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-mailWrote 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-mail)<a href="https://agentmods.dev/skills/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-mail"><img src="https://agentmods.dev/badge/skills/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-mail/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-mail"><img src="https://agentmods.dev/badge/skills/dingtalk-real-ai/dingtalk-workspace-cli/dingtalk-mail.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 | $0.00106 | $0.02589 |
| Opus 5 | $0.00053 | $0.01295 |
| Sonnet 5 | $0.00021 | $0.00518 |
| Haiku 4.5 | $0.00011 | $0.00259 |
Grade A, and why
dingtalk-mail 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
钉钉邮箱 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：mail.md。复杂搜索、附件、批量处理、草稿等多步邮件场景参考：09-mail.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 "mail +<shortcut>" --compact --format json），在当前 Cobra flags 不确定时读取 dws mail <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 mail --format json 批量发现。
| Shortcut | 风险 | 适用场景 |
|---|---|---|
dws mail +find-mail-user |
read | 按关键词搜索邮箱联系人并投影列表（姓名/昵称/邮箱/工号等） |
dws mail +folder-list |
read | 列出顶层文件夹或指定父文件夹下的子文件夹 |
dws mail +message |
read | 读取一封邮件的完整正文与附件元数据 |
dws mail +messages |
read | 按请求顺序读取多封邮件并逐封验证身份 |
dws mail +search-mail |
read | 按 KQL 关键词搜索邮件并投影列表（主题/发件人/时间/messageId） |
dws mail +thread |
read | 读取完整邮件会话并精确验证 conversationId |
dws mail +triage |
read | 列出或筛选邮件摘要，自动解析邮箱与收件箱 |
dws mail +user-search |
read | 按关键词或工号搜索邮箱用户（仅企业邮箱） |
意图表
| 用户说 | 命令 |
|---|---|
| "发邮件给 [email protected]" | dws mail mailbox list --format json → dws mail message send --from <邮箱> --to [email protected] --subject "<标题>" --content "<正文>" --format json |
| "回复 / 全部回复 / 转发" | dws mail message reply / reply-all / forward |
| "今天未读邮件" | python scripts/mail_unread_summary.py |
| "带抄送发送" | python scripts/mail_send_with_cc.py --to [email protected] --cc [email protected] --subject "<标题>" --body "<正文>" |
标准 SOP（必遵流程）
命中以下意图必须按对应 SOP 顺序执行；禁止跳步、替换命令、编造 email/messageId。每条命令必须带
--format json。收件邮箱必须真实解析，禁止猜测。
SOP-1 拿邮箱（get-mailbox）
触发：我的邮箱/发件需要邮箱/查邮件需要邮箱。
- 执行（必须）：
dws mail mailbox list --format json，取自己的email（默认选企业邮箱type:ORG）；查他人邮箱用dws mail user search --keyword "<姓名>" --format json，禁止用mailbox list查他人。
What ships with it
7 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 · 114 lines · 106 tokens per session scan A d9b2c8454958
dingtalk-mail 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 106 tokens to every session and 2,589 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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