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.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/DingTalk-Real-AI/dingtalk-workspace-clinpx agentmods add skills/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-contactWrote 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/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-contact)<a href="https://agentmods.dev/skills/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-contact"><img src="https://agentmods.dev/badge/skills/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-contact/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/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-contact"><img src="https://agentmods.dev/badge/skills/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-contact.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00090 | $0.02574 |
| Opus 5 | $0.00045 | $0.01287 |
| Sonnet 5 | $0.00018 | $0.00515 |
| Haiku 4.5 | $0.00009 | $0.00257 |
Grade A, and why
dingtalk-contact 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
钉钉通讯录 Skill
前置条件 — 执行操作前必读
**CRITICAL — 执行任何
dws操作前，MUST 先用 Read 工具完整读取dingtalk-shared。**该轻量文件包含全局执行契约、安全底线及 shared references 的按需加载导航；不要预加载其全部 references。
命令参考：contact.md；剧本：08-directory.md。
Shortcuts（无专用脚本/recipe 时优先）
以下 shortcut 同时进入公开 catalog 与 Runtime Schema。先按本 skill 的意图表、脚本和 recipe 路由：存在精确覆盖该场景的专用脚本/recipe 时按其执行；否则用户意图命中时，shortcut 优先于手写原子命令。命令已选中时直接执行；只在参数或安全语义不确定时读取 Agent leaf Schema（例如 dws schema --cli-path "contact +<shortcut>" --compact --format json），在当前 Cobra flags 不确定时读取 dws contact <shortcut> --help。只有参数映射、接口绑定或 provenance 审计才省略 --compact。仅当现有路由和 reference 都无法定位低频能力时，才用 dws shortcut list --service contact --format json 批量发现。
| Shortcut | 风险 | 适用场景 |
|---|---|---|
dws contact +by-mobile |
read | 按手机号查询某人的完整资料（自动解析 userId 后取详情） |
dws contact +dept-members |
read | 按部门名列出部门成员（自动解析 deptId） |
dws contact +list-dept-members |
read | 查看部门成员（仅本部门，不含下级） |
dws contact +list-followings |
read | 获取当前用户的特别关注列表 |
dws contact +list-role-members |
read | 查询角色下的成员列表 |
dws contact +list-sub-depts |
read | 查看指定部门的子部门 |
dws contact +lookup |
read | 按姓名查询某人的完整资料（自动解析 userId 后取详情） |
dws contact +me |
read | 查看我自己的通讯录资料（姓名/userId/手机/部门/组织，干净投影） |
dws contact +org |
read | 按姓名查某人所在部门的详情（自动解析 userId 与 deptId） |
dws contact +resolve-dept |
read | 按名称搜索部门并解析出唯一 deptId（只读） |
dws contact +search-mobile |
read | 按手机号搜索通讯录用户 |
dws contact +search-user |
read | 按关键词搜索通讯录用户 |
dws contact +team |
read | 按姓名列出某人所在部门的成员（自动解析 userId 与 deptId） |
意图表
| 用户说 | 命令 |
|---|---|
| "查我自己的信息" | dws contact user get-self |
| "按 userId 查详情" | dws contact user get --ids <userId1>,<userId2>,...（多个并行） |
| "完整手机号反查用户" | dws contact user search-mobile --mobile <手机号> |
| "按部门名拉成员" | python scripts/contact_dept_members.py --query "<部门名>" |
| "搜部门" | dws contact dept search --query "<关键词>" |
| "部门成员列表" | dws contact dept list-members --ids <deptId> |
| "列出企业角色 / 有哪些角色" | dws contact label list |
| "按角色名查角色ID" | dws contact label get --names "<角色名>" |
| "查某角色下有哪些成员" | dws contact label list-members --id <labelId> |
What ships with it
6 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.
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.
- 9d ago First seen · 123 lines · 90 tokens per session scan A bb2a904dc33d
dingtalk-contact is a skill published in the GitHub repository DingTalk-Real-AI/dingtalk-workspace-cli (2,891 stars, last pushed today), licensed Apache-2.0. It adds 90 tokens to every session and 2,574 once invoked, about $0.0005 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 2026-08-30.
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