A high-precision on-chain intelligence toolkit designed to identify and analyze high-conviction token launches and narratives on the Base blockchain.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install base-alpha-scanner
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install base-alpha-scanner using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Base Alpha Scanner?
Base Alpha Scanner is a technical intelligence framework built for the Base ecosystem, providing developers and analysts with a data-first approach to on-chain discovery. As a standout entry in the Openclaw Skills library, it bypasses market hype by focusing on hard metrics like liquidity, volume spikes, and holder concentration. The skill is specifically optimized for finding second-wave setups, monitoring early gem launches, and tracking the migration of smart money across the network.
By leveraging this component of Openclaw Skills, users can automate the surveillance of Farcaster-native platforms like Clanker and Bankr.fun, alongside emerging AI sectors such as the VIRTUAL Protocol. The tool interprets complex on-chain signals into a unified Conviction Score, allowing for objective decision-making in the volatile memecoin and AI agent markets.
Base Alpha Scanner Use Cases
- Detecting early Base memecoin launches within 0-45 minute windows for maximum alpha.
- Analyzing token holder distribution to identify supply concentration and potential risks.
- Monitoring smart money flows on GMGN and cross-referencing with DexScreener maker counts.
- Tracking the VIRTUAL Protocol ecosystem for new AI agent launches and narrative shifts.
- Generating automated trade alerts for high-conviction setups on Base, including BTC, ETH, and UNI levels.
How Base Alpha Scanner Works
- The core scanner runs
scan_base.pyto index trending or new tokens based on specific timeframe windows. - It calculates a Conviction Score (0-100) by weighting volume, buy pressure, liquidity depth, and asset age.
- For tokens meeting the score threshold, it executes a deep-dive holder analysis to flag supply manipulation.
- It simultaneously runs narrative-specific scans via
scan_narrative.pyto capture platform-specific launches on Clanker or Bankr. - The system applies tiered alert rules to filter noise, only triggering pings for high-conviction signals or second-wave sustained momentum.
Base Alpha Scanner Setup
To deploy this skill from the Openclaw Skills repository, use the following commands:
# Navigate to the skill directory
cd skills/base-alpha-scanner
# Install dependencies
pip install -r requirements.txt
# Run a trending scan to identify current market leaders
python3 scripts/scan_base.py --mode trending
# Perform a narrative scan for AI-based tokens
python3 scripts/scan_narrative.py --mode ai
Base Alpha Scanner Data Schema & Taxonomy
The Base Alpha Scanner organizes its intelligence into structured data tables for easy integration:
| Data Point | Metric Type | Description |
|---|---|---|
| Conviction Score | Integer (0-100) | Weighted average of momentum, volume, and liquidity. |
| Holder Percent | Percentage | Total supply held by the top 5 or 10 wallets. |
| Platform Source | String | Origin of the token (Clanker, Bankr, Virtual, etc.). |
| Time Window | Enum | Classification as 'new' (<45m) or 'second-wave' (45m-3h). |
| Liquidity Alert | Boolean | Flagged if liquidity exceeds $100K threshold for Tier 1. |
Base Alpha Scanner Advanced Features
- Intelligent browser-fallback automation to scrape GMGN smart money data when API access is restricted.
- Narrative-specific scanning for Farcaster power users and Warpcast channel signals.
- Customizable conviction scoring algorithm to prioritize specific risk-reward profiles.
- Real-time monitoring of cbBTC and VIRTUAL token flows for institutional and AI narrative tracking.
- Seamless integration with other Openclaw Skills for automated multi-agent trading workflows.
SKILL.md
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