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Install in OpenClaw
/install xyz-podcast-radar-cn
Description
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
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install xyz-podcast-radar-cn - After installation, invoke the skill by name or use
/xyz-podcast-radar-cn - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is podcast-radar-cn?
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. It is an AI Agent Skill for Claude Code / OpenClaw, with 130 downloads so far.
How do I install podcast-radar-cn?
Run "/install xyz-podcast-radar-cn" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is podcast-radar-cn free?
Yes, podcast-radar-cn is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does podcast-radar-cn support?
podcast-radar-cn is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created podcast-radar-cn?
It is built and maintained by mteng27 (@mteng27); the current version is v1.0.0.
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