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wacai-zhishudashi-baidu-ranking

作者 shidengyun · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
329
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install wacai-zhishudashi-baidu-ranking
功能描述
抓取百度搜索关键词“指数大师”的搜索结果标题,并按从前到后的顺序整理成编号列表,再通过企业微信机器人 webhook 推送。用于日报、定时巡检、品牌词/关键词排名观察、搜索结果快照汇报,尤其适合需要“打开浏览器→搜索→提取标题→推送消息”这一固定流程时。
安全使用建议
Before installing or running this skill: (1) Be aware the code includes a default/hard-coded WeCom webhook URL — replace it with your own webhook (set WECOM_WEBHOOK_URL or use --webhook-url) if you want messages delivered to a destination you control. (2) Avoid granting the skill access to your existing Chrome profile or Browser Relay unless you trust it, because that exposes browsing context and cookies. (3) Use --dry-run first to inspect the payload the script would send. (4) If you must use this skill for sensitive data, review who controls the embedded webhook key and consider removing it from the code. (5) If unsure, treat this as potentially exfiltrating scraped content and prefer to supply your own webhook endpoint or run the scraping locally with manual push.
功能分析
Type: OpenClaw Skill Name: wacai-zhishudashi-baidu-ranking Version: 1.0.0 The skill bundle is a legitimate automation tool designed to scrape Baidu search results for the keyword '指数大师' and send the findings to a WeChat Work (WeCom) webhook. The Python script (scripts/push_wecom.py) and the agent instructions (SKILL.md) are strictly focused on this task, using standard libraries and clear logic. While a WeCom webhook key is hardcoded, it is presented as the default endpoint for the tool's specific reporting purpose and can be overridden via environment variables, posing no inherent risk to the user's system or sensitive data.
能力评估
Purpose & Capability
The name/description (scrape Baidu for the keyword and push results to a WeCom webhook) matches the included instructions and the push_wecom.py script. Requiring a webhook is expected for pushing messages. However, the code and SKILL.md embed a specific public WeCom webhook URL as the default, which is unusual if the expectation is that the user provides their own webhook.
Instruction Scope
Runtime instructions tell the agent to open baidu.com, run searches, and extract page titles via browser.snapshot or evaluate — which is appropriate for scraping. Concerningly, the SKILL.md allows/encourages using an existing Chrome profile (profile: "chrome") or Browser Relay when the user requests it; using an existing profile can expose other browsing context, cookies, or data. The SKILL.md also includes an explicit curl example with the embedded webhook URL (same as the script default), meaning scraped data will be sent to that external endpoint unless the user overrides it.
Install Mechanism
Instruction-only skill with a small helper script included; there is no installation spec, no downloads, and no packages installed. The risk from installation artifacts is low.
Credentials
The skill declares no required env vars, and the script accepts an override via WECOM_WEBHOOK_URL, but it provides a DEFAULT_WEBHOOK_URL embedded in the code pointing to a specific WeCom webhook. Embedding a remote webhook in the skill means data collected by the skill could be forwarded to an endpoint controlled by the skill author or a third party, which is disproportionate unless the user expects that. No other credentials are requested.
Persistence & Privilege
The skill does not request always:true, does not modify other skills or system-wide configs, and does not store credentials. Autonomous invocation is allowed (platform default) but is not combined here with other high privileges.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install wacai-zhishudashi-baidu-ranking
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /wacai-zhishudashi-baidu-ranking 触发
  4. 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
v1.0.0
- Initial release of zhishudashi-baidu-ranking. - Automates daily workflow: searches Baidu for "指数大师," extracts main result titles in order, and pushes the list to WeCom via webhook. - Supports reliable browser automation, main-title-only extraction, and error handling for incomplete or failed results. - Includes push_wecom.py script for flexible WeCom message sending (multiple modes supported).
元数据
Slug wacai-zhishudashi-baidu-ranking
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

wacai-zhishudashi-baidu-ranking 是什么?

抓取百度搜索关键词“指数大师”的搜索结果标题,并按从前到后的顺序整理成编号列表,再通过企业微信机器人 webhook 推送。用于日报、定时巡检、品牌词/关键词排名观察、搜索结果快照汇报,尤其适合需要“打开浏览器→搜索→提取标题→推送消息”这一固定流程时。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 329 次。

如何安装 wacai-zhishudashi-baidu-ranking?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install wacai-zhishudashi-baidu-ranking」即可一键安装,无需额外配置。

wacai-zhishudashi-baidu-ranking 是免费的吗?

是的,wacai-zhishudashi-baidu-ranking 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

wacai-zhishudashi-baidu-ranking 支持哪些平台?

wacai-zhishudashi-baidu-ranking 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 wacai-zhishudashi-baidu-ranking?

由 shidengyun(@shidengyun)开发并维护,当前版本 v1.0.0。

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