Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add chuancyzhang/deepseek-cowork --skill dingtalk-docsgit clone --depth 1 https://github.com/chuancyzhang/deepseek-coworkWrote 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/chuancyzhang/deepseek-cowork/dingtalk-docs)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/dingtalk-docs"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/dingtalk-docs/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/chuancyzhang/deepseek-cowork/dingtalk-docs"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/dingtalk-docs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00127 | $0.01702 |
| Opus 5.5 | $0.00051 | $0.00681 |
| Sonnet 5.5 | $0.00025 | $0.00340 |
| Haiku 4.5 | $0.00013 | $0.00170 |
Grade A, and why
dingtalk-document scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
WORKSPACES=$(curl -s -X GET "https://api.dingtalk.com/v2.0/wiki/workspaces?operatorId=${OPERATOR_ID}&maxResults=20" \ How it starts
The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
- 创建文档响应会返回：
- 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）
- 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
- 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 - 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 - 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 - 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
#!/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"
What ships with it
4 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.
- 1mo ago First seen · 89 lines · 127 tokens per session scan A e3e25158f5ba
dingtalk-document is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 127 tokens to every session and 1,702 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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