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[object Object]

[object Object] is a skill for Claude Code, Codex from kngwyc3/Agent-Learning-Hub. It costs 8 tokens per session (319 once invoked), scanned A, original, MIT.

A set of instructions for working with Feishu, also called Lark, a collaboration platform with documents, spreadsheets, calendars, messages, and databases. It explains how an agent should use its command-line and web APIs.

In plain words
What is it for?
Reading or changing Feishu documents, sheets, calendars, messages, and Base tables, while reporting resource IDs, links, and missing permissions.
Why use it?
It helps avoid authentication, permission, and resource-type mistakes when automating Feishu tasks.

Skill for Claude CodeCodex

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

not rated 147repo +1 4mo ago A scan 8 tokens original MIT

Good fit Reading or changing Feishu documents, sheets, calendars, messages, and Base tables, while reporting resource IDs, links, and missing permissions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kngwyc3/agent-learning-hub/lark-skill
View source ↗ kngwyc3/Agent-Learning-Hub datawhalechina.github.io
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 kngwyc3/Agent-Learning-Hub --skill lark-skill
Clone the repo
git clone --depth 1 https://github.com/kngwyc3/Agent-Learning-Hub

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 [object Object]

README.md
[![agentmods](https://agentmods.dev/badge/skills/kngwyc3/agent-learning-hub/lark-skill/github.svg)](https://agentmods.dev/skills/kngwyc3/agent-learning-hub/lark-skill)
Your own site
<a href="https://agentmods.dev/skills/kngwyc3/agent-learning-hub/lark-skill"><img src="https://agentmods.dev/badge/skills/kngwyc3/agent-learning-hub/lark-skill/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 [object Object]

Your own site · 80×15
<a href="https://agentmods.dev/skills/kngwyc3/agent-learning-hub/lark-skill"><img src="https://agentmods.dev/badge/skills/kngwyc3/agent-learning-hub/lark-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 8 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 319 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 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 $0.00008 $0.00319
Opus 5.5 $0.00003 $0.00128
Sonnet 5.5 $0.00002 $0.00064
Haiku 4.5 $0.00001 $0.00032

Measured 2mo ago against content hash c18eb3fc15bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

[object Object] 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 2mo 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.

stage-5/my-skill/templates/lark-skill/SKILL.md · 40 lines

What it actually says

Lark / Feishu Integration Skill

Use this skill when the user needs to interact with Feishu (Lark) APIs: docs, sheets, calendar, IM, or Base tables via lark-cli or Open API.

When To Use

  • The user mentions 飞书, Lark, lark-cli, 多维表格, 云文档, or Feishu bot workflows.
  • Tasks involve reading/writing Feishu resources, auth setup, or permission errors.
  • The user wants to automate Feishu workflows from an agent.

When Not To Use

  • The user needs generic HTTP API help unrelated to Feishu.
  • Required scopes or tenant admin approval are missing and cannot be obtained.

Steps

  1. Check lark-cli auth: lark-cli auth status (or guide user through lark-cli auth login).
  2. Identify resource type: doc, sheet, base, calendar, im, task.
  3. Read the matching lark-* skill for command patterns before calling APIs.
  4. Use --as user or --as bot consistently; handle Permission denied with scope checklist.
  5. Return structured results with resource IDs and links.

Output

  • Commands run (redact tokens).
  • Resource identifiers (doc_token, spreadsheet_token, etc.).
  • Next steps if permission or scope is missing.

Verification

  • No secrets in output.
  • Links use full https:// URLs.
  • Errors include actionable fix (scope name, admin approval path).
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 40 lines · 8 tokens per session scan A c18eb3fc15bc

Subscribe to this mod's changes

[object Object] is a skill published in the GitHub repository kngwyc3/Agent-Learning-Hub (147 stars, last pushed 4mo ago), licensed MIT. It adds 8 tokens to every session and 319 once invoked, about $0.0000 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 2026-08-30.

DocumentsProductivitySpreadsheets
Related

[object Object] compared with skills from other repositories

[object Object] next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
[object Object]kngwyc3/Agent-Learning-HubSkill1474mo agoMITA8Claude Code, Codex
google-workspaceNousResearch/hermes-agentSkill261kyesterdayMITA21Claude Code, Codex
gogopenclaw/openclawSkill394kyesterdayMITA20Claude Code, Codex
feishuHmbown/CodeWhaleSkill41k5d agoMITA33Claude Code, Codex
wecomcli-sheetWecomTeam/wecom-cliSkill3.3k4d agoMITA176Claude Code, Codex
gog-workspaceAtomicBot-ai/atomic-agentSkill3.4k8d agoMITA68Claude Code, Codex
googleworkspacelaude-institute/headlongSkill1.3kyesterdayApache-2.0A22Claude Code, Codex