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Install in OpenClaw
/install wechat-topic-radar
Description
聚合多平台热点,智能评估选题潜力,提供爆款切入角度、竞品分析及差异化内容方案,助力公众号内容创作。
Usage Guidance
This skill appears coherent with its description: it scrapes/queries public trending sources, ranks topics, and writes HTML/JSON reports. Before installing/running: 1) Review and accept that the tool will make outbound HTTP(S) requests to third‑party aggregator services (api.xcvts.cn, tenapi.cn, sogou, weibo, etc.), which will see your IP and any query strings. 2) Note one endpoint is called via plain HTTP (api.xcvts.cn) — consider changing to HTTPS or using a trusted proxy if privacy is a concern. 3) The generated HTML includes a Plotly CDN script (loads remote JS when you open reports) — if you need air‑gapped usage, host Plotly locally or set include_plotlyjs appropriately. 4) Check that scraping/collection complies with the target platforms' terms of service. 5) If you require higher assurance, review the collector code paths that call external APIs and optionally pin/replace endpoints with ones you trust.
Capability Analysis
Type: OpenClaw Skill
Name: wechat-topic-radar
Version: 1.0.0
The skill bundle is a comprehensive tool for aggregating and analyzing trending topics from multiple social media and news platforms (Zhihu, Weibo, Baidu, etc.) to assist in content creation. The Python scripts (e.g., radar_main.py, enhanced_collector.py) use standard libraries like requests for data retrieval and plotly for report generation, with logic that strictly aligns with the stated purpose. While it utilizes third-party API aggregators (api.xcvts.cn and tenapi.cn) to fetch public hot-lists, there is no evidence of data exfiltration, credential theft, or malicious prompt injection within the SKILL.md instructions.
Capability Assessment
Purpose & Capability
Name/description (hot-topic aggregator for public platforms) aligns with required code and network activity. The code implements multiple collectors and an analysis/reporting pipeline consistent with the stated purpose; requested environment/configuration is limited to a local YAML file and Python deps.
Instruction Scope
SKILL.md instructions only direct the agent to run the provided Python scripts and to read the config file. The runtime steps (scan/quick/analyze/compare) map directly to functions implemented in the code; there are no instructions to read unrelated system files, access credentials, or transmit local files to unknown endpoints.
Install Mechanism
No install spec (instruction-only metadata) — lowest installer risk. However the package includes Python scripts and a requirements.txt; running it will install standard Python packages from PyPI (requests, numpy, plotly, jieba, pyyaml). Nothing in the install is unusual or obfuscated.
Credentials
The skill does not request environment variables or secrets (good). It makes many outbound network requests to third‑party aggregator endpoints (e.g., http://api.xcvts.cn, https://tenapi.cn, https://weibo.com, sogou weixin search). These calls are proportional to the declared function but do expose queries and the host's IP to external services; api.xcvts.cn is contacted over plain HTTP in the code (privacy concern).
Persistence & Privilege
always:false and no code that modifies other skills or global agent configuration. The skill writes report files to ./data/reports (local only) and does not request elevated or persistent platform privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install wechat-topic-radar - After installation, invoke the skill by name or use
/wechat-topic-radar - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- 首个版本发布,提供微信公众号爆款选题智能分析工具
- 支持20+主流平台热点采集与集成(如知乎、微博、小红书、B站等)
- 基于多维度热度算法评估选题价值,智能识别高潜力选题
- 提供切入角度、标题优化、结构规划等智能建议
- 实现竞品分析与差异化策略推荐
- 生成包含可视化图表和关键词云的交互式HTML/JSON报告
- 提供命令行工具及Python API,便于多场景使用
Metadata
Frequently Asked Questions
What is 公众号爆款选题雷达?
聚合多平台热点,智能评估选题潜力,提供爆款切入角度、竞品分析及差异化内容方案,助力公众号内容创作。 It is an AI Agent Skill for Claude Code / OpenClaw, with 134 downloads so far.
How do I install 公众号爆款选题雷达?
Run "/install wechat-topic-radar" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 公众号爆款选题雷达 free?
Yes, 公众号爆款选题雷达 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 公众号爆款选题雷达 support?
公众号爆款选题雷达 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 公众号爆款选题雷达?
It is built and maintained by sxzxlj (@sxzxlj); the current version is v1.0.0.
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