lark-shared

lark-shared is a skill for Claude Code, Codex from fanfan-de/anybox. It costs 48 tokens per session (1,731 once invoked), scanned A, a copy of lark-shared, MIT.

Shared setup and safety instructions for using lark-cli with Feishu resources. It covers configuration, sign-in, switching between user and bot identities, and handling access errors.

In plain words
What is it for?
Use it when setting up lark-cli, logging in, changing identities, fixing permission or scope errors, or updating the tool.
Why use it?
It helps prevent using the wrong identity or getting stuck when an API request lacks the required permission.

Skill for Claude CodeCodex

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

Good fit Use it when setting up lark-cli, logging in, changing identities, fixing permission or scope errors, or updating the tool.

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Install with agentmods
npx agentmods add skills/fanfan-de/anybox/lark-shared
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 fanfan-de/anybox --skill lark-shared
Clone the repo
git clone --depth 1 https://github.com/fanfan-de/anybox

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 lark-shared

README.md
[![agentmods](https://agentmods.dev/badge/skills/fanfan-de/anybox/lark-shared/github.svg)](https://agentmods.dev/skills/fanfan-de/anybox/lark-shared)
Your own site
<a href="https://agentmods.dev/skills/fanfan-de/anybox/lark-shared"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/lark-shared/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 lark-shared

Your own site · 80×15
<a href="https://agentmods.dev/skills/fanfan-de/anybox/lark-shared"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/lark-shared.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,731 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 86% copy Near-identical to another mod 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 $0.00048 $0.01731
Opus 5 $0.00024 $0.00865
Sonnet 5 $0.00010 $0.00346
Haiku 4.5 $0.00005 $0.00173

Measured 7d ago against content hash 62b3386d909d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

lark-shared 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.

Origin

This is a copy

86% identical to lark-shared — 15 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/Anybox-Plugins/feishu-cli/skills/lark-shared/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

lark-cli 共享规则

本技能指导你如何通过lark-cli操作飞书资源, 以及有哪些注意事项。

配置初始化

首次使用需运行 lark-cli config init 完成应用配置。

当你帮用户初始化配置时,使用background方式使用下面的命令发起配置应用流程,启动后读取输出,从中提取授权链接并发给用户。

URL 转发规则:当命令输出 verification_urlverification_uri_completeconsole_url 等 URL 字段时,必须将 URL exactly as returned by the CLI 转发给用户,并把它视为不可修改的 opaque string;不要做 URL encode/decode,不要补 %20、空格或标点,不要重新拼接 query,不要改写成 Markdown link text,建议用只包含原始 URL 的代码块单独输出。

# 发起配置(该命令会阻塞直到用户打开链接并完成操作或过期)
lark-cli config init --new

认证

身份类型

两种身份类型,通过 --as 切换:

身份 标识 获取方式 适用场景
user 用户身份 --as user lark-cli auth login 访问用户自己的资源(日历、云空间等)
bot 应用身份 --as bot 自动,只需 appId + appSecret 应用级操作,访问bot自己的资源

身份选择原则

输出的 [identity: bot/user] 代表当前身份。bot 与 user 表现差异很大,需确认身份符合目标需求:

  • Bot 看不到用户资源:无法访问用户的日历、云空间文档、邮箱等个人资源。例如 --as bot 查日程返回 bot 自己的(空)日历
  • Bot 无法代表用户操作:发消息以应用名义发送,创建文档归属 bot
  • Bot 权限:只需在飞书开发者后台开通 scope,无需 auth login
  • User 权限:后台开通 scope + 用户通过 auth login 授权,两层都要满足

权限不足处理

遇到权限相关错误时,根据当前身份类型采取不同解决方案

错误响应中包含关键信息:

  • permission_violations:列出缺失的 scope (N选1)
  • console_url:飞书开发者后台的权限配置链接
  • hint:建议的修复命令
Bot 身份(--as bot

将错误中的 console_url 原样提供给用户,引导去后台开通 scope。禁止对 bot 执行 auth login

User 身份(--as user
lark-cli auth login --domain <domain>           # 按业务域授权
lark-cli auth login --scope "<missing_scope>"   # 按具体 scope 授权(推荐,符合最小权限原则)

规则:auth login 必须指定范围(--domain--scope)。多次 login 的 scope 会累积(增量授权)。

Agent 代理发起认证(推荐)

当你作为 AI agent 需要帮用户完成认证时,优先使用 split-flow,避免在同一轮对话中阻塞等待用户授权:

# 发起授权(立即返回 device_code 和 verification_url)
lark-cli auth login --scope "calendar:calendar:readonly" --no-wait --json

拿到 verification_url 后,将它原样作为本轮最终消息发给用户,并结束本轮/交还控制权。不要在同一轮中展示 URL 后立刻执行 --device-code 阻塞轮询;在不透传中间输出的 agent harness 里,这会导致用户永远看不到 URL。

用户回复已完成授权后,再在后续步骤执行:

lark-cli auth login --device-code <device_code>

更新检查

lark-cli 命令执行后,如果检测到新版本,JSON 输出中会包含 _notice.update 字段(含 messagecommand 等)。

Read the full file on GitHub · 145 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 · 145 lines · 48 tokens per session scan A 62b3386d909d

Subscribe to this mod's changes

lark-shared is a skill published in the GitHub repository fanfan-de/anybox (57 stars, last pushed 28d ago), licensed MIT. It adds 48 tokens to every session and 1,731 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 86% identical to lark-shared, differing in 15 lines, and is treated as a copy.