A high-signal information filtering system that transforms noisy social feeds from YouTube, X, Reddit, and WeChat into actionable founder-grade intelligence.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install multisource-intel-radar
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install multisource-intel-radar using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Multi-Source Intel Radar?
The Multi-Source Intel Radar is a specialized automation framework designed for C-end founders and operators who need to stay ahead of market trends without the distraction of social media noise. By integrating with Openclaw Skills, this tool aggregates data from diverse platforms including YouTube, X (Twitter), Reddit, and even region-specific platforms like WeChat Official Accounts and Xiaohongshu. It applies a rigorous keyword-whitelist filter to ensure that only the most relevant insights regarding AI, growth, and finance reach your desk.
This skill goes beyond simple aggregation by applying a weighted scoring mechanism to every piece of content. It evaluates items based on their actionability, novelty, and evidence density, providing a daily digest that emphasizes execution over consumption. Using Openclaw Skills allows you to maintain a clean, high-signal information environment while automating the tedious process of manual platform checking.
Multi-Source Intel Radar Use Cases
- Daily strategic intelligence gathering for startup founders and C-suite executives.
- Competitor and trend monitoring across global and regional social media platforms.
- Automated curation of growth-hacking case studies and AI implementation reports.
- Filtering out motivational 'fluff' to find data-driven evidence and first-hand insights.
How Multi-Source Intel Radar Works
- The system ingests feed sources by parsing a provided OPML file to generate a normalized list of target URLs.
- It fetches content from the last 48 hours and filters it against a customizable keyword whitelist.
- For non-RSS sources like Xiaohongshu, the skill performs automated browser searches using specific keyword combinations.
- Every item is passed through a scoring algorithm that weights relevance, actionability, novelty, and evidence density.
- The final output is structured into a concise digest featuring must-read signals, watchlist items, and filter transparency metrics.
Multi-Source Intel Radar Setup
To get started with this intelligence system, follow these steps:
- Prepare your OPML source file and place it in your downloads folder or a known path.
- Configure your initial keyword whitelist (e.g., AI, Growth, Finance).
- Parse your initial sources:
python scripts/parse_opml.py
- Generate your first high-signal digest:
python scripts/build_digest.py
Multi-Source Intel Radar Data Schema & Taxonomy
The skill organizes intelligence data through several key files and structures:
| File Path | Purpose |
|---|---|
assets/feeds.txt |
Normalized list of all active RSS and platform sources. |
assets/wechat_watchlist.txt |
Tracking file for WeChat Official Accounts requiring manual or bridge scans. |
assets/xhs_watchlist.txt |
Target accounts for Xiaohongshu monitoring. |
references/scoring-and-ops.md |
Documentation for the weighted scoring logic. |
Every output includes a 'Filter Transparency' report showing the counts for scanned, matched, and shortlisted items.
Multi-Source Intel Radar Advanced Features
- Custom weighted scoring algorithm (40% Relevance, 30% Actionability, 20% Novelty, 10% Evidence Density).
- Multi-channel support for platforms lacking native RSS through browser-based keyword search automation.
- Noise reduction rules that automatically drop generic motivational posts and repetitive opinions.
- Dual-cadence scheduling for both morning strategic reviews and evening tactical summaries.
- Integrated OPML ingestion for seamless migration from popular RSS readers via Openclaw Skills.
SKILL.md
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