# Send Hype Scanner to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - 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. ## Suggested prompts ### New install ```text 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. ``` ### Upgrade existing ```text 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. ``` ## Machine-readable fields ```json { "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": { "downloadUrl": "/downloads/hype-scanner", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=hype-scanner", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "scanner-ai.js", "SKILL.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "slug": "hype-scanner", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-01T21:33:12.469Z", "expiresAt": "2026-05-08T21:33:12.469Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=hype-scanner", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=hype-scanner", "contentDisposition": "attachment; filename=\"hype-scanner-1.0.0.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "hype-scanner" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "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." ] } }, "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" } } ``` ## Documentation ### Hype Scanner 🦁 (Ari) Detect real hype before it hits the charts. Built for autonomous 24/7 operation. ### What It Does Scans 4 sources every 15 minutes: Reddit β€” 5 subreddits (wallstreetbets, CryptoCurrency, SatoshiStreetBets, memecoins, pennystocks) CoinGecko β€” trending + gainers DEXScreener β€” top token boosts (new launches) StockTwits β€” trending tickers AI validation layer (local Ollama, qwen3:32b): Analyzes every candidate for real signal vs noise Confidence score 1-10 β€” only β‰₯6 becomes an alert Zero API costs for the AI part ### Architecture Scanner (Node.js, every 15 min) ↓ Rule-based pre-filter (fast) ↓ Ollama validation per candidate (smart) β†’ alerts.json (only real signals) OpenClaw Cron (every 20 min) β†’ Read alerts.json β†’ If pending β†’ alert Yuri via Telegram ### Prerequisites Node.js 18+ Ollama running locally with qwen3:32b (or any model) Windows Task Scheduler (or cron) for scanner loop ### Files hype-scanner/ β”œβ”€β”€ scanner-ai.js ← main scanner (Node.js) β”œβ”€β”€ alerts.json ← output (pending alerts) β”œβ”€β”€ scanner-state.json ← cooldown + seen tokens └── scanner-ai.log ← debug log ### Step 1: Install Scanner Clone or copy scanner-ai.js to your workspace: # No npm install needed β€” uses built-in https/http/fs node scanner-ai.js ### Step 2: Schedule with Windows Task Scheduler Create a VBS wrapper for zero-flash execution: ' ari-scanner.vbs Set oShell = CreateObject("WScript.Shell") oShell.Run "cmd /c node C:\\path\\to\\hype-scanner\\scanner-ai.js >> C:\\path\\to\\hype-scanner\\scanner-ai.log 2>&1", 0, False Register in Task Scheduler: Trigger: Every 15 minutes Action: wscript.exe ari-scanner.vbs Run As: current user Run whether logged in or not ### Step 3: Add OpenClaw Cron Alert Checker Add this cron to OpenClaw (every 20 minutes): { "name": "Ari Alert Checker", "schedule": { "kind": "every", "everyMs": 1200000 }, "payload": { "kind": "agentTurn", "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 β†’ HEARTBEAT_OK.", "timeoutSeconds": 60 } } ### Configuration Edit scanner-ai.js top-level config: const CONFIG = { minHypeScore: 3, // pre-filter threshold (Ollama does the real work) volumeSpikeThreshold: 200, // volume spike % to flag subreddits: ['wallstreetbets', 'CryptoCurrency', 'SatoshiStreetBets', 'memecoins', 'pennystocks'], redditMinScore: 50, // min Reddit post score alertCooldownHours: 3, // don't re-alert same token }; ### Alert Format (alerts.json) [ { "id": "BTC-1706...", "token": "BTC", "sources": ["reddit", "coingecko"], "hypeScore": 8.5, "ollamaConfidence": 7, "ollamaSummary": "Strong momentum across Reddit and CoinGecko trending. Institutional buying signals.", "timestamp": "2026-02-24T04:30:00Z", "seen": false } ] ### Ollama Model Options ModelSpeedAccuracyUse Whenqwen3:32bSlow⭐⭐⭐⭐⭐Main analysisqwen2.5:7bFast⭐⭐⭐Heavy loadllama3.2:3bVery fast⭐⭐Fallback If Ollama is overloaded (timeout), scanner falls back to rule-based scoring only. ### Integration with OpenClaw Morning/Evening Brief Add to your Morning Brief cron: Read hype-scanner/alerts.json β€” pending alerts? If yes β†’ include in brief + mark as seen ### Production Results Running 24/7 on a trading system with: ~96 scans/day Average 0-3 real alerts/day (low noise) Caught BONK, WIF, and PENGU early in their runs Zero false positives that triggered a bad trade ### Philosophy Quality over quantity. Most scanners spam you with noise. Ari is trained to stay quiet unless it's real. Local AI, no API cost. Ollama runs on your GPU. 10,000 analyses = $0. Autonomous. Silent. Alert only when it matters. ## Trust - Source: tencent - Verification: Indexed source record - Publisher: peti0402 - Version: 1.0.0 ## Source health - Status: healthy - Item download looks usable. - Yavira can redirect you to the upstream package for this item. - Health scope: item - Reason: direct_download_ok - Checked at: 2026-05-01T21:33:12.469Z - Expires at: 2026-05-08T21:33:12.469Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/hype-scanner) - [Send to Agent page](https://openagent3.xyz/skills/hype-scanner/agent) - [JSON manifest](https://openagent3.xyz/skills/hype-scanner/agent.json) - [Markdown brief](https://openagent3.xyz/skills/hype-scanner/agent.md) - [Download page](https://openagent3.xyz/downloads/hype-scanner)