lark-base

lark-base is a skill for Claude Code, Codex from davidtoby/agent-skills. It costs 84 tokens per session (6,489 once invoked), scanned A, original, MIT.

A tool for managing Feishu Base, a cloud database-like workspace for tables, views, forms and dashboards. It supports records, fields, formulas, permissions and workflows within that workspace.

In plain words
What is it for?
Use it to create or modify tables, fields, records, views, forms, dashboards, formulas, statistics, workflows and access roles.
Why use it?
It lets an agent organise and update structured business data in Feishu instead of handling each table operation manually.

Skill for Claude CodeCodex

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

Good fit Use it to create or modify tables, fields, records, views, forms, dashboards, formulas, statistics, workflows and access roles.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/davidtoby/agent-skills/lark-base
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 davidtoby/agent-skills --skill lark-base
Clone the repo
git clone --depth 1 https://github.com/davidtoby/agent-skills

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-base

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/davidtoby/agent-skills/lark-base"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/lark-base.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,489 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 $0.00084 $0.06489
Opus 5 $0.00042 $0.03245
Sonnet 5 $0.00017 $0.01298
Haiku 4.5 $0.00008 $0.00649

Measured 7d ago against content hash 757a5761e418, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

lark-base 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

Copies of this mod

1 near-identical copy found in the catalogue:

  • lark-base — 97% identical, 16 lines differ
skills/lark-base/SKILL.md · 173 lines

How it starts

The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.

base

何时使用

使用本 skill:

  • 用户明确提到 Base / 多维表格 / bitable,或给出 /base/ 链接。
  • 用户要在 Base 内建表、改表、管理字段、写记录、查记录、配视图。
  • 用户要在 Base 内做公式字段、lookup 字段、跨表计算、派生指标、筛选聚合、TopN、统计分析。
  • 用户要管理 Base 表单、仪表盘、workflow、高级权限或角色。
  • 用户要把旧 Base 聚合式命令或旧写法迁移到当前 lark-cli base +... shortcut。

不要使用本 skill:

  • 只是认证、初始化配置、切换身份、处理 scope 或权限授权恢复,转 lark-shared
  • 把本地文件导入成 Base,或将 Base 导出为本地文件,转 lark-drive
  • 泛化数据分析、字段设计、公式讨论,但没有 Base/多维表格上下文。

使用边界

  • Base 业务操作只使用 lark-cli base +... shortcut,不使用旧聚合式 +table / +field / +record / +view / +history / +workspace
  • 执行 update 前必须先查当前 shortcut 的 --help 或对应 reference。若命令要求完整配置,首次请求必须基于可信的当前配置执行 read-modify-write:只修改用户明确指定的内容,保留其他仍适用的可写配置,并按命令要求的结构提交。若命令支持局部/delta update,按其契约提交最小合法 payload;不得以不完整请求试错补参。
  • Base CLI/OpenAPI 当前不支持视图行高、冻结列、列宽等 UI-only 外观设置。遇到这类需求,说明能力边界并停止,不要猜测未文档化参数或改走 raw API。
  • 本地文件与 Base 之间的导入/导出转 lark-drive,具体格式、参数、路径限制和仅结构导出规则由 lark-drive 负责;导入完成后再回到 Base 命令。
  • 在线复制 Base 使用 +base-copy,不要绕行导出/导入。
  • 认证、初始化、scope、身份切换、权限不足恢复属于 lark-shared;Base 文档只保留会影响 Base 路径选择的权限规则。

先获取 Base Token 和所需 ID

进入任何需要目标 Base 的 shortcut 前,必须先拿到可用的 base_token,以及当前任务需要的 table_id / view_id / record_id / form_id / dashboard_id / workflow_id 等真实 ID;不要把完整 URL、wiki token、workspace token 或孤立 raw token 直接当作 --base-token

  • 用户输入 URL 或分享链接:先运行 lark-cli base +url-resolve --url "<url>" --as user,用返回的 base_token 和相关 ID 继续后续命令。
  • Base/Wiki URL 的 table= query 参数实际表示当前选中的顶层 block,可能是数据表、仪表盘或 workflow;不要按参数名自行当成 table_id。以 +url-resolve 返回的 block_type 以及 table_id / dashboard_id / workflow_id 为准;selection_source=url_query 只说明 URL 当前选中了该 block,不代表它覆盖用户明确点名的目标。若用户点名的 dashboard 与 block_name 不一致,先用 +dashboard-list 按名称匹配;若只返回中性 block_id,按 hint 用 +base-block-list 确认类型。
  • 用户输入 Base 标题、关键词或不确定名称:先运行 lark-cli base +title-resolve --title "<keyword>" --as user--title 传入标题中的短关键词,不超过 30 个字符;过长标题先取最有区分度的短关键词;多候选时先让用户消歧,不要猜。
  • 文档嵌入 Base 标签:直接读取 <bitable> / <base_refer>token 作为 --base-tokentable-id 作为 --table-idview-id 作为 --view-id;孤立 raw token 不走 +url-resolve
  • 仍无法定位且用户不是要新建 Base 时,先反问用户要操作哪一个 Base;用户要新建时才用 +base-create

Read the full file on GitHub · 173 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 · 173 lines · 84 tokens per session scan A 757a5761e418

Subscribe to this mod's changes

lark-base is a skill published in the GitHub repository davidtoby/agent-skills (10 stars, last pushed 1mo ago), licensed MIT. It adds 84 tokens to every session and 6,489 once invoked, about $0.0004 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 2026-09-03.

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