dingtalk-aisearch

dingtalk-aisearch is a skill for Claude Code, Codex from DingTalk-Real-AI/dingtalk-workspace-cli. It costs 75 tokens per session (2,472 once invoked), scanned A, original, Apache-2.0.

A DingTalk search tool for finding people and locating related information across company documents, messages, email, and meeting notes.

In plain words
What is it for?
Use it to find colleagues by name, employee number, department, role, manager, or subordinate relationship, and to search company records by topic and time.
Why use it?
It helps when a name, department, responsibility, or partial phone clue is not enough to identify the right person or source. It also finds things you sent, received, created, or shared.

Skill for Claude CodeCodex

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

Good fit Use it to find colleagues by name, employee number, department, role, manager, or subordinate relationship, and to search company records by topic and time.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-aisearch
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-aisearch
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-aisearch

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-aisearch"><img src="https://agentmods.dev/badge/skills/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-aisearch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,472 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 $0.00075 $0.02472
Opus 5.5 $0.00030 $0.00989
Sonnet 5.5 $0.00015 $0.00494
Haiku 4.5 $0.00007 $0.00247

Measured 1mo ago against content hash b815ca502ec7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dingtalk-aisearch 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 1mo 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.

skills/multi/dingtalk-aisearch/SKILL.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

钉钉 AI 搜问 Skill

最小执行契约

  • 只用 dws 操作钉钉,每条命令带 --format json,只按结构化返回下结论。
  • person/enterprise/behavior 直接调用,不预读 shared、Reference、Schema、Help 或下游 Skill。
  • 不猜命令、字段、ID、profile 或事实;多候选不取首项,不混用不同 domain 的 ID。
  • 空结果结束本次搜索;失败、不完整或候选结果不能表述成“对象不存在”、全量或唯一。
  • 来源不确定或用户列出多个来源时,第一条业务命令必须是一次合并 --types 的 aisearch enterprise,不能先逐产品搜索。

选路

意图 入口
姓名、工号、部门、职位、职责、上下级或手机号线索找人 dws aisearch person
按主题跨文档、消息、邮件、待办、日程、听记等找内容 dws aisearch enterprise
以我为端点的发送/接收,或我创建、编辑、分享过什么 dws aisearch behavior
仅 IM 且需逐条消息谓词过滤 dws chat +search-msg
无主题地列最近访问/编辑文档 dws drive +recent
枚举部门完整成员 dingtalk-contact
完整手机号精确反查 dws contact user search-mobile --mobile "<手机号>" --format json
已知稳定 ID 后读取/修改 对应产品 Skill

顺序:资源范围 → 答案形态 → 原生谓词。

1. 人员搜索

维度:姓名=name,部门=department,职位=position,职责/负责人=duty,上级=supervisor,下属=subordinate,工号=jobNumber,手机号线索=phone;确实无法判断才用 all。

dws aisearch person --query "<用户原始目标>" --dimension <维度> --format json
  • 保留完整目标;独立条件分别查。正确维度为空就结束,不换 all、缩词或扩同音词。
  • 用 searchEvidence.returnedCandidateCount 报告本次候选数;无分页完成证据只称“本次返回”。
  • 姓名/花名包含查询只交付 _searchEvidence.exactAliasContainsQuery=true;exactAliasContainsCount=0 即无精确包含项,语义近似不能替代。
  • resolvedRelation.status=resolved 时直接使用 target/supervisor/relation 回答直属上级,不再搜索,也不把上级的上级当直属上级。
  • 产品归属与负责人用一次 dimension=duty,保留产品名和“负责”;仅职责证据明确者可称负责人,多候选就列候选及部门,共同上级不等于负责人。
  • 姓名与花名可由同一候选的 aliases 关联;不同域 ID 不可直接比较。需要更多人员详情时才用真实 userId 切 Contact。

2. 跨源内容搜索

时间词只进 --time-range,类型词只进 --types,其余主题进 --queries。

dws aisearch enterprise --queries "<主题>" --types <类型CSV> [--time-range "<原时间词>"] --format json

类型:文档/普通文件=document,消息=im,邮件=mail,日程=calendar,待办=todo,听记=minute,日志=report,AI表格=notable,知识内容=baike;用户列出的来源合并到一次调用。

  • requestConstraints 回显实际条件,sources 给出各来源数量;no_returned_items 仅表示本次未命中,coverage.status=unknown 不能证明完整。
  • _searchEvidence.queryMatch=text_evidence_present 才有文本主题证据;no_text_evidence 仅是语义候选,标为未核实。
  • 只交付 result 保留项并说明 delivery.omitted;doNotRetryOrExpand=true 时停止,不改词、逐产品补搜或读 Help。
  • 唯一精确标题可能附带 resolvedDetail。其状态为 resolved 或 resolved_from_search_payload 且字段足够时直接回答;failed 才报告补充读取失败。
  • 日程空命中时接口可按原时间调用日历,meta.nativeFallback=true 仍属本次 AISearch 证据,无需 Agent 再查日历。
  • 精确标题未命中不拿近似标题、最近项或首项替代。“唯一才读取”须有指定来源覆盖、分页结束和唯一精确匹配;正文 complete=true 不代表搜索完整。
  • 用户只要候选摘要或链接时不读原文;确需正文且同次结果缺字段,才按真实稳定 ID 读取对应产品。

Read the full file on GitHub · 116 lines

Files

What ships with it

3 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. 1mo ago Changed · +2 lines b815ca502ec7
  2. 1mo ago Changed · +8 lines · -37 tokens per session 12c02d8e524d
  3. 1mo ago Changed · +1 lines · -28 tokens per session fce54280e6ff
  4. 1mo ago Changed · +2 lines · -17 tokens per session 83e054f62bd6
  5. 1mo ago Changed · +19 lines · +59 tokens per session c930e6743c54
  6. 1mo ago First seen · 84 lines · 98 tokens per session scan A a1044278b69d

Subscribe to this mod's changes

dingtalk-aisearch 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 75 tokens to every session and 2,472 once invoked, about $0.0003 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.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

component-fixtures

Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.

microsoft/vscode · 53 tokens