π¦ ClawHub
Multisource Intel Radar
by @rogerrrr18
Build and run a high-signal information radar for C-end founders and operators across YouTube, X/Twitter, Reddit, WeChat Official Accounts, and Xiaohongshu....
TERMINAL
clawhub install multisource-intel-radarπ About This Skill
name: multisource-intel-radar description: Build and run a high-signal information radar for C-end founders and operators across YouTube, X/Twitter, Reddit, WeChat Official Accounts, and Xiaohongshu. Use when the user wants OPML/RSS ingestion, keyword-whitelist filtering (εδΈ/AI/ε’ιΏ/ιθ), daily digests, noise reduction, and action-oriented summaries.
Multi-Source Intel Radar
Create a founder-grade signal system: less junk, more decisions.
Inputs
/Users/rogeryang/Downloads/follow.opml)Output Contract
Always output: 1. Top 3 must-read signals (one-line why + one action + clickable source link) 2. Top 5 watchlist items (with source link) 3. Dropped noise summary (what got filtered and why) 4. Filter transparency (counts + rates: scanned -> matched -> shortlisted -> top3) 5. Next experiment (one concrete growth/ops move)Workflow
Step 1) Ingest feed sources
scripts/parse_opml.pyassets/feeds.txtStep 2) Fetch + filter
scripts/build_digest.py with keyword whitelistStep 3) Score items
Use this weighted scoring:Step 4) Summarize for execution
For each selected item, provide:Source Coverage Notes
assets/wechat_watchlist.txt, assets/xhs_watchlist.txt)
Anti-Noise Rules
Daily Cadence (recommended)
Keyword Defaults
εδΈ, AI, ε’ιΏ, ιθIf user provides new keywords, merge and deduplicate.
Files
scripts/parse_opml.pyscripts/build_digest.pyreferences/scoring-and-ops.md