MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
钉钉数字员工的自然语言创建、查询、修改、发布、删除、能力资源、执行状态、本地 Profile 落盘与 DSH 接入。Use when 用户说创建或管理数字员工、改人设/岗位/响应模式、发布或询问下线能力、查执行状态或 trace、管理数字员工 Skill/MCP、把已有数字员工转换为本地 Profile，或接入本地 DSH。命令前缀：dws dingtalk-tag。
Apache-2.0Auto-check passed
Install Dingtalk Tag
$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-tag -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-tag --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/multi/dingtalk-tag .claude/skills/dingtalk-tag && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "dingtalk-tag" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-tag into .claude/skills/dingtalk-tag/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-tag", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-tagType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-tag -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-tag --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/multi/dingtalk-tag .agents/skills/dingtalk-tag && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dingtalk-tag" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-tag into .agents/skills/dingtalk-tag/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-tag", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-tag -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-tag --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/multi/dingtalk-tag .cursor/skills/dingtalk-tag && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dingtalk-tag" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-tag into .cursor/skills/dingtalk-tag/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-tag", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli.git --path skills/multi/dingtalk-tag--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-tag -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-tag --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/multi/dingtalk-tag .gemini/skills/dingtalk-tag && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dingtalk-tag" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-tag into .gemini/skills/dingtalk-tag/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-tag", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-tagInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-tag -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/multi/dingtalk-tag .github/skills/dingtalk-tag && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dingtalk-tag" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-tag into .github/skills/dingtalk-tag/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-tag", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-tag -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install DingTalk-Real-AI/dingtalk-workspace-cli dingtalk-tag --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/multi/dingtalk-tag .opencode/skills/dingtalk-tag && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dingtalk-tag" agent skill from https://github.com/DingTalk-Real-AI/dingtalk-workspace-cli/tree/main/skills/multi/dingtalk-tag into .opencode/skills/dingtalk-tag/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dingtalk-tag", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
dingtalk-tag- GitHub stars
- 3.2k
- Token cost
- ~1k tokens
- SKILL.md length
- 291 words
- Files
- 6 (incl. references)
- Skills in repo
- 17
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
钉钉数字员工的自然语言创建、查询、修改、发布、删除、能力资源、执行状态、本地 Profile 落盘与 DSH 接入。Use when 用户说创建或管理数字员工、改人设/岗位/响应模式、发布或询问下线能力、查执行状态或 trace、管理数字员工 Skill/MCP、把已有数字员工转换为本地 Profile，或接入本地 DSH。命令前缀：dws dingtalk-tag。
- 用户说创建或管理数字员工、改人设/岗位/响应模式、发布或询问下线能力、查执行状态或 trace、管理数字员工 Skill/MCP、把已有数字员工转换为本地 Profile，或接入本地 DSH。命令前缀：dws dingtalk-tag
- SKILL.md covers 路由, 自然语言编排硬约束 and 安全
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Dingtalk Tag is an agent skill from DingTalk-Real-AI/dingtalk-workspace-cli. 钉钉数字员工的自然语言创建、查询、修改、发布、删除、能力资源、执行状态、本地 Profile 落盘与 DSH 接入。Use when 用户说创建或管理数字员工、改人设/岗位/响应模式、发布或询问下线能力、查执行状态或 trace、管理数字员工 Skill/MCP、把已有数字员工转换为本地 Profile，或接入本地 DSH。命令前缀：dws dingtalk-tag。
Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/capability.md`, `references/dingtalk-tag-index.md` and `references/manage-and-connect.md`).
It works with Model Context Protocol. The repository describes itself as: 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… The licence is Apache-2.0.
When your agent uses it
- 用户说创建或管理数字员工、改人设/岗位/响应模式、发布或询问下线能力、查执行状态或 trace、管理数字员工 Skill/MCP、把已有数字员工转换为本地 Profile，或接入本地 DSH。命令前缀：dws dingtalk-tag
Example prompts
- “/dingtalk-tag”
What it can do on your machine
Read from SKILL.md and the folder at commit 0a813a9. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Dingtalk Tag loads about 1k tokens when it runs, and up to ~9.5k if it reads all its reference files. Until then it costs about 50 tokens; SKILL.md has 291 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from DingTalk-Real-AI/dingtalk-workspace-cli at commit 0a813a9, republished under its Apache-2.0 licence (© DingTalk-Real-AI). 291 words, ~1,046 tokens.
Download SKILL.mdSave it as
.claude/skills/dingtalk-tag/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- dingtalk-tag
- description
- 钉钉数字员工的自然语言创建、查询、修改、发布、删除、能力资源、执行状态、本地 Profile 落盘与 DSH 接入。Use when 用户说创建或管理数字员工、改人设/岗位/响应模式、发布或询问下线能力、查执行状态或 trace、管理数字员工 Skill/MCP、把已有数字员工转换为本地 Profile，或接入本地 DSH。命令前缀：dws dingtalk-tag。
- metadata.category
- product
数字员工 Skill
执行任何 dws 操作前，先完整读取 dingtalk-shared。先用 dingtalk-tag-index.md 路由；生命周期读取 manage.md，自然语言创建/恢复/DSH 接入再读 manage-and-connect.md；能力资源读取 capability.md；执行排障读取 run.md。
路由
| 用户意图 | 命令 |
|---|---|
| 创建草稿 / 创建并发布 / 查询 / 修改 / 上线 / 删除 | dws dingtalk-tag manage ... |
| 下线 | 当前版本无独立下线命令；明确说明限制，不得用 delete 冒充下线 |
| A2A 或其他仅登录场景 | dws dingtalk-tag manage login --agent-uuid ... |
| 只登录数字员工并保存本地 Profile | dws dingtalk-tag manage login --agent-uuid ... |
| 把已有、已发布的本地数字员工接入 DSH | dws dingtalk-tag connect --agent-uuid ... --channel dsh |
| 把数字员工接入当前本地 Agent | dws dingtalk-tag connect --agent-uuid ... --channel auto --daemon --alwayson |
| 查询、停止或重启数字员工本地连接 | dws dingtalk-tag connect list/status/stop/restart |
| 在新机器接管（先在旧机器完成解绑） | 旧机器 connect unbind 成功后，新机器 dws dingtalk-tag connect --agent-uuid ... --channel ... |
| 解除本机连接，但保留员工和 Profile | dws dingtalk-tag connect unbind --agent-uuid ... |
| 将已有连接换为其他本地 Agent 或 DSH | 先 connect unbind --agent-uuid ...，再 connect --agent-uuid ... --channel ... |
| 创建、更新、删除或查询 Skill / MCP 资源 | `dws dingtalk-tag capability skill |
| 查一次执行的状态或完整 trace | dws dingtalk-tag run ... |
自然语言编排硬约束
- 创建/更新的 MCP 主程序类型字段为
digitalTagEmployeeProfile.type，列表过滤使用顶层type，仅支持open_code、local_agent，a2a暂不支持。CLI 参数为--type；创建时必须显式传--type open_code|local_agent，缺失或空值由 DWS 本地拦截；应告知调用方选择主程序类型，不能省略或发送空值。更新时未传则保持原值；明确接入本地 Agent/DSH 时传--type local_agent。注意create/list/save-draft的--type是主程序类型，而detail使用--snapshot draft|published选择配置来源，不要混淆。 - 创建时未提供
--response-mode或值为空，CLI 默认发送mention_only，包括local_agent。更新时不传就不更新该字段，显式值保持不变；最终有效配置由服务端按当前草稿校验。 - 创建要求名称、描述和主程序类型；部门可不传，由服务端补操作人的主任职部门。不要向用户索要部门名称、岗位、工号或内部 uid。
save-draft只更新用户明确修改的基础草稿字段，不接受 Skill/MCP 完整数组。Skill/MCP 生命周期统一使用capability skill|mcp create|update|delete|list|query；不设计 attach/detach，check_mcp只在 create 和带配置的 update 内部调用。- 创建或替换 MCP 配置时，须告知并显式填写
configString.mcpServers.<名称>.type（streamable-http或sse）以及对应url；不能只填 URL，configType=JSON也不能代替传输类型。仅更新 enabled 不重新提交配置。 - 发布所需配置由服务端校验；创建时默认响应模式为
mention_only。历史草稿缺少响应模式时先通过save-draft补齐，不以发布命令隐式改写草稿。 - 同一自然语言请求里的连续写操作只做一次汇总确认；确认后才加
--yes。先用--dry-run --format json展示计划。 - 创建成功后若保存或发布失败，必须返回已创建的
agentUuid和恢复命令；重试禁止再次执行 create。 - “创建并落盘 Profile”可顺序执行创建/发布与
manage login；“创建并接入 DSH”则使用connect --channel dsh。创建/发布与 connect 是独立事务，connect 绝不创建、修改或发布数字员工。 - 用户可以只创建/管理数字员工、只把已有员工转换为本地 Profile，或继续接入 DSH；三种操作互不强绑定。
- 数字员工 ID 统一使用
agentUuid/--agent-uuid；人员标识统一使用userId，不得要求或展示 uid、robotUid、staffId。 - 普通本地 Agent 接入使用 Event Consume，默认仅主管可触发；白名单中的用户必须先在员工身份下精确解析。支持 Codex、Qoder/QoderWork、Claude Code、CodeBuddy/WorkBuddy、Gemini、OpenCode 和 custom。OpenClaw/Hermes 暂未适配，不要回退到机器人创建流程。
- 自然语言“创建发布并接入本机”在发布后显式使用
--daemon --alwayson；命令行默认前台。DSH 不加这两个参数，由运行中的宿主员工级启动；宿主不可用时按 restartRequired 提示启动宿主。connect 不提供开机自启，也不能在电脑休眠期间处理消息。 - connect 失败后保留员工 ID 和已落盘 Profile，检查
connect status再恢复；不要重复 create、不要清除事件重试预算、不要隐式覆盖另一个 Adapter 的绑定。 - 服务端 identity 由主管登录态注入，禁止传入 userId/orgId；deviceId 是稳定设备标识，runtimeBindingId 是服务端绑定 ID，与本地 bindingRevision/runtimeInstanceId 不同。绑定回执不代表在线；响应未知的 bind 不得自动重试或通过删配置绕过。只保存 Profile 使用
manage login。 - “暂停”使用 stop（保留绑定）；“解绑”使用 unbind（保留 Profile）；“换成本地另一个 Agent”先 unbind，成功后再 connect；两步先 dry-run 并汇总确认。换绑先确认旧实例释放，unknown 或超时不得手动删绑定来绕过。新绑定已提交但启动失败使用 restart；旧绑定仍在 unbinding 时重试原 unbind。
安全
manage login在内部完成 AuthCode 换票、在线身份核验，并保存精确corpId:userIdProfile；不得输出或转存 AuthCode/Token。只登录或仅保存 Profile 使用manage login；真正接入本地 Agent/DSH 使用connect。- 删除不可逆；修改、发布、删除和 connect 按 Schema 的确认要求执行。
- Channel 的
reply/operator-private只供已绑定的本地 Adapter/DSH 机器协议使用，必须指定员工 Profile，正文只能走受限 stdin；不要为普通用户消息直接调用。
© DingTalk-Real-AI, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 5 other files (references) in skills/multi/dingtalk-tag of DingTalk-Real-AI/dingtalk-workspace-cli.
- SKILL.md
- references/capability.md
- references/dingtalk-tag-index.md
- references/manage-and-connect.md
- references/manage.md
- references/run.md
Open the folder on GitHubat commit 0a813a9
Compare with similar skills
Dingtalk Tag next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dingtalk Tag this skillDingTalk-Real-AI/dingtalk-workspace-cli | 3.2k | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| MCP Server BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| MCP Integration for Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| Figma use_figma Plugin API Ruleswarpdotdev/warp | 65k | 4 repos | ~4.4k | Automated safety check: Pass | AGPL-3.0 | |
| Stitch to Remotion Walkthrough Videosgoogle-labs-code/stitch-skills | 8.5k | 6 repos | ~3.2k | Automated safety check: Notes | Apache-2.0 |
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AI搜问：人员语义搜索、跨源主题检索与行为回溯。Use when 语义找人，或目标未知时按主题或行为发现内容。原生最近列表走所属产品；完整手机号精确反查走 dingtalk-contact。前缀：dws aisearch。
Dingtalk Calendar
DingTalk-Real-AI/dingtalk-workspace-cli
钉钉日历与会议室。Use when 用户说 约会议/查日程/订会议室/查闲忙/加参会人/改期/取消会议/今天的日程/本周日程/共同空闲。不做视频会议发起/邀请入会/会中控制（走 dingtalk-misc）、AI 听记（走 dingtalk-minutes）、待办任务（走 dingtalk-todo）。命令前缀：dws calendar。
Dingtalk Contact
DingTalk-Real-AI/dingtalk-workspace-cli
钉钉通讯录精确查询。Use when 已有 userId 后查详情、部门、职位或邮箱，按完整手机号反查用户，或查询自己、部门成员及角色。姓名模糊搜索、工号、职责、上下级走 dingtalk-aisearch，拿到 userId 后用本 skill 补详情。命令前缀：dws contact。
Related
Works with
Questions about Dingtalk Tag
What does Dingtalk Tag do?
钉钉数字员工的自然语言创建、查询、修改、发布、删除、能力资源、执行状态、本地 Profile 落盘与 DSH 接入。Use when 用户说创建或管理数字员工、改人设/岗位/响应模式、发布或询问下线能力、查执行状态或 trace、管理数字员工 Skill/MCP、把已有数字员工转换为本地 Profile，或接入本地 DSH。命令前缀：dws dingtalk-tag。. Dingtalk Tag is an agent skill from DingTalk-Real-AI/dingtalk-workspace-cli.
When should I use Dingtalk Tag?
Dingtalk Tag fits situations like: 用户说创建或管理数字员工、改人设/岗位/响应模式、发布或询问下线能力、查执行状态或 trace、管理数字员工 Skill/MCP、把已有数字员工转换为本地 Profile，或接入本地 DSH。命令前缀：dws dingtalk-tag.
How do I install Dingtalk Tag in Claude Code?
Run `npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-tag -a claude-code`. Or copy the skill folder (skills/multi/dingtalk-tag in DingTalk-Real-AI/dingtalk-workspace-cli) into .claude/skills/dingtalk-tag in your project. Claude Code loads it when a task matches its description.
How do I install Dingtalk Tag in Codex?
Run `npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-tag -a codex`. Or copy the skill folder (skills/multi/dingtalk-tag in DingTalk-Real-AI/dingtalk-workspace-cli) into .agents/skills/dingtalk-tag in your project. Codex loads it when a task matches its description.
Can I use Dingtalk Tag in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DingTalk-Real-AI/dingtalk-workspace-cli --skill dingtalk-tag -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dingtalk-tag, .gemini/skills/dingtalk-tag, .github/skills/dingtalk-tag and .opencode/skills/dingtalk-tag in your project.
What does Dingtalk Tag need to run?
SKILL.md names no scripts, command-line tools or credentials: Dingtalk Tag is instructions for the agent only.
Does Dingtalk Tag access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Dingtalk Tag safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Dingtalk Tag use?
Dingtalk Tag is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Dingtalk Tag use?
About 1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 8.4k tokens, read only when the agent opens those files.
What are the alternatives to Dingtalk Tag?
Skills that share tags, products or a category with Dingtalk Tag: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Figma use_figma Plugin API Rules (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dingtalk Tag?
DingTalk-Real-AI (a GitHub organization) maintains it in DingTalk-Real-AI/dingtalk-workspace-cli, which has 3,246 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 10, 2026.
Source: DingTalk-Real-AI/dingtalk-workspace-cli on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.