ClawHub

Multisource Intel Radar

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 (创业/AI/增长/金融), daily digests, noise reduction, and action-oriented summaries.

Audits

Pass
ClawScanPass

Agentic behavior and permission review.

Static analysisPass

Pattern checks against bundled files.

VirusTotalPass

Multi-engine malware detections and file reputation.

Install

openclaw skills install multisource-intel-radar

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: 创业, AI, 增长, 金融)
  • 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:
    • 创业 AI 增长
    • AI 产品 复盘
    • 增长运营 案例 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 repeated观点 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

创业, AI, 增长, 金融

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