No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by DingTalk-Real-AI · Agent Tool · ★ 3.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is dingtalk-workspace-cli safe to install? View the security audit →
DingTalk Workspace CLI (dws) 一个 CLI 搞定钉钉工作台所有功能 — 为人类和 AI Agent 而生。 覆盖通讯录、日历、待办、考勤、智能表格等核心能力,无需样板代码即可调用,所有响应均为结构化 JSON 输出,并内置 Agent Skills 让 AI 开箱即用。 [!IMPORTANT] 共创阶段:本项目涉及钉钉企业数据访问,需企业管理员授权后方可使用。当前为灰度共创阶段,请加入钉钉 DWS 共创群,提供以下材料给官方人员完成白名单配置:① 钉钉应用的 Client ID;② 企业主管理员确认开通的凭证。后续将支持企业管理员自助审批开通。 目录 为什么选择 dws? 核心服务 安装 开始使用 快速开始 AI Agent Skills 高级用法 环境变量 退出码 架构设计 开发指南 测试 更新日志 -
| Stars | 3,199 |
| Forks | 251 |
| Language | Go |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 62.0088560245304/100 |
| Open Issues | 192 |
| Last Updated | 2026-10-03 |
| Created | 2026-03-21 |
| Platforms | cli, go |
| Est. Tokens | ~17k |
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dingtalk-workspace-cli is DingTalk Workspace is an officially open-sourced cross-platform CLI tool from DingTalk. It unifies DingTalk’s full suite of product capabilities into a single package, is designed for both human users. It is categorized as a Agent Tool with 3.2k GitHub stars.
dingtalk-workspace-cli is primarily written in Go.
You can find installation instructions and usage details in the dingtalk-workspace-cli GitHub repository at github.com/DingTalk-Real-AI/dingtalk-workspace-cli. The project has 3.2k stars and 251 forks, indicating an active community.
dingtalk-workspace-cli is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to dingtalk-workspace-cli on Agent Skills Hub include notebooklm-skill, agent-skills, excalidraw-diagram-skill. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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