Skill: csyr/crypto-briefing (version 1.0.0)

--- name: crypto-briefing description: Generate crypto market briefing reports with latest news, price analysis, trend predictions, sentiment analysis, and Fear & Greed Index. Use when user asks for crypto news summary, market briefing, BTC/ETH/SOL/SUI/WLD/WIF/BGB analysis, or market sentiment report. --- # Crypto Briefing Skill Generate comprehensive crypto market briefing reports by browsing news sites, collecting price data, and analyzing market sentiment. --- ## ⚠️ MANDATORY: News Source Checklist **You MUST visit ALL 5 news sources. This is NON-NEGOTIABLE.** Before generating the report, verify you have visited: - [ ] foresightnews.pro/news - [ ] panewslab.com/zh/newsflash - [ ] theblockbeats.info/newsflash - [ ] techflowpost.com/newsletter/index.html - [ ] odaily.news/newsflash **If any source is skipped, the report is INCOMPLETE and INVALID.** Do NOT rationalize skipping sources. Do NOT assume one source "has enough news." Each source has unique coverage. **Completeness > Speed.** At the end of data collection, you must be able to confirm: ``` ✅ foresightnews.pro - visited ✅ panewslab.com - visited ✅ theblockbeats.info - visited ✅ techflowpost.com - visited ✅ odaily.news - visited ``` If any shows ❌, go back and visit it before proceeding. --- ## Workflow ### Step 1: Collect Price Data Use browser to fetch from CoinMarketCap homepage (preferred - gets all data in one page): - https://coinmarketcap.com/ This provides: - Current prices and 24h changes for major coins - Fear & Greed Index (official) - Market Cap - Average Crypto RSI - Altcoin Season Index For BGB specifically, also visit: - https://coinmarketcap.com/currencies/bitget-token-new/ Coin mapping: - BTC → Bitcoin - ETH → Ethereum - SOL → Solana - SUI → Sui - WLD → Worldcoin - WIF → dogwifhat - BGB → Bitget Token ### Step 2: Browse ALL News Sites (MANDATORY) Use browser tool with `profile=openclaw`. Visit **EACH** site and extract headlines from last 12 hours. **Required sites (must visit ALL 5):** | # | Site | URL | |---|------|-----| | 1 | Foresight News | https://foresightnews.pro/news | | 2 | PANews | https://www.panewslab.com/zh/newsflash | | 3 | BlockBeats | https://www.theblockbeats.info/newsflash | | 4 | TechFlow | https://www.techflowpost.com/newsletter/index.html | | 5 | Odaily | https://www.odaily.news/newsflash | **For each site:** 1. `browser action=navigate` to the URL 2. `browser action=snapshot` with maxChars=15000 3. Parse headlines and timestamps 4. Extract news from last 12 hours 5. Move to next site **After visiting all 5 sites**, close the browser tab. ### Step 3: Calculate Fear & Greed Index Use the **official Fear & Greed Index from CoinMarketCap** (collected in Step 1). Also analyze the following factors to provide AI analysis context: **Factors to consider:** 1. **Price Action (40% weight)** - 24h price changes across major coins - Volatility levels - Support/resistance breaks 2. **News Sentiment (35% weight)** - Ratio of positive/negative headlines from ALL 5 sources - Severity of negative news (hacks, bans, crashes) - Strength of positive news (adoption, institutional buying) 3. **Market Volume & Liquidity (15% weight)** - ETF flows (inflows = greed, outflows = fear) - Exchange volume trends 4. **Social Sentiment (10% weight)** - Panic indicators in news language - Regulatory concerns - Market commentary tone **Classification:** - 0-25: **Extreme Fear** - 25-45: **Fear** - 45-55: **Neutral** - 55-75: **Greed** - 75-100: **Extreme Greed** ### Step 4: Analyze & Generate Report Based on collected news (from ALL 5 sources) and price data, generate the briefing report: ```markdown # 🪙 加密货币市场简报 > 生成时间: {timestamp} (北京时间) ## 📊 价格概览 | 币种 | 当前价格 | 24h 变化 | 12h 目标价 | 趋势预测 | |------|----------|----------|------------|----------| | BTC | $XX,XXX | +X.XX% | $XX,XXX | 📈 上涨 (XX%) | | ETH | $X,XXX | +X.XX% | $X,XXX | 📉 下跌 (XX%) | | SOL | $XXX | +X.XX% | $XXX | ➡️ 横盘 (XX%) | | SUI | $X.XX | +X.XX% | $X.XX | 📈 上涨 (XX%) | | WLD | $X.XX | +X.XX% | $X.XX | 📉 下跌 (XX%) | | WIF | $X.XX | +X.XX% | $X.XX | 📈 上涨 (XX%) | | BGB | $X.XX | +X.XX% | $X.XX | 📈 上涨 (XX%) | ## 🎭 市场情绪 - 😊 积极: XX% - 😐 中性: XX% - 😟 消极: XX% **综合判断**: {积极/中性/消极} ## 😱 恐慌与贪婪指数 **{value}** - {classification} [██████████░░░░░░░░░░] {value}/100 **AI 分析依据:** - {list key indicators from news and data that influenced the F&G score} - {example: 24小时全网爆仓 XX 亿美元（多单 XX 亿美元）} - {example: BTC/ETH ETF 连续 X 日净流出共约 XX 亿美元} - {example: 主流币种全线承压/反弹} - {example: 重大事件影响（如监管、黑客攻击、机构动向）} ## 📰 重要资讯 (过去 12 小时) ### 利好消息 📈 - 🏦 **{category}**: {headline and details} - 💰 **{category}**: {headline and details} - 🚀 **{category}**: {headline and details} ### 利空消息 📉 - 📉 **{category}**: {headline and details} - 💥 **{category}**: {headline and details} - ⚠️ **{category}**: {headline and details} ### 其他动态 📋 - 🎯 **{category}**: {headline and details} - 🔓 **{category}**: {headline and details} --- ## 💡 分析师观点 **短期展望**: {对市场短期(12-24h)走势的综合判断} **关键支撑位**: - BTC: $XX,XXX - $XX,XXX (描述) - ETH: $X,XXX - $X,XXX (描述) **积极信号**: 1. {正面因素 1} 2. {正面因素 2} 3. {正面因素 3} **风险因素**: 1. {风险因素 1} 2. {风险因素 2} 3. {风险因素 3} **策略建议**: {具体操作建议，包括仓位、风险管理等} **今日关注**: - {关键事件 1} - {关键事件 2} - {关键事件 3} --- ## 📈 技术分析 **比特币 (BTC)** - 支撑位: $XX,XXX / $XX,XXX - 阻力位: $XX,XXX / $XX,XXX - RSI: {超买/中性/超卖} **以太坊 (ETH)** - 支撑位: $X,XXX / $X,XXX - 阻力位: $X,XXX / $X,XXX - 相对 BTC 表现: {强势/弱势/同步} --- *数据来源: CoinMarketCap, Foresight News, PANews, BlockBeats, TechFlow, Odaily* *免责声明: 本简报仅供参考，不构成投资建议。加密货币市场波动巨大，请谨慎决策。* ``` --- ## Emoji Usage Guidelines **利好消息:** 🏦 🏛️ 🔐 🌐 💰 🎯 🚀 ✅ 📈 **利空消息:** 📉 💥 🐋 ⚖️ 🚨 ⚠️ ❌ 📊 **其他动态:** 🎯 🔓 📦 🔥 🌐 🔒 💼 🇰🇿 🇸🇻 (country flags for regional news) --- ## Trend Prediction Guidelines Analyze news sentiment and price momentum to predict 12h trends: **上涨信号** (📈): - Positive news (ETF approvals, institutional buying, regulatory clarity) - Strong 24h momentum (>3% gain) - Low fear index (<30) with accumulation signs **下跌信号** (📉): - Negative news (hacks, regulatory crackdowns, large sell-offs) - Weak momentum (<-3% loss) - High fear or extreme greed (contrarian) **横盘信号** (➡️): - Mixed or no significant news - Low volatility (-3% to +3%) - Neutral sentiment --- ## Sentiment Analysis Categorize each news headline as: - **积极**: Bullish news, adoption, partnerships, upgrades - **消极**: Hacks, bans, crashes, lawsuits - **中性**: Neutral updates, technical changes, mixed news Calculate percentages based on headline count across ALL sources. --- ## Final Checklist Before Submitting Report Before outputting the report, confirm: - [ ] CoinMarketCap data collected (prices, F&G, RSI) - [ ] ✅ foresightnews.pro - visited - [ ] ✅ panewslab.com - visited - [ ] ✅ theblockbeats.info - visited - [ ] ✅ techflowpost.com - visited - [ ] ✅ odaily.news - visited - [ ] News from all sources merged and deduplicated - [ ] Report includes data sources footer mentioning all 5 news sites **If any checkbox is unchecked, DO NOT submit the report. Go back and complete the missing steps.**


Security scan verdicts — ClawScan: clean | static analysis:  | VirusTotal: clean | SkillSpector: clean (LOW)