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Base Alpha Scanner — 技能工具

v1.0.0

Real-time Base chain alpha intelligence for ZHAO (CryptoZhaoX). Use when scanning Base memecoins for second-wave setups or early gem launches; checking GMGN...

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by @a4205586·MIT-0
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License
MIT-0
最后更新
2026/4/12
安全扫描
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可疑
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OpenClaw
可疑
medium confidence
The skill's code and docs mostly match the stated purpose (Base chain alpha scanning), but there are multiple coherence and quality issues (path mismatches, an undeclared/optional API key, and at least one code bug) that make the package risky to run without review.
评估建议
This package looks like a legitimate Base-chain scanner, but do not run it unreviewed. Specific points to consider before installing or executing: - Fix the path mismatch: SKILL.md references `skills/base-alpha-scanner/scripts/...` while files live under `scripts/...`; adjust invocation or file placement to avoid runtime errors. - The code references a Basescan API key (and includes a placeholder apikey param) but the skill does not declare required env vars; if you supply BASESCAN_API_KEY, trea...
详细分析 ▾
ℹ 用途与能力
Name/description align with the included scripts: both scan on-chain data (DexScreener, Basescan, GMGN) and narrative sources (Clanker, Bankr, Virtual). The external endpoints called are appropriate for on-chain/narrative scanning. Minor mismatch: SKILL.md shows invocation paths like `python3 skills/base-alpha-scanner/scripts/scan_base.py` while the packaged files are at `scripts/scan_base.py` — this path inconsistency could break runtime invocation or cause confusion.
ℹ 指令范围
SKILL.md instructs running the included Python scripts and using browser/web_fetch for sites that require sessions (GMGN, Warpcast). Those instructions stay within the described scanning purpose. However SKILL.md suggests both on-demand and 'continuous background' operation; the package contains only standalone scripts (no daemon/service) — continuous behavior would require external orchestration. SKILL.md also references using the agent's browser tool and screenshots for GMGN, which is manual/interactive rather than autonomous.
✓ 安装机制
No install spec or remote downloads; the skill is instruction + included Python scripts only. That is low install risk (nothing is fetched or executed at install time).
ℹ 凭证需求
The code and references mention an optional BASESCAN_API_KEY and show an `apikey` placeholder in the Basescan URL; yet the skill declares no required env vars. Not declaring optional but used credentials is potentially confusing but not necessarily malicious. Aside from that, no unrelated secrets or unusual environment access are requested. The scripts make many outbound requests to public APIs (DexScreener, Basescan, GMGN, Clanker, Bankr, Virtual), which is consistent with the stated purpose.
✓ 持久化与权限
Flags show normal defaults (always: false, agent can invoke autonomously). The skill does not request permanent/always-on inclusion or modify other skills. It merely provides scripts for on-demand scanning.
安全有层次，运行前请审查代码。

License

MIT-0

可自由使用、修改和再分发，无需署名。

运行时依赖

无特殊依赖

版本

latestv1.0.02026/3/1

**Initial release of base-alpha-scanner: real-time on-chain intelligence toolkit for Base chain.** - Provides scripts to scan Base memecoins, new launches, holder distributions, and smart money flows. - Adds narrative/platform monitoring for Clanker, Bankr.fun, VIRTUAL Protocol, and AI trends. - Includes a conviction scoring system for automated alerting based on volume, liquidity, and momentum. - Outlines workflows for market scans, early launch detection, and holder analysis. - Documents alert rules and API endpoints for streamlined integration and use.

● 可疑

安装命令 点击复制

官方npx clawhub@latest install base-alpha-scanner
镜像加速npx clawhub@latest install base-alpha-scanner --registry https://cn.clawhub-mirror.com

技能文档

ZHAO's on-chain intelligence toolkit for Base chain. Data-first, no hype. Alert only on high-conviction setups.

Scripts

scan_base.py — Core on-chain scanner

python3 skills/base-alpha-scanner/scripts/scan_base.py --mode  [addr]
Modes:
  • trending — Top Base tokens ranked by conviction score (1h)
  • new — Early launch scanner: 0–45min + 45min–3h windows
  • token — Deep dive on specific token (all timeframes)
  • holders — Holder distribution + concentration check
  • gmgn — GMGN smart money data (may need browser fallback)

scan_narrative.py — Narrative & platform scanner

python3 skills/base-alpha-scanner/scripts/scan_narrative.py --mode
Modes:
  • clanker — Latest Clanker token deployments on Base
  • bankr — Bankr.fun trending tokens (Farcaster-native)
  • virtual — VIRTUAL Protocol AI agent ecosystem
  • ai — Broad AI narrative scan across Base

Workflow

Standard market scan (run on demand or every 1–2h):

  • scan_base.py --mode trending → identify what's moving
  • For anything score ≥ 60: scan_base.py --mode token → deep dive
  • If AI narrative or Farcaster signals: scan_narrative.py --mode ai + clanker
  • Apply alert rules → ping ZHAO only if threshold met

Early launch scan (continuous background):

  • scan_base.py --mode new → check 0–45min window
  • Score ≥ 60 + clean signals → immediate check with token mode
  • Cross-reference with scan_narrative.py --mode clanker for Farcaster origin
  • If all checks pass → early gem ping

Holder distribution check:

  • scan_base.py --mode holders
  • Flag if top-5 > 40% supply or any single wallet > 15%
  • Cross with DexScreener buy/sell maker count to confirm real distribution

Alert Rules

Read references/alert-rules.md for full ruleset. Summary:

  • Immediate ping: Tier 1 only (vol spike + narrative + clean chart + liq > $100K)
  • Second-wave alert: 45min–3h old, sustained vol + holder growth, score ≥ 65
  • Early gem: <45min, score ≥ 60, clean team, real momentum. Max 2–3/day
  • Mainstream (BTC/ETH/UNI): Key level breaks, on-chain flows, funding extremes

API Reference

See references/api-endpoints.md for all endpoints, field names, and data source details.

Key addresses:

  • VIRTUAL token (Base): 0x0b3e328455c4059EEb9e3f84b5543F74E24e7E1b
  • cbBTC (Base): 0xcbB7C0000aB88B473b1f5aFd9ef808440eed33Bf

Conviction Score (0–100)

Built into scan_base.py. Score ≥ 65 = alert candidate. Score < 50 = ignore. Factors: 1h volume, liquidity, buy pressure ratio, age (45min–3h = peak), momentum, mcap.

GMGN Notes

GMGN often blocks direct API access. Fallback options:

  • Use browser tool to navigate https://gmgn.ai/base/token/
  • Take screenshot for ZHAO if needed
  • Check wallet history at https://gmgn.ai/base/address/

Bankr Notes

No clean public API. Bankr alpha comes from Warpcast:

  • Channel: https://warpcast.com/~/channel/bankr
  • Use web_search for recent Bankr mentions + web_fetch on Warpcast casts
  • High signal: power users (>5K followers) buying via Bankr frame in <30min of launch
数据来源：ClawHub ↗ · 中文优化：龙虾技能库
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