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podcast-radar-cn

作者 mteng27 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install xyz-podcast-radar-cn
功能描述
中文播客数据工具包。用于播客发现、竞品分析、订阅追踪、创作机会评估。 触发场景: · 发现热门/新锐播客或单集 · 分析某个分类的竞争格局 · 追踪播客订阅量变化趋势 · 评估播客创作方向的机会 · 生成完整的播客创作机会报告 · 对标学习头部播客案例 · 话题热度趋势监控
安全使用建议
This package appears to do what it says: call xyzrank APIs, query api.xyzrank.top, and optionally scrape xiaoyuzhoufm pages for subscription/play counts, storing results in local JSON files. Before installing, consider: (1) scraping xiaoyuzhou is rate-sensitive—keep the default limits (max 20 per enrich) and respect the target site's terms; (2) scripts spawn subprocesses to run other bundled scripts and will create/modify JSON files in the skill directory (episode_history.json, subscription_data.json, tracking_data.json, etc.); (3) verify the external endpoints (xyzrank.com and api.xyzrank.top) are services you trust and that usage complies with their API/robots policies. If you need stronger guarantees, inspect the remaining (truncated) files locally for any network or file operations not covered here.
功能分析
Type: OpenClaw Skill Name: xyz-podcast-radar-cn Version: 1.0.0 The skill bundle is a legitimate toolkit for analyzing Chinese podcast data, integrating APIs from xyzrank.com and scraping xiaoyuzhoufm.com. The scripts (e.g., fetch_xyz_rank.py, analyze_genre.py, and generate_report.py) perform data aggregation, trend analysis, and reporting as described in the documentation. While some scripts use subprocess to call curl or other internal scripts, they do so without shell=True, mitigating common injection risks. There is no evidence of data exfiltration, malicious execution, or prompt injection intended to subvert the agent's behavior.
能力评估
Purpose & Capability
Name/description describe discovery, tracking and reporting; included scripts (fetch_xyz_rank.py, analyze_genre.py, generate_report.py, batch_track.py, enrich_xiaoyuzhou.py, etc.) directly implement those features and use the documented data sources (xyzrank, api.xyzrank.top, xiaoyuzhoufm). No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md and example commands consistently instruct running the included Python scripts which fetch API endpoints and (optionally, in small batches) scrape xiaoyuzhou pages for subscription/play counts. Scripts read/write local JSON files for tracking — this matches the stated workflows. There are no instructions to read arbitrary system files, use unrelated environment variables, or send data to unexpected external endpoints.
Install Mechanism
There is no install spec; the package is instruction-plus-scripts and relies on Python standard library only (authors claim zero pip deps). No remote downloads or archive extraction are performed by an installer.
Credentials
The skill declares no required environment variables or credentials. The scripts access only public HTTP(S) endpoints (xyzrank, api.xyzrank.top, xiaoyuzhoufm) and local JSON files inside the scripts directory, which is appropriate for the described functionality.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and only persists its own tracking/history to JSON files in the package directory. Autonomous model invocation is allowed by default (normal), but this skill's code does not grant it extra system 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 xyz-podcast-radar-cn
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /xyz-podcast-radar-cn 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
Podcast Radar CN 1.0.0 introduces a comprehensive Chinese podcast analytics toolkit for discovery, competitive analysis, subscription trend tracking, and opportunity reports. - Initial release with 7 scripts for multiple analytic and monitoring tasks: genre analysis, batch subscription tracking, opportunity report generation, topic trend analysis, episode and podcast tracking, and Xiaoyuzhou enrichment. - Integrated official xyzrank.com and api.xyzrank.top endpoints for real-time/weekly charts and full subscription growth curves. - Enhanced workflows for creator and listener scenarios, with built-in rules for query interpretation and data enrichment limits. - Extensive documentation included for usage scenarios, data caveats, API call samples, and analysis frameworks.
元数据
Slug xyz-podcast-radar-cn
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

podcast-radar-cn 是什么?

中文播客数据工具包。用于播客发现、竞品分析、订阅追踪、创作机会评估。 触发场景: · 发现热门/新锐播客或单集 · 分析某个分类的竞争格局 · 追踪播客订阅量变化趋势 · 评估播客创作方向的机会 · 生成完整的播客创作机会报告 · 对标学习头部播客案例 · 话题热度趋势监控. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 130 次。

如何安装 podcast-radar-cn?

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

podcast-radar-cn 是免费的吗?

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

podcast-radar-cn 支持哪些平台?

podcast-radar-cn 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 podcast-radar-cn?

由 mteng27(@mteng27)开发并维护,当前版本 v1.0.0。

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