dingtalk-aitable

dingtalk-aitable is a skill for Claude Code, Codex from DingTalk-Real-AI/dingtalk-workspace-cli. It costs 335 tokens per session (9,905 once invoked), scanned A, original, Apache-2.0.

A skill for working with DingTalk AI Tables, which are shared tables for storing, filtering, syncing, and viewing structured data. It uses the `dws` command-line tool to manage tables, records, fields, data sources, charts, dashboards, and attachments.

In plain words
What is it for?
Use it to create tables, add or update records, search and filter data, import or export CSV and JSON, manage attachments, configure data sources, trigger synchronisation, and check synchronisation status.
Why use it?
It gives a coding agent a defined way to read and change DingTalk table data without guessing commands, identifiers, accounts, or permissions. It also checks results after writes and handles ambiguous or risky actions carefully.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: names the TodoWrite tool.

Good fit Use it to create tables, add or update records, search and filter data, import or export CSV and JSON, manage attachments, configure data sources, trigger synchronisation, and check synchronisation status.

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Install with agentmods
npx agentmods add skills/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-aitable
About the project

DingTalk Workspace CLI is a cross-platform command-line tool that brings DingTalk’s product capabilities into one interface. It serves human users and AI agents working with DingTalk enterprise data, with administrator authorization required. Its catalogue add-ons provide agent skills for using the CLI’s product areas.

DingTalk-Real-AI/dingtalk-workspace-cli · 3,788 stars · on GitHub

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 DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-aitable
Clone the repo
git clone --depth 1 https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli

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 dingtalk-aitable

README.md
[![agentmods](https://agentmods.dev/badge/skills/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-aitable/github.svg)](https://agentmods.dev/skills/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-aitable)
Your own site
<a href="https://agentmods.dev/skills/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-aitable"><img src="https://agentmods.dev/badge/skills/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-aitable/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 dingtalk-aitable

Your own site · 80×15
<a href="https://agentmods.dev/skills/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-aitable"><img src="https://agentmods.dev/badge/skills/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-aitable.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 335 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,905 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00335 $0.09905
Opus 5.5 $0.00134 $0.03962
Sonnet 5.5 $0.00067 $0.01981
Haiku 4.5 $0.00034 $0.00991

Measured 5d ago against content hash 95c1f1448b44, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dingtalk-aitable 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 5d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/aitable_export_via_task.py, scripts/aitable_import_via_task.py, scripts/bulk_add_fields.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/multi/dingtalk-aitable/SKILL.md · 258 lines

How it starts

The opening of the file, as written. The whole thing — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.

钉钉 AI 表格 Skill

业务操作优先与契约评审边界

默认目标是完成用户明确提出的 AI 表格业务操作,包括查询、创建、更新、同步和其他已授权写入。契约评审是辅助场景,仅在用户明确要求核对合成 JSON、dry-run、参数合法性、Help/Schema 或恢复方案时启用;这类请求默认只读,不把评审要求扩展成线上业务操作。用户同时提出业务操作和契约核对时,先按真实业务目标执行必要的契约校验,再继续执行已明确授权的业务操作。

先区分操作、用法与契约评审

用户只要求评审返回值或恢复方案时,不执行业务操作,也不按业务任务扩展到上游写入命令。发现目标以用户原始消息为准,Agent 自行摘要或传入 Skill 的参数不是新增请求,不能将“核对该对账命令”改写成“比较对账与原创建命令”。保留用户正在核对的完整原子路径或 + Shortcut 名,不做同义替换。背景里提到的原创建命令不是额外发现目标。

只评审一个命令时,先取得一次该入口的 compact Schema,再依据本次结果回答;不要并行或顺序查询背景命令,也不要追加同义入口、完整 Schema 或 Help。未发布 result 时说明该结构未公开,不靠重复查询或示例推断字段。用户明确要求比较多个命令时,才分别查询各自契约。Help/Schema 是本机离线查询,“不要执行线上业务”不禁止它;用户明确禁止任何命令时则不查询,并说明契约未核对。

评审中用户要求下一步只读命令时,回答先给出有当前契约依据、使用原 ID/核对键的完整命令,并说明尚未执行;紧接着给出关键判断与禁止动作,再简要解释依据。不先展开工具过程、Schema 字段表或长篇引用,不把下一步埋在分析末尾;无法确定只读入口或参数时说明缺口,不能猜测。没有索要命令时,先用简短结论回答用户的全部安全问题:是否允许重放写入、哪些结果应保留或丢弃、只读恢复有什么前提,再按需解释;不能把关键禁止动作留到分节解释或末尾总结。明确区分本机离线契约核对、用户提供的回执和仍未验证的线上状态:本机 Schema 只能证明命令契约,不能证明业务已经执行或远端状态已经核实。

仅评审失效游标恢复时,读取 record-query 开头的“只评审失效游标恢复”段,集中说明丢弃旧结果、UNAVAILABLE 等待前提和禁止重放写入这三项边界;不转入该 Reference 后面的实际查询流程,也不从新旧结果差异推导补写许可。

以下意图路由优先于下方通用 Schema 导航。表单分享的用法询问与返回值评审不能共用发现路径:

请求意图 本次唯一契约查询
评审返回值、恢复方案、故障或 dry-run 样本 把正在核对的完整入口原样放入 dws schema --cli-path "aitable <原入口>" --compact --format json;保留 +,不改查 Help,也不切换原子/Shortcut
仅问原子 form share update 的写法 只查询 dws schema --cli-path "aitable form share update" --compact --format json
仅问 Shortcut 的写法 只查该 Shortcut 的 compact Schema

最小 DWS 执行契约

  • 钉钉业务操作只通过 dws CLI;本 Skill 明确发布的脚本可编排 dws 并完成预签名文件上传。结构化读取使用 --format json,按真实返回判断结果。
  • 已知 leaf 直接执行。只有参数或安全语义不确定时,最多读取一次 dws schema --cli-path "aitable <leaf>" --compact --format json;仅当该 compact leaf Schema 与 Cobra 实际不一致时,才读取同一 leaf 的 dws aitable <leaf> --help。禁止通过父级 Help、产品 Help 或完整 Catalog 探索命令。
  • 不猜命令、flag、字段、ID、账号或时间。后续 ID 必须来自真实返回;零命中、多候选或类型不明时停止并消歧。
  • 解析目标、读取上下文和最终执行必须使用同一 profile;不得跨组织复用 userId、openDingTalkId 或 openConversationId。多账号组织只使用明确的 isOrgCurrent=true 默认账号;没有默认账号时要求用户指定,禁止选择第一项、最近登录或最近使用账号。
  • 不输出或记录 token、refresh token、appSecret、webhook token 等凭据;宿主已注入认证时不要索要凭据。
  • 写操作必须符合用户明确意图。是否需要确认以最终 Runtime gate 和 Schema 为准;本轮用户已明确要求执行、目标与影响无歧义的非破坏性写操作时,该明确指令就是本次确认,首次调用直接携带 Runtime 所需的 --yes,不先制造 confirmation_required。文件导入是非幂等操作,仍按 Golden Route 先触发 Runtime 确认门禁,确认后再追加 --yes。删除、停用自动化等破坏性或高风险动作仍须先说明对象、动作与影响并取得独立确认。
  • 写后按任务结果契约验证;不能仅凭退出码宣称成功。部分结果、未知投递状态和失败项必须如实保留。
  • Runtime Schema 是当前能力与安全语义的权威来源;同一 leaf 任务内只读一次并复用。只有 Schema 缺字段、含义不清或与真实执行冲突时才读 leaf Help;版本、profile 变化或出现契约错误时立即作废缓存。
  • mutation 返回、HTTP 200 和退出码 0 都只是调用回执,不是最终对象状态。写后必须清除受影响的读取缓存,用返回的真实 ID/唯一键发起独立读回,不复用写前结果。
  • 同一 Base 的写入默认串行;只有不同 Base、无数据/ID/顺序依赖且失败可独立回读时,才允许受控并发写。无依赖只读调用默认最多 4 路并发。
  • 写调用超时、连接中断或返回结果未知时,禁止原样自动重放;先查真实状态。只读调用可对瞬态错误做有上限重试。
  • 结构化结果可能是统一 ok/outcome、旧 status 或 boolean success 信封;不固定假设 data 层级。partial_failure 可以在 stdout 中并返回退出码 7,必须先解析信封再判断执行结果。
  • 文件上传返回的 uploadUrl、token、authorization、signature 等是凭据;不输出、不写日志,结构化错误也要递归脱敏。
  • 时间戳面向用户展示时转换为带时区的可读时间;默认使用当前会话时区,必要时同时保留原值。
  • 遇到认证、权限、profile、confirmation 或未知错误时,只加载 dingtalk-shared 中对应 reference;不要连续猜测替代命令。

Read the full file on GitHub · 258 lines

Files

What ships with it

44 files 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. 5d ago Changed 95c1f1448b44
  2. 15d ago Changed 76f56bce0ede
  3. 19d ago Changed c2a501ba8426
  4. 21d ago Changed · +5 lines · +69 tokens per session 140ae7bff268
  5. 1mo ago Changed · +58 lines · +31 tokens per session c8ce0d89ca93
  6. 1mo ago Changed 11a3f5900c32
  7. 1mo ago Changed 9c0d486a86f1
  8. 1mo ago Changed · +19 lines 01075a0c0e8e
  9. 1mo ago Changed · +17 lines · +12 tokens per session eb3c8fdbd082
  10. 1mo ago First seen · 159 lines · 223 tokens per session scan A 3a1b672ccb4e

Subscribe to this mod's changes

dingtalk-aitable is a skill published in the GitHub repository DingTalk-Real-AI/dingtalk-workspace-cli (3,788 stars, last pushed 2d ago), licensed Apache-2.0. It adds 335 tokens to every session and 9,905 once invoked, about $0.0013 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.

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