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πŸ¦€ 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....

Versionv0.1.1
Downloads845
Installs1
TERMINAL
clawhub install multisource-intel-radar

πŸ“– 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 (εˆ›δΈš/AI/ε’žι•Ώ/ι‡‘θž), daily digests, noise reduction, and action-oriented summaries.

Multi-Source Intel Radar

Create a founder-grade signal system: less junk, more decisions.

Inputs

  • OPML file (default: /Users/rogeryang/Downloads/follow.opml)
  • Keyword whitelist (default: εˆ›δΈš, AI, ε’žι•Ώ, ι‡‘θž)
  • Optional source lists for non-RSS channels (X list links, subreddit list, WeChat/XHS accounts)
  • 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

  • Parse OPML with scripts/parse_opml.py
  • Generate normalized feed list: assets/feeds.txt
  • Step 2) Fetch + filter

  • Run scripts/build_digest.py with keyword whitelist
  • Time window default: last 48h
  • Keep only items that match whitelist in title/summary
  • For Xiaohongshu: do browser search (not watchlist-dependent), using keyword combos like:
  • - εˆ›δΈš AI ε’žι•Ώ - AI 产品 ε€η›˜ - ε’žι•ΏθΏθ₯ ζ‘ˆδΎ‹ Then append top findings with profile/note links.

    Step 3) Score items

    Use this weighted scoring:
  • Relevance to whitelist (40%)
  • Actionability in 7 days (30%)
  • Novelty / non-obviousness (20%)
  • Evidence density (10%)
  • Step 4) Summarize for execution

    For each selected item, provide:
  • Core insight (1 sentence)
  • Why it matters for current product
  • Suggested action today (1 step)
  • Source Coverage Notes

  • YouTube/X/Reddit often available via RSSHub or platform feeds in OPML
  • WeChat OA and Xiaohongshu are often not natively RSS; add via:
  • - RSS bridge links (if available) - Manual watchlist files (assets/wechat_watchlist.txt, assets/xhs_watchlist.txt)
  • If a source has no feed, include it in watchlist and mark as manual scan required
  • Anti-Noise Rules

  • Do not output generic motivational posts
  • Drop repeatedθ§‚η‚Ή without new evidence
  • Prefer first-hand data / concrete case over opinion
  • Keep digest under 10 items total
  • Daily Cadence (recommended)

  • 09:30: morning digest (strategic)
  • 18:30: evening digest (tactical)
  • Keyword Defaults

    εˆ›δΈš, AI, ε’žι•Ώ, ι‡‘θž

    If user provides new keywords, merge and deduplicate.

    Files

  • Parser: scripts/parse_opml.py
  • Digest builder: scripts/build_digest.py
  • Notes: references/scoring-and-ops.md