← 返回 Skills 市场
285
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install dingtalk-hot-trend
功能描述
Extract and summarize titles, authors, updates, and content from publicly shared Dingtalk pages, apps, and group invitations without internal API access.
使用说明 (SKILL.md)
钉钉
用途与边界
- 面向公开应用与分享页面的信息提取与摘要
- 不提供企业内部API调用或权限绕过能力
- 仅处理公开可访问页面
关键入口
- 主页:https://www.dingtalk.com/
- 公开应用页/公告页:由分享链接进入
常见任务
- 公告分享页的标题/作者/更新时间与正文摘要
- 公开应用页的功能说明、版本信息与链接整理
- 公开群邀请页的基本说明与注意事项摘要
数据字段
- 标题、作者、更新时间、正文摘要、标签、来源链接
- 应用名称、功能概述、版本信息、链接
- 群邀请页描述与条款摘要
自动化要点
- 内容动态加载,需等待渲染完成后解析
- 无企业内部鉴权能力,仅处理公开分享
- 频率控制避免重复访问
示例流程
- 公告摘要:访问分享页 → 解析标题/作者/更新时间 → 抽取正文摘要
- 应用整理:进入应用页 → 抽取功能/版本信息 → 输出链接清单
- 群页面摘要:访问邀请页 → 抽取说明与条款 → 输出注意事项
合规提示
- 遵守平台与企业信息安全规定,不处理非公开内容
- 输出仅用于内部分析与提醒
安全使用建议
This skill appears coherent and limited to public Dingtalk content, but note: it will require network access and a way to render JavaScript-driven pages (e.g., a headless browser) which the platform/agent must provide. Before installing, confirm the agent environment can safely perform web rendering and scraping, obey robots.txt and Dingtalk's terms of service, and implement rate limiting to avoid being blocked. The skill does not request credentials — do not provide any enterprise tokens; if later you are asked for auth, treat that as a red flag.
功能分析
Type: OpenClaw Skill
Name: dingtalk-hot-trend
Version: 0.1.0
The skill bundle consists of metadata and instructions (SKILL.md) for summarizing publicly accessible DingTalk pages, such as announcements and application descriptions. It explicitly defines boundaries against accessing internal APIs or private data and contains no executable code, suspicious network requests, or malicious prompt injection attempts.
能力评估
Purpose & Capability
Name/description (extract and summarize public Dingtalk pages) match the SKILL.md: it describes extracting titles, authors, timestamps, content summaries and explicitly limits itself to publicly accessible pages without internal API access.
Instruction Scope
Instructions stay within scope (fetch and parse public share/app/invite pages). The doc notes 'content is dynamically loaded, wait for rendering' which implies a need for a JS-capable fetch/render step (headless browser or renderer). The skill does not request browser binaries or list how rendering should occur — this is a mild operational gap but not a security incoherence.
Install Mechanism
No install spec or code files are present (instruction-only), so nothing is written to disk and no external packages are pulled.
Credentials
No environment variables, credentials, or config paths are required. This is appropriate given the stated purpose of only handling public pages.
Persistence & Privilege
always is false and model invocation is normal; the skill does not request persistent/privileged presence or modify other skills' settings.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install dingtalk-hot-trend - 安装完成后,直接呼叫该 Skill 的名称或使用
/dingtalk-hot-trend触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.0
dingtalk-hot-trend v0.1.0
- Initial release of the "钉钉" (DingTalk) hot trend skill
- Enables extraction and summarization of information from public DingTalk share pages and application pages
- Supports tasks like announcement summaries, public app info, and group invite details
- Only accesses publicly shared/accessible content—no internal API or permission bypass
- Outputs structured data fields such as title, author, update time, content summary, and relevant links
- Includes automation tips for handling dynamic content and compliance reminders for information security
元数据
常见问题
Dingtalk 是什么?
Extract and summarize titles, authors, updates, and content from publicly shared Dingtalk pages, apps, and group invitations without internal API access. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 285 次。
如何安装 Dingtalk?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install dingtalk-hot-trend」即可一键安装,无需额外配置。
Dingtalk 是免费的吗?
是的,Dingtalk 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Dingtalk 支持哪些平台?
Dingtalk 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Dingtalk?
由 ClawKK(@codekungfu)开发并维护,当前版本 v0.1.0。
推荐 Skills