), the workplace app from ByteDance. Once installed, the agent can call the lark-cli command-line tool to fetch those records instead of you navigating the app yourself. It is limited to reading your own records through one operation, and it tells the agent to fill in certain request fields automatically rather than asking you.

Great for

  • Employees at companies using Feishu/Lark who want to check their own clock-in and clock-out history quickly
  • Developers building or testing attendance-related workflows on the Lark CLI

Skip it if

  • Viewing or managing other people's attendance, since the skill only covers the signed-in user's own records and needs the readonly attendance scope to work at all
  • Anyone without Feishu/Lark access or without the lark-cli tool installed, because the skill cannot run without them

Try asking

  • “Show me my attendance check-in records for this month”
  • “Did I clock in on time last Monday?”
  • “List my attendance punches between two dates”
Step-by-step guide: how to use Feishu Attendance Check-in LookupInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    lark-attendance.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip lark-attendance.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip lark-attendance.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Make sure lark-cli is installed and logged in with your Feishu account before asking, since authorization is handled by the shared skill.
  • Ask for a specific date range to keep results focused; the agent should check the command schema rather than guessing field formats.
  • Review the shared lark-shared skill's authentication notes first, as this skill depends on it for permissions.

What's inside

  • SKILL.md

Redistributed unmodified from larksuite/cli under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.