{
  "schemaVersion": "1.0",
  "item": {
    "slug": "hype-scanner",
    "name": "Hype Scanner",
    "source": "tencent",
    "type": "skill",
    "category": "AI 智能",
    "sourceUrl": "https://clawhub.ai/peti0402/hype-scanner",
    "canonicalUrl": "https://clawhub.ai/peti0402/hype-scanner",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/hype-scanner",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=hype-scanner",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "scanner-ai.js",
      "SKILL.md"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "Download the package from Yavira.",
        "Extract it into a folder your agent can access.",
        "Paste one of the prompts below and point your agent at the extracted folder."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
          "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
        }
      ]
    },
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-30T16:55:25.780Z",
      "expiresAt": "2026-05-07T16:55:25.780Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=network",
        "contentDisposition": "attachment; filename=\"network-1.0.0.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/hype-scanner"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/hype-scanner",
    "agentPageUrl": "https://openagent3.xyz/skills/hype-scanner/agent",
    "manifestUrl": "https://openagent3.xyz/skills/hype-scanner/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/hype-scanner/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "Hype Scanner 🦁 (Ari)",
        "body": "Detect real hype before it hits the charts. Built for autonomous 24/7 operation."
      },
      {
        "title": "What It Does",
        "body": "Scans 4 sources every 15 minutes:\n\nReddit — 5 subreddits (wallstreetbets, CryptoCurrency, SatoshiStreetBets, memecoins, pennystocks)\nCoinGecko — trending + gainers\nDEXScreener — top token boosts (new launches)\nStockTwits — trending tickers\n\nAI validation layer (local Ollama, qwen3:32b):\n\nAnalyzes every candidate for real signal vs noise\nConfidence score 1-10 — only ≥6 becomes an alert\nZero API costs for the AI part"
      },
      {
        "title": "Architecture",
        "body": "Scanner (Node.js, every 15 min)\n  ↓ Rule-based pre-filter (fast)\n  ↓ Ollama validation per candidate (smart)\n  → alerts.json (only real signals)\n\nOpenClaw Cron (every 20 min)\n  → Read alerts.json\n  → If pending → alert Yuri via Telegram"
      },
      {
        "title": "Prerequisites",
        "body": "Node.js 18+\nOllama running locally with qwen3:32b (or any model)\nWindows Task Scheduler (or cron) for scanner loop"
      },
      {
        "title": "Files",
        "body": "hype-scanner/\n├── scanner-ai.js        ← main scanner (Node.js)\n├── alerts.json          ← output (pending alerts)\n├── scanner-state.json   ← cooldown + seen tokens\n└── scanner-ai.log       ← debug log"
      },
      {
        "title": "Step 1: Install Scanner",
        "body": "Clone or copy scanner-ai.js to your workspace:\n\n# No npm install needed — uses built-in https/http/fs\nnode scanner-ai.js"
      },
      {
        "title": "Step 2: Schedule with Windows Task Scheduler",
        "body": "Create a VBS wrapper for zero-flash execution:\n\n' ari-scanner.vbs\nSet oShell = CreateObject(\"WScript.Shell\")\noShell.Run \"cmd /c node C:\\path\\to\\hype-scanner\\scanner-ai.js >> C:\\path\\to\\hype-scanner\\scanner-ai.log 2>&1\", 0, False\n\nRegister in Task Scheduler:\n\nTrigger: Every 15 minutes\nAction: wscript.exe ari-scanner.vbs\nRun As: current user\nRun whether logged in or not"
      },
      {
        "title": "Step 3: Add OpenClaw Cron Alert Checker",
        "body": "Add this cron to OpenClaw (every 20 minutes):\n\n{\n  \"name\": \"Ari Alert Checker\",\n  \"schedule\": { \"kind\": \"every\", \"everyMs\": 1200000 },\n  \"payload\": {\n    \"kind\": \"agentTurn\",\n    \"message\": \"Check C:\\\\path\\\\to\\\\hype-scanner\\\\alerts.json. If pending alerts exist, send them to Telegram, then mark as seen (set seen: true on each). Format: 🦁 HYPE ALERT: [token] [source] confidence: [X]/10. If none → HEARTBEAT_OK.\",\n    \"timeoutSeconds\": 60\n  }\n}"
      },
      {
        "title": "Configuration",
        "body": "Edit scanner-ai.js top-level config:\n\nconst CONFIG = {\n  minHypeScore: 3,          // pre-filter threshold (Ollama does the real work)\n  volumeSpikeThreshold: 200, // volume spike % to flag\n  subreddits: ['wallstreetbets', 'CryptoCurrency', 'SatoshiStreetBets', 'memecoins', 'pennystocks'],\n  redditMinScore: 50,        // min Reddit post score\n  alertCooldownHours: 3,     // don't re-alert same token\n};"
      },
      {
        "title": "Alert Format (alerts.json)",
        "body": "[\n  {\n    \"id\": \"BTC-1706...\",\n    \"token\": \"BTC\",\n    \"sources\": [\"reddit\", \"coingecko\"],\n    \"hypeScore\": 8.5,\n    \"ollamaConfidence\": 7,\n    \"ollamaSummary\": \"Strong momentum across Reddit and CoinGecko trending. Institutional buying signals.\",\n    \"timestamp\": \"2026-02-24T04:30:00Z\",\n    \"seen\": false\n  }\n]"
      },
      {
        "title": "Ollama Model Options",
        "body": "ModelSpeedAccuracyUse Whenqwen3:32bSlow⭐⭐⭐⭐⭐Main analysisqwen2.5:7bFast⭐⭐⭐Heavy loadllama3.2:3bVery fast⭐⭐Fallback\n\nIf Ollama is overloaded (timeout), scanner falls back to rule-based scoring only."
      },
      {
        "title": "Integration with OpenClaw Morning/Evening Brief",
        "body": "Add to your Morning Brief cron:\n\nRead hype-scanner/alerts.json — pending alerts?\nIf yes → include in brief + mark as seen"
      },
      {
        "title": "Production Results",
        "body": "Running 24/7 on a trading system with:\n\n~96 scans/day\nAverage 0-3 real alerts/day (low noise)\nCaught BONK, WIF, and PENGU early in their runs\nZero false positives that triggered a bad trade"
      },
      {
        "title": "Philosophy",
        "body": "Quality over quantity.\nMost scanners spam you with noise. Ari is trained to stay quiet unless it's real.\n\nLocal AI, no API cost.\nOllama runs on your GPU. 10,000 analyses = $0.\n\nAutonomous. Silent. Alert only when it matters."
      }
    ],
    "body": "Hype Scanner 🦁 (Ari)\n\nDetect real hype before it hits the charts. Built for autonomous 24/7 operation.\n\nWhat It Does\n\nScans 4 sources every 15 minutes:\n\nReddit — 5 subreddits (wallstreetbets, CryptoCurrency, SatoshiStreetBets, memecoins, pennystocks)\nCoinGecko — trending + gainers\nDEXScreener — top token boosts (new launches)\nStockTwits — trending tickers\n\nAI validation layer (local Ollama, qwen3:32b):\n\nAnalyzes every candidate for real signal vs noise\nConfidence score 1-10 — only ≥6 becomes an alert\nZero API costs for the AI part\nArchitecture\nScanner (Node.js, every 15 min)\n  ↓ Rule-based pre-filter (fast)\n  ↓ Ollama validation per candidate (smart)\n  → alerts.json (only real signals)\n\nOpenClaw Cron (every 20 min)\n  → Read alerts.json\n  → If pending → alert Yuri via Telegram\n\nSetup\nPrerequisites\nNode.js 18+\nOllama running locally with qwen3:32b (or any model)\nWindows Task Scheduler (or cron) for scanner loop\nFiles\nhype-scanner/\n├── scanner-ai.js        ← main scanner (Node.js)\n├── alerts.json          ← output (pending alerts)\n├── scanner-state.json   ← cooldown + seen tokens\n└── scanner-ai.log       ← debug log\n\nStep 1: Install Scanner\n\nClone or copy scanner-ai.js to your workspace:\n\n# No npm install needed — uses built-in https/http/fs\nnode scanner-ai.js\n\nStep 2: Schedule with Windows Task Scheduler\n\nCreate a VBS wrapper for zero-flash execution:\n\n' ari-scanner.vbs\nSet oShell = CreateObject(\"WScript.Shell\")\noShell.Run \"cmd /c node C:\\path\\to\\hype-scanner\\scanner-ai.js >> C:\\path\\to\\hype-scanner\\scanner-ai.log 2>&1\", 0, False\n\n\nRegister in Task Scheduler:\n\nTrigger: Every 15 minutes\nAction: wscript.exe ari-scanner.vbs\nRun As: current user\nRun whether logged in or not\nStep 3: Add OpenClaw Cron Alert Checker\n\nAdd this cron to OpenClaw (every 20 minutes):\n\n{\n  \"name\": \"Ari Alert Checker\",\n  \"schedule\": { \"kind\": \"every\", \"everyMs\": 1200000 },\n  \"payload\": {\n    \"kind\": \"agentTurn\",\n    \"message\": \"Check C:\\\\path\\\\to\\\\hype-scanner\\\\alerts.json. If pending alerts exist, send them to Telegram, then mark as seen (set seen: true on each). Format: 🦁 HYPE ALERT: [token] [source] confidence: [X]/10. If none → HEARTBEAT_OK.\",\n    \"timeoutSeconds\": 60\n  }\n}\n\nConfiguration\n\nEdit scanner-ai.js top-level config:\n\nconst CONFIG = {\n  minHypeScore: 3,          // pre-filter threshold (Ollama does the real work)\n  volumeSpikeThreshold: 200, // volume spike % to flag\n  subreddits: ['wallstreetbets', 'CryptoCurrency', 'SatoshiStreetBets', 'memecoins', 'pennystocks'],\n  redditMinScore: 50,        // min Reddit post score\n  alertCooldownHours: 3,     // don't re-alert same token\n};\n\nAlert Format (alerts.json)\n[\n  {\n    \"id\": \"BTC-1706...\",\n    \"token\": \"BTC\",\n    \"sources\": [\"reddit\", \"coingecko\"],\n    \"hypeScore\": 8.5,\n    \"ollamaConfidence\": 7,\n    \"ollamaSummary\": \"Strong momentum across Reddit and CoinGecko trending. Institutional buying signals.\",\n    \"timestamp\": \"2026-02-24T04:30:00Z\",\n    \"seen\": false\n  }\n]\n\nOllama Model Options\nModel\tSpeed\tAccuracy\tUse When\nqwen3:32b\tSlow\t⭐⭐⭐⭐⭐\tMain analysis\nqwen2.5:7b\tFast\t⭐⭐⭐\tHeavy load\nllama3.2:3b\tVery fast\t⭐⭐\tFallback\n\nIf Ollama is overloaded (timeout), scanner falls back to rule-based scoring only.\n\nIntegration with OpenClaw Morning/Evening Brief\n\nAdd to your Morning Brief cron:\n\nRead hype-scanner/alerts.json — pending alerts?\nIf yes → include in brief + mark as seen\n\nProduction Results\n\nRunning 24/7 on a trading system with:\n\n~96 scans/day\nAverage 0-3 real alerts/day (low noise)\nCaught BONK, WIF, and PENGU early in their runs\nZero false positives that triggered a bad trade\nPhilosophy\n\nQuality over quantity. Most scanners spam you with noise. Ari is trained to stay quiet unless it's real.\n\nLocal AI, no API cost. Ollama runs on your GPU. 10,000 analyses = $0.\n\nAutonomous. Silent. Alert only when it matters."
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/peti0402/hype-scanner",
    "publisherUrl": "https://clawhub.ai/peti0402/hype-scanner",
    "owner": "peti0402",
    "version": "1.0.0",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/hype-scanner",
    "downloadUrl": "https://openagent3.xyz/downloads/hype-scanner",
    "agentUrl": "https://openagent3.xyz/skills/hype-scanner/agent",
    "manifestUrl": "https://openagent3.xyz/skills/hype-scanner/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/hype-scanner/agent.md"
  }
}