According to AlphaMoat, as of 2026-09, Dingtalk Document has 2,014 downloads and 3 stars — ranked #4,420 of 5,078 AI skills overall, and #390 of 442 in Knowledge.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 40 | 1.5K | 3 | - |
| SkillHub ↗ | 241 | 2.0K | 2 | — |
Platforms count differently and update at different times.
Core concepts: workspace (with workspaceId and rootNodeId), node (FILE/FOLDER), and document identifiers (docKey/dentryUuid for content reads/writes, nodeId for deletion and management APIs). Workflow: identify the task type → validate required config via bash scripts/dt_helper.sh --get KEY (always DINGTALK_APP_KEY, DINGTALK_APP_SECRET, DINGTALK_MY_USER_ID; document APIs also need DINGTALK_MY_OPERATOR_ID, auto-converted via --to-unionid; ask once for all missing values and write with --set) → get a token via dt_helper → execute (write commands with variable substitution or multi-line logic to /tmp/<task>.sh and run). On 401 token invalidation use --nocache to force re-fetch; credentials must never be printed in full — show only the first 4 characters. Confirm the target workspace, document, member, and exact change before writing, deleting, or changing permissions.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 2.0K | — | 3 |
| 2026-08 | 1.5K | +11.4% | 3 |
| 2026-07 | 1.3K | +21.5% | 2 |
| 2026-06 | 1.1K | +16.2% | 2 |
| 2026-05 | 927 | — | 2 |
| 2026-03 | 490 | — | 2 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: dingtalk-document description: 钉钉知识库和文档管理操作。当用户提到"钉钉文档"、"知识库"、"新建文档"、"查看文档目录"、"读取文档内容"、"写入文档"、"更新文档"、"文档成员"、"dingtalk doc"、"knowledge base"时使用此技能。支持:创建知识库、查询知识库列表、新建文档/文件夹、读取/写入文档正文内容、管理成员权限等全部文档类操作。 --- # 钉钉文档技能 负责钉钉知识库和文档的所有操作。本文件为**策略指南**,仅包含决策逻辑和工作流程。完整 API 请求格式见文末「references/api.md 查阅索引」。 > `dt_helper.sh` 位于本 `SKILL.md` 同级目录的 `scripts/dt_helper.sh`。
## 核心概念
- **知识库(Workspace)**:文档容器,有 `workspaceId` 和 `rootNodeId`
- **节点(Node)**:文件或文件夹,`type` 为 `FILE` 或 `FOLDER`
- **文档标识(用于 `/v1.0/doc/suites/documents/{id}`)**:可用 `docKey` 或 `dentryUuid`
- 创建文档响应会返回:`docKey`、`dentryUuid`、`nodeId`
- 其中 `docKey` / `dentryUuid` 可用于读写正文;`nodeId` 用于删除和文档管理类接口
- `wiki/nodes` 返回的 `nodeId` 实际上是 `dentryUuid`,可直接用于正文读写
- **operatorId**:所有接口必须的 unionId 参数,通过 `bash scripts/dt_helper.sh --to-unionid` 自动转换
## 工作流程(每次执行前)
1. **先识别本次任务类型** → 例如:列知识库、读文档、写文档、创建文档、成员管理
2. **按本次任务校验所需配置** → 通过 `bash scripts/dt_helper.sh --get KEY` 读取;仅校验本任务必须项
3. **仅收集缺失配置** → 若缺少某项,**一次性询问用户**所有缺失值,用 `bash scripts/dt_helper.sh --set KEY=VALUE` 写入
4. **获取 Token / operatorId** → 直接调用 `bash scripts/dt_helper.sh`,token 获取与缓存细节无需关心
5. **执行操作** → 凡是包含变量替换、管道或多行逻辑的命令,写入 `/tmp/<task>.sh` 再 `bash /tmp/<task>.sh` 执行。不要把多行命令直接粘到终端里(终端工具会截断),也不要用 `<<'EOF'` 语法(heredoc 在工具中同样会被截断导致变量丢失)
### 按任务校验配置(必须先做)
- **所有任务通用必需**:`DINGTALK_APP_KEY`、`DINGTALK_APP_SECRET`、`DINGTALK_MY_USER_ID`
- **涉及任何文档/知识库 API 调用**:必须有 `DINGTALK_MY_OPERATOR_ID`(若缺失,先用 `bash scripts/dt_helper.sh --to-unionid` 自动转换并写回)
- **创建/读取/写入/删除/成员管理**:除上述通用项外,无额外固定配置键;`workspaceId`/`nodeId`/`docKey` 属于任务参数,运行时从用户输入或 API 响应中获取
> 规则:未通过“本次任务配置校验”前,不得进入 API 调用步骤。
> 凭证禁止在输出中完整打印,确认时仅显示前 4 位 + `****`
### 所需配置
| 配置键 | 必填 | 说明 | 如何获取 |
|---|---|---|---|
| `DINGTALK_APP_KEY` | ✅ | 应用 AppKey | 钉钉开放平台 → 应用管理 → 凭证信息 |
| `DINGTALK_APP_SECRET` | ✅ | 应用 AppSecret | 同上 |
| `DINGTALK_MY_USER_ID` | ✅ | 当前用户的企业员工 ID(userId) | 管理后台 → 通讯录 → 成员管理 → 点击姓名查看 |
| `DINGTALK_MY_OPERATOR_ID` | ✅ | 当前用户的 unionId(operatorId) | 首次由 `bash scripts/dt_helper.sh --to-unionid` 自动转换并写入 |
### 身份标识说明
| 标识 | 说明 |
|---|---|
| `userId`(= `staffId`) | 企业内部员工 ID,可通过管理后台 -> 通讯录 -> 成员管理 -> 点击姓名查看 |
| `unionId` | 跨企业/跨应用唯一标识,可通过 `bash scripts/dt_helper.sh --to-unionid <userid>` 获取 |
### 执行脚本模板
```bash
#!/bin/bash
set -e
HELPER="./scripts/dt_helper.sh"
NEW_TOKEN=$(bash "$HELPER" --token)
OPERATOR_ID=$(bash "$HELPER" --get DINGTALK_MY_OPERATOR_ID)
# 在此追加具体 API 调用,例如查询知识库列表:
WORKSPACES=$(curl -s -X GET "https://api.dingtalk.com/v2.0/wiki/workspaces?operatorId=${OPERATOR_ID}&maxResults=20" \
-H "x-acs-dingtalk-access-token: $NEW_TOKEN")
echo "知识库列表: $WORKSPACES"
```
> **Token 失效处理**:dt_helper 仅按时间缓存,无法感知 token 被提前吊销。若 API 返回 401(token 无效/过期),用 `--nocache` 跳过缓存强制重新获取:
> ```bash
> NEW_TOKEN=$(bash "$HELPER" --token --nocache)
> ```
## references/api.md 查阅索引
确定好要做什么之后,用以下命令从 `references/api.md` 中提取对应章节的完整 API 细节(请求格式、参数说明、返回值示例):
```bash
grep -A 30 "^## 1. 查询知识库列表" references/api.md
grep -A 10 "^## 2. 查询知识库信息" references/api.md
grep -A 35 "^## 3. 查询节点列表" references/api.md
grep -A 10 "^## 4. 查询单个节点" references/api.md
grep -A 15 "^## 5. 通过 URL 查询节点" references/api.md
grep -A 28 "^## 6. 创建文档" references/api.md
grep -A 10 "^## 7. 删除文档" references/api.md
grep -A 30 "^## 8. 读取文档内容" references/api.md
grep -A 15 "^## 9. 覆盖写入文档内容" references/api.md
grep -A 12 "^## 10. 追加文本到段落" references/api.md
grep -A 18 "^## 11. 添加文档成员" references/api.md
grep -A 12 "^## 12. 更新文档成员权限" references/api.md
grep -A 10 "^## 13. 移除文档成员" references/api.md
grep -A 10 "^## 错误码" references/api.md
grep -A 10 "^## 所需应用权限" references/api.md
```
A summarizer that condenses long text, documents, and web pages into key points and keywords.
Manage notes and knowledge-base content through the IMA OpenAPI.
A required guide for routing web requests to the right tool.
A skill that searches the web through the Baidu AI Search API.
Calls markitdown through uvx to turn many file types into Markdown.
The default web search for OpenClaw, querying several engines in real time.
A skill that searches web pages, news, images, and videos through DuckDuckGo.
A skill that searches for and discovers available OpenClaw skills.
Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.