AI Frontier Intelligence Briefing

Information aggregation ≠ information overload. Daily briefings are curated, scored, and tiered — not a dump of 50 headlines.

When to Use

Trigger on (in any language):

• "AI 前沿" / "frontier monitor" / "daily briefing" / "signal check" → full briefing
• "今天有什么信号" / "what signals today" / "quick scan" → quick signal detection
• "arXiv 最新" / "latest papers" / "paper tracker" → arXiv track only
• "GitHub Trending" / "AI 热榜" / "trending AI" → GitHub track only

Architecture: 5-Track Parallel

For full data source details, read {baseDir}/references/data-sources.md

Workflow

Step 1: Fetch All Tracks

# Track 1: RSS (run crawler first)
python3 ~/.openclaw/workspace/research/enterprise/rss-crawler.py

# Track 2-4: Generate briefing (all tracks auto-fetched)
python3 {baseDir}/scripts/generate-briefing.py --mode full

Modes: full | quick | arxiv | github

Step 2: Auto-Score & Tier

Each candidate without a score is auto-scored (0-5) by keyword matching across 4 dimensions:

Source bonus: OpenAI/AWS +1.0, Techmeme +0.5, PH/HN +0.3

Tiers are dynamic (based on actual score distribution, not hardcoded thresholds):

• 🔴 Core: top ~15% or ≥3.5 (max 3)
• 🟡 Worth watching: top ~30% or ≥2.5 (max 5)
• 🟢 Quick scan: ≥1.0 (max 8, 36kr first)

For scoring keywords and signal detection rules, read {baseDir}/references/scoring.md

Step 3: Detect Signals

Extract cross-track signals into 3 dimensions:

• 🛠 Tech trends — new models, architectures, frameworks, benchmarks
• 🏢 Product launches — new releases, open-source, GA announcements
• 💰 Funding/M&A — investments, acquisitions, IPOs

Step 4: Render Briefing

Strict format — emoji headers, tiered sections, signal summary. Total ≤ 16 items across all tiers.

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🤖 AI Frontier Intelligence · {Day} {Date}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📡 Sources: 11 RSS + 36kr + arXiv + GitHub + Anthropic
   Candidates: {N} | High quality: {M} | Thresholds: core≥{X} / watch≥{Y}

## 🔴 Core Intelligence ({N} items)
### 1. {Title}
🔗 {Link}
💡 Insight: {One-line takeaway for the user}

## 🟡 Worth Watching ({N} items)
1. **{Title}**
   🔗 {Link}

## 🟢 Quick Scan ({N} items)
• [{Title}]({Link})

## 📚 arXiv · Paper Tracker (≤3)
**{Title}** — {Authors} | {Date}
Abstract: {Abstract[:150]}... → {Link}

## 🔥 GitHub Trending · AI (≤3)
**{Repo}** ({Lang}) +{TodayStars}⭐ → {Link}

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 Today's Signals
🛠 Tech trends: {signal}
🏢 Product launches: {signal}
💰 Funding/M&A: {signal}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
⏰ {HH:MM} | ai-frontier-monitor v2.1

Step 5: Deliver

Reply directly in conversation. To push to a specific channel (Feishu, Discord, Telegram, etc.), configure the delivery target in {baseDir}/references/BRIEFING_CONFIG.md and use OpenClaw's message tool or a cron job with sessionTarget: "current" / "isolated" to deliver at your preferred schedule.

Edge Cases

Skill Integration

Configuration

Edit {baseDir}/references/BRIEFING_CONFIG.md to customize:

• Quantity limits per tier
• Data source on/off switches
• Signal detection thresholds
• Delivery target (Feishu user ID / Discord channel / etc.)

Quality Gates

• Max 16 items per day (3+5+5+3 papers)
• NO_REPLY when <2 quality candidates
• Deduplicate same company/product, keep highest score
• 3 consecutive days below 3 core items → trigger keyword review

Last updated: 2026-05-02 | v2.1