{ "schemaVersion": "1.0", "item": { "slug": "base-alpha-scanner", "name": "Base Alpha Scanner", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/a4205586/base-alpha-scanner", "canonicalUrl": "https://clawhub.ai/a4205586/base-alpha-scanner", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/base-alpha-scanner", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=base-alpha-scanner", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "SKILL.md", "references/alert-rules.md", "references/api-endpoints.md", "scripts/scan_base.py", "scripts/scan_narrative.py" ], "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": "2026-04-23T16:43:11.935Z", "expiresAt": "2026-04-30T16:43:11.935Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.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/base-alpha-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/base-alpha-scanner", "agentPageUrl": "https://openagent3.xyz/skills/base-alpha-scanner/agent", "manifestUrl": "https://openagent3.xyz/skills/base-alpha-scanner/agent.json", "briefUrl": "https://openagent3.xyz/skills/base-alpha-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": "Base Alpha Scanner", "body": "ZHAO's on-chain intelligence toolkit for Base chain. Data-first, no hype. Alert only on high-conviction setups." }, { "title": "scan_base.py — Core on-chain scanner", "body": "python3 skills/base-alpha-scanner/scripts/scan_base.py --mode [addr]\n\nModes:\n\ntrending — Top Base tokens ranked by conviction score (1h)\nnew — Early launch scanner: 0–45min + 45min–3h windows\ntoken — Deep dive on specific token (all timeframes)\nholders — Holder distribution + concentration check\ngmgn — GMGN smart money data (may need browser fallback)" }, { "title": "scan_narrative.py — Narrative & platform scanner", "body": "python3 skills/base-alpha-scanner/scripts/scan_narrative.py --mode \n\nModes:\n\nclanker — Latest Clanker token deployments on Base\nbankr — Bankr.fun trending tokens (Farcaster-native)\nvirtual — VIRTUAL Protocol AI agent ecosystem\nai — Broad AI narrative scan across Base" }, { "title": "Standard market scan (run on demand or every 1–2h):", "body": "scan_base.py --mode trending → identify what's moving\nFor anything score ≥ 60: scan_base.py --mode token → deep dive\nIf AI narrative or Farcaster signals: scan_narrative.py --mode ai + clanker\nApply alert rules → ping ZHAO only if threshold met" }, { "title": "Early launch scan (continuous background):", "body": "scan_base.py --mode new → check 0–45min window\nScore ≥ 60 + clean signals → immediate check with token mode\nCross-reference with scan_narrative.py --mode clanker for Farcaster origin\nIf all checks pass → early gem ping" }, { "title": "Holder distribution check:", "body": "scan_base.py --mode holders \nFlag if top-5 > 40% supply or any single wallet > 15%\nCross with DexScreener buy/sell maker count to confirm real distribution" }, { "title": "Alert Rules", "body": "Read references/alert-rules.md for full ruleset. Summary:\n\nImmediate ping: Tier 1 only (vol spike + narrative + clean chart + liq > $100K)\nSecond-wave alert: 45min–3h old, sustained vol + holder growth, score ≥ 65\nEarly gem: <45min, score ≥ 60, clean team, real momentum. Max 2–3/day\nMainstream (BTC/ETH/UNI): Key level breaks, on-chain flows, funding extremes" }, { "title": "API Reference", "body": "See references/api-endpoints.md for all endpoints, field names, and data source details.\n\nKey addresses:\n\nVIRTUAL token (Base): 0x0b3e328455c4059EEb9e3f84b5543F74E24e7E1b\ncbBTC (Base): 0xcbB7C0000aB88B473b1f5aFd9ef808440eed33Bf" }, { "title": "Conviction Score (0–100)", "body": "Built into scan_base.py. Score ≥ 65 = alert candidate. Score < 50 = ignore.\nFactors: 1h volume, liquidity, buy pressure ratio, age (45min–3h = peak), momentum, mcap." }, { "title": "GMGN Notes", "body": "GMGN often blocks direct API access. Fallback options:\n\nUse browser tool to navigate https://gmgn.ai/base/token/\nTake screenshot for ZHAO if needed\nCheck wallet history at https://gmgn.ai/base/address/" }, { "title": "Bankr Notes", "body": "No clean public API. Bankr alpha comes from Warpcast:\n\nChannel: https://warpcast.com/~/channel/bankr\nUse web_search for recent Bankr mentions + web_fetch on Warpcast casts\nHigh signal: power users (>5K followers) buying via Bankr frame in <30min of launch" } ], "body": "Base Alpha Scanner\n\nZHAO's on-chain intelligence toolkit for Base chain. Data-first, no hype. Alert only on high-conviction setups.\n\nScripts\nscan_base.py — Core on-chain scanner\npython3 skills/base-alpha-scanner/scripts/scan_base.py --mode [addr]\n\n\nModes:\n\ntrending — Top Base tokens ranked by conviction score (1h)\nnew — Early launch scanner: 0–45min + 45min–3h windows\ntoken — Deep dive on specific token (all timeframes)\nholders — Holder distribution + concentration check\ngmgn — GMGN smart money data (may need browser fallback)\nscan_narrative.py — Narrative & platform scanner\npython3 skills/base-alpha-scanner/scripts/scan_narrative.py --mode \n\n\nModes:\n\nclanker — Latest Clanker token deployments on Base\nbankr — Bankr.fun trending tokens (Farcaster-native)\nvirtual — VIRTUAL Protocol AI agent ecosystem\nai — Broad AI narrative scan across Base\nWorkflow\nStandard market scan (run on demand or every 1–2h):\nscan_base.py --mode trending → identify what's moving\nFor anything score ≥ 60: scan_base.py --mode token → deep dive\nIf AI narrative or Farcaster signals: scan_narrative.py --mode ai + clanker\nApply alert rules → ping ZHAO only if threshold met\nEarly launch scan (continuous background):\nscan_base.py --mode new → check 0–45min window\nScore ≥ 60 + clean signals → immediate check with token mode\nCross-reference with scan_narrative.py --mode clanker for Farcaster origin\nIf all checks pass → early gem ping\nHolder distribution check:\nscan_base.py --mode holders \nFlag if top-5 > 40% supply or any single wallet > 15%\nCross with DexScreener buy/sell maker count to confirm real distribution\nAlert Rules\n\nRead references/alert-rules.md for full ruleset. Summary:\n\nImmediate ping: Tier 1 only (vol spike + narrative + clean chart + liq > $100K)\nSecond-wave alert: 45min–3h old, sustained vol + holder growth, score ≥ 65\nEarly gem: <45min, score ≥ 60, clean team, real momentum. Max 2–3/day\nMainstream (BTC/ETH/UNI): Key level breaks, on-chain flows, funding extremes\nAPI Reference\n\nSee references/api-endpoints.md for all endpoints, field names, and data source details.\n\nKey addresses:\n\nVIRTUAL token (Base): 0x0b3e328455c4059EEb9e3f84b5543F74E24e7E1b\ncbBTC (Base): 0xcbB7C0000aB88B473b1f5aFd9ef808440eed33Bf\nConviction Score (0–100)\n\nBuilt into scan_base.py. Score ≥ 65 = alert candidate. Score < 50 = ignore. Factors: 1h volume, liquidity, buy pressure ratio, age (45min–3h = peak), momentum, mcap.\n\nGMGN Notes\n\nGMGN often blocks direct API access. Fallback options:\n\nUse browser tool to navigate https://gmgn.ai/base/token/\nTake screenshot for ZHAO if needed\nCheck wallet history at https://gmgn.ai/base/address/\nBankr Notes\n\nNo clean public API. Bankr alpha comes from Warpcast:\n\nChannel: https://warpcast.com/~/channel/bankr\nUse web_search for recent Bankr mentions + web_fetch on Warpcast casts\nHigh signal: power users (>5K followers) buying via Bankr frame in <30min of launch" }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/a4205586/base-alpha-scanner", "publisherUrl": "https://clawhub.ai/a4205586/base-alpha-scanner", "owner": "a4205586", "version": "1.0.0", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/base-alpha-scanner", "downloadUrl": "https://openagent3.xyz/downloads/base-alpha-scanner", "agentUrl": "https://openagent3.xyz/skills/base-alpha-scanner/agent", "manifestUrl": "https://openagent3.xyz/skills/base-alpha-scanner/agent.json", "briefUrl": "https://openagent3.xyz/skills/base-alpha-scanner/agent.md" } }