content-tracker

v1.0.0

内容追踪技能。高时效性话题追踪、链接更新监控、第三方热点聚合。 USE FOR: - "追踪AI行业动态", "追踪某某话题最新进展" - "监控这个链接的更新", "这个网站有新内容吗" - "今天的热点", "最新新闻" - 定期简报生成(配合日程使用)

0· 113·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for changsheng0804/content-tracker.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "content-tracker" (changsheng0804/content-tracker) from ClawHub.
Skill page: https://clawhub.ai/changsheng0804/content-tracker
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required binaries: bash, python3
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install content-tracker

ClawHub CLI

Package manager switcher

npx clawhub@latest install content-tracker
Security Scan
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Benign
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OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
The name/description (topic/link/news tracking and periodic briefs) matches the declared runtime expectations (uses Python3, saves Markdown reports, depends on a separate topic_tracking skill). Required binaries (python3) are appropriate for the stated purpose. The declared dependency on the topic_tracking skill is reasonable for modular design.
Instruction Scope
SKILL.md limits behavior to fetching/filtering third-party content, generating summaries, and writing Markdown reports under ./我的追踪/{date}/. It explicitly excludes login-only content and JS-heavy pages. It does not instruct reading unrelated system files or secret env vars.
Install Mechanism
There is no install spec (instruction-only), so nothing is downloaded or written during install. This is the lowest-risk model and consistent with the skill's description.
Credentials
No credentials or config paths are requested, which is appropriate. Minor inconsistencies: the metadata lists bash and python3 as required binaries but the doc only describes Python + requests (no explicit use of bash explained). The SKILL.md mentions the Python 'requests' library but does not declare how it will be provided — the skill assumes the runtime already has that dependency. These are documentation/packaging gaps rather than direct security red flags.
Persistence & Privilege
always is false and the skill does not request system-wide changes or other skills' configs. It writes outputs to a local relative path (./我的追踪/...), which is normal for report generation.
Assessment
This skill appears coherent for tracking topics and saving Markdown reports, but verify a few practical points before installing: 1) Ensure the runtime has Python3 and the 'requests' package (the SKILL.md expects requests but there is no install step). 2) Confirm why 'bash' is listed as a required binary (the docs only describe Python usage); if you run in a constrained environment, test the skill in an isolated workspace first. 3) The skill depends on another skill 'topic_tracking'—inspect that skill's code/permissions before enabling. 4) Outputs are written to ./我的追踪/... on the agent host—avoid running on machines with sensitive data or expose those report files unintentionally. 5) Be aware of scraping and site terms of service for sources like Weibo/36Kr/Tencent; the skill excludes login and JS-heavy pages but may still trigger rate limits or blocking. If you need stronger assurance, ask the publisher for an install spec or the topic_tracking implementation to review.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

📡 Clawdis
Binsbash, python3
latestvk976semj8100scsk0dnbsbfn8h84vfm5
113downloads
0stars
1versions
Updated 2w ago
v1.0.0
MIT-0

内容追踪技能

高时效性内容追踪工具,支持话题搜索、链接监控、热点聚合。

核心能力

1. 话题追踪

  • 智能搜索接口,过滤高时效性内容
  • 按事件主体去重,避免重复推送
  • 支持首次/非首次执行模式

2. 链接追踪

  • 监控指定URL的内容更新
  • 自动识别新增内容
  • 生成更新简报

3. 第三方数据源

  • 微博热搜 (weibo_hot)
  • 36氪 (thirty_six_kr)
  • 腾讯新闻 (tencent_news)
  • 华尔街见闻 (wallstreet_cn)
  • 每日热点汇总 (daily_report)

使用场景

适用

  • 行业动态追踪(AI、金融、科技等)
  • 竞品/新闻监控
  • 定期简报生成
  • 链接更新通知

不适用

  • 需要登录的内容
  • 动态JS渲染的页面
  • 视频为主的页面

输出格式

所有追踪结果保存为 Markdown 简报:

./我的追踪/{yyyy_mm_dd}/{话题名称}.md

简报内容:

  • 来源标题(引用链接)
  • 核心内容总结
  • 时效性标注

快速开始

用户:追踪一下AI Agent行业的最新动态
AI:[执行话题追踪] → 生成简报 → 返回链接

配合日程使用

可创建重复日程,自动定期追踪:

场景频率建议
行业动态每日下午3点执行
热点追踪每日早晚各一次
链接监控每周周一执行

依赖

  • 技能:topic_tracking(需预先安装)
  • 环境:Python3 + requests

注意事项

  • 首次执行使用 --is-first-time true 参数
  • 无结果表示确实没有新内容,不会重复推送
  • 内容来源于原文总结,不做推断或编造

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