技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 252 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：可疑 · OpenClaw ：可疑
Package：a4205586/base-alpha-scanner
安全扫描（ClawHub）
- VirusTotal ：可疑
- OpenClaw ：可疑
OpenClaw 评估
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.
目的
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 invo…
说明范围
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 bro…
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).
证书
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, Vir…
持久
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.
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Base Alpha Scanner」。简介：Real-time Base chain alpha intelligence for ZHAO (CryptoZhaoX). Use when scanni…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/a4205586/base-alpha-scanner/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: base-alpha-scanner
description: "Real-time Base chain alpha intelligence for ZHAO (CryptoZhaoX). Use when scanning Base memecoins for second-wave setups or early gem launches; checking GMGN smart money flows; analyzing holder distribution for a Base token; scanning Clanker or Bankr.fun for high-quality narrative token deployments; monitoring VIRTUAL Protocol AI agent launches; running the AI narrative scanner on Base; generating trade alerts on Base memecoins or mainstream assets (BTC/ETH/UNI); any on-chain analysis task on Base chain."
---
# Base Alpha Scanner
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 <mode> [addr]
```
Modes:
- `trending` — Top Base tokens ranked by conviction score (1h)
- `new` — Early launch scanner: 0–45min + 45min–3h windows
- `token <addr>` — Deep dive on specific token (all timeframes)
- `holders <addr>` — Holder distribution + concentration check
- `gmgn <addr>` — GMGN smart money data (may need browser fallback)
### scan_narrative.py — Narrative & platform scanner
```
python3 skills/base-alpha-scanner/scripts/scan_narrative.py --mode <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):
1. `scan_base.py --mode trending` → identify what's moving
2. For anything score ≥ 60: `scan_base.py --mode token <addr>` → deep dive
3. If AI narrative or Farcaster signals: `scan_narrative.py --mode ai` + `clanker`
4. Apply alert rules → ping ZHAO only if threshold met
### Early launch scan (continuous background):
1. `scan_base.py --mode new` → check 0–45min window
2. Score ≥ 60 + clean signals → immediate check with `token` mode
3. Cross-reference with `scan_narrative.py --mode clanker` for Farcaster origin
4. If all checks pass → early gem ping
### Holder distribution check:
1. `scan_base.py --mode holders <addr>`
2. Flag if top-5 > 40% supply or any single wallet > 15%
3. 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:
1. Use `browser` tool to navigate `https://gmgn.ai/base/token/<addr>`
2. Take screenshot for ZHAO if needed
3. Check wallet history at `https://gmgn.ai/base/address/<wallet>`
## 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