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loveyou001

V002

作者 ahong · GitHub ↗ · v1.0.12 · MIT-0
cross-platform ⚠ suspicious
296
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当前安装
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在 OpenClaw 中安装
/install databass001
功能描述
🔥 一键获取全平台热榜!B站+抖音+微博+头条,一站搞定所有热点。自媒体运营必备!免费使用,定制开发请联系作者。
使用说明 (SKILL.md)

🔥 全平台热榜聚合 v4.0

一个技能搞定所有平台热榜!B站 + 抖音 + 微博 + 头条

✨ v4.0 新功能

  • ✅ 新增抖音热搜支持
  • ✅ 新增今日头条热榜支持
  • ✅ 优化数据结构
  • ✅ 改善可视化报告

📦 安装

npx clawhub@latest install daily-hot-aggregator

🚀 使用

# 获取所有平台 Top 5
python3 fetch_all.py --top 5

# 获取指定平台
python3 fetch_all.py --bilibili --top 10
python3 fetch_all.py --douyin --top 10

# 生成摘要
python3 fetch_all.py --summary --output daily_report.json

📊 支持平台

平台 状态 数据内容
B站 ✅ 正常 热门视频排行榜
抖音 ✅ 正常 热搜榜
今日头条 ⚠️ 部分 热点新闻
微博 ❌ 需Cookie 热搜榜
知乎 ❌ 需授权 热榜

💰 定制服务

免费使用本技能,如需以下服务请联系作者:

  • 🔧 定制开发:多平台数据聚合方案
  • 📊 数据分析:跨平台热点趋势分析
  • 🤖 自动化部署:完整的数据监控系统
  • 📱 系统集成:对接企业内部系统

联系方式:

📄 许可证

MIT License

安全使用建议
This skill's code (fetch_all.py) appears to only fetch trending items from B站, 抖音, and 今日头条 using public HTTP endpoints and does not access secrets — that part is coherent and low-risk. However, the documentation and package metadata claim many more platforms and features (Weibo requiring cookies, Zhihu auth, push notifications, scheduling) that are not implemented, and version/owner metadata are inconsistent. Before installing or running: (1) treat the repository as untrusted until you verify it — inspect fetch_all.py yourself (you have it), (2) do not provide any cookies, API keys, or credentials (the package does not need them), (3) run it in an isolated environment or container with restricted network access if you are cautious, and (4) if you need the extra platforms/features, ask the author for a clear changelog or updated release that actually implements them. If the maintainer cannot explain the metadata/version mismatches, prefer a different, better-documented tool.
功能分析
Type: OpenClaw Skill Name: databass001 Version: 1.0.12 The skill bundle is a straightforward web scraper designed to fetch trending topics from Bilibili, Douyin, and Toutiao. The Python script (fetch_all.py) uses standard libraries (urllib) to access public APIs and contains no evidence of data exfiltration, malicious execution, or prompt injection. While there is a discrepancy between the platforms advertised in the documentation and those implemented in the code, the behavior remains entirely consistent with its stated purpose.
能力评估
Purpose & Capability
The README/SKILL.md advertise support for many platforms (B站, 微博, 小红书, 百度, 知乎) and features (AI摘要, 多渠道推送, 定时任务), but the included fetch_all.py only implements B站, 抖音, and 今日头条. Package scripts reference --weibo though no --weibo flag exists. Version fields across registry (1.0.12), package.json (1.0.0), file header (4.0.0), and _meta.json (4.0.1) disagree. These inconsistencies suggest sloppy packaging or incomplete implementation — not necessarily malicious, but incoherent.
Instruction Scope
SKILL.md instructs running python3 fetch_all.py with flags; the script follows those instructions and only performs HTTP GETs to public platform endpoints and writes optional output file. The runtime instructions do not request secrets or access unrelated files. However, SKILL.md/README mention features (Weibo that needs Cookie, Zhihu auth, push/scheduling) that are not implemented, which gives the agent broader expectations than the code supports.
Install Mechanism
There is no install spec and no downloaded binaries; the code is included in the bundle and only requires python3 on PATH. No remote install URLs or archive extraction are present.
Credentials
The skill declares no required environment variables, secrets, or config paths and the code does not read environment variables or local credentials. There is one place in code that sets a Cookie header 'ttcid=0' for Douyin requests, but this is hard-coded and not sensitive.
Persistence & Privilege
The skill does not request 'always: true' and has no install-time actions that modify agent configuration or system settings. It runs as a one-off Python script per SKILL.md instructions.
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 databass001
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /databass001 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
v1.0.12
Major version update: Now aggregates trending topics across multiple platforms. - Added support for Bilibili, Douyin, Weibo, and Toutiao trending lists. - Introduced new fetch_all.py script for retrieving and summarizing multi-platform hot lists. - Updated documentation with new usage examples and platform support details. - Removed legacy GitHub Trending script and references. - Improved data structure and visualization options.
v1.0.0
test test
元数据
Slug databass001
版本 1.0.12
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

V002 是什么?

🔥 一键获取全平台热榜!B站+抖音+微博+头条,一站搞定所有热点。自媒体运营必备!免费使用,定制开发请联系作者。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 296 次。

如何安装 V002?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install databass001」即可一键安装,无需额外配置。

V002 是免费的吗?

是的,V002 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

V002 支持哪些平台?

V002 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 V002?

由 ahong(@loveyou001)开发并维护,当前版本 v1.0.12。

💬 留言讨论