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 davidtoby/agent-skills --skill lark-sharedgit clone --depth 1 https://github.com/davidtoby/agent-skillsWrote 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/davidtoby/agent-skills/lark-shared)<a href="https://agentmods.dev/skills/davidtoby/agent-skills/lark-shared"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/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.
<a href="https://agentmods.dev/skills/davidtoby/agent-skills/lark-shared"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/lark-shared.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00049 | $0.02978 |
| Opus 5.5 | $0.00020 | $0.01191 |
| Sonnet 5.5 | $0.00010 | $0.00596 |
| Haiku 4.5 | $0.00005 | $0.00298 |
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 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- lark-shared — 88% identical, 220 lines differ
How it starts
The opening of the file, as written. The whole thing — 212 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_url、verification_uri_complete、console_url 等 URL 字段时：必须生成二维码：你必须调用 lark-cli auth qrcode 将 URL 转为二维码并展示给用户，这是必须步骤，不要跳过。优先生成 PNG 二维码（--output）；仅当用户明确要求时才使用 ASCII（--ascii）。URL 输出规则：将 URL 视为不可修改的 opaque string，不要做任何修改（包括 URL 编码/解码、添加空格或标点、重新拼接 query），二维码和链接请一起展示给用户。
# 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
认证任务速查
认证、scope、业务域、登录态、退出登录态、撤销授权问题都走本技能。
| 用户意图 | 首选命令 / 回答 |
|---|---|
| 获取全部权限 | lark-cli auth login --domain all --no-wait --json |
| 按业务域授权 | lark-cli auth login --domain docs --domain drive --no-wait --json；--domain 可重复，也可用逗号分隔 |
| 指定单个 scope 授权 | lark-cli auth login --scope "<scope>" --no-wait --json |
| 检查当前登录态、是谁登录、token 是否有效 | lark-cli auth status --json --verify；回答时引用 identity、verified、identities.user.status、identities.user.userName、identities.user.openId（用户 open id）、identities.user.tokenStatus、identities.user.scope |
| 快速查看当前身份状态 | lark-cli whoami；实际生效的那一个身份 |
| 退出当前机器的用户登录态 | lark-cli auth logout --json；loggedOut:true 表示注销成功 |
| bot 缺少权限 | 不要执行 auth login；引导用户在开发者后台开通 bot scope，优先复用错误里的 console_url |
| 取消用户对应用的全部服务端授权 | auth logout 只清本机登录态；服务端授权需用户在飞书授权管理页取消 |
| 只取消一个 scope | CLI 不支持单独撤销一个已授予 scope；可重新走最小 scope 授权，或让用户在授权管理页处理 |
机器读取 JSON 时，为减少 _notice 干扰，可在命令前加：
LARKSUITE_CLI_NO_UPDATE_NOTIFIER=1 LARKSUITE_CLI_NO_SKILLS_NOTIFIER=1 lark-cli auth status --json --verify
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 等 |
访问用户自己的资源（日历、云空间/云盘/云存储等） |
| 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（云盘/云存储）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
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.
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.
- 2mo ago First seen · 212 lines · 49 tokens per session scan A 036e6fe4f45e
lark-shared is a skill published in the GitHub repository davidtoby/agent-skills (11 stars, last pushed 2d ago), licensed MIT. It adds 49 tokens to every session and 2,978 once invoked, about $0.0002 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 2026-09-03.
lark-shared compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| lark-shareddavidtoby/agent-skills | Skill | 11 | 2d ago | MIT | A | 49 | Claude Code, Codex |
| morph-pptiOfficeAI/OfficeCLI | Skill | 33k | 9d ago | Apache-2.0 | A | 169 | Claude Code, Codex |
| officecli-academic-paperiOfficeAI/OfficeCLI | Skill | 33k | 9d ago | Apache-2.0 | A | 141 | Claude Code, Codex |
| officecliiOfficeAI/OfficeCLI | Skill | 33k | 9d ago | Apache-2.0 | A | 56 | Claude Code, Codex |
| afrexai-performance-engineeringLeoYeAI/openclaw-master-skills | Skill | 2.2k | 2d ago | MIT | A | 71 | Claude Code, Codex |
| agent-anti-false-completionLeoYeAI/openclaw-master-skills | Skill | 2.2k | 2d ago | MIT | A | 96 | Claude Code, Codex |
| windbg-kernel-bugcheck-triagemicrosoft/win-dev-skills | Skill | 498 | 5d ago | MIT | A | 50 | Claude Code |