A security-focused utility designed to scan Solana tokens for liquidity risks, holder concentration, and common rug pull indicators using free public APIs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install solana-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 solana-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 Solana Token Scanner?
The Solana Token Scanner is a specialized tool within the Openclaw Skills ecosystem that allows developers and traders to perform instant safety audits on any Solana mint address. It aggregates critical market data from DexScreener, Jupiter, and the Solana RPC to evaluate the health of a token without requiring expensive API subscriptions or complex setups.
This skill is particularly valuable for users who need to navigate the volatile Solana ecosystem by identifying red flags such as low liquidity, suspicious price action, or extreme holder concentration. By providing a clear safety score and detailed metrics, it empowers users to make data-driven decisions when interacting with new or existing tokens.
Solana Token Scanner Use Cases
- Detecting rug pull risks in newly launched memecoins.
- Evaluating token liquidity and volume before high-value trades.
- Analyzing top holder concentration to identify potential whale manipulation.
- Verifying the legitimacy of a token mint address by checking pair age and DEX listings.
How Solana Token Scanner Works
- The AI agent receives a Solana mint address from the user.
- A bash script is triggered to query DexScreener and Jupiter Price APIs for real-time market data.
- The skill interacts with the Solana RPC to fetch supply information and identify the largest token holders.
- A Python-based analysis engine processes the raw data to calculate a safety score based on predefined risk signals.
- The final report is presented with clear risk ratings ranging from RELATIVELY_SAFE to AVOID.
Solana Token Scanner Setup
This skill requires standard system utilities including bash, curl, and python3. To begin using it as part of your Openclaw Skills library, follow these steps:
# Execute the scan and analysis workflow
bash scripts/scan-token.sh <MINT_ADDRESS> | python3 scripts/analyze-token.py
To bypass public rate limits for deeper holder analysis, you can optionally set a custom RPC URL:
export SOLANA_RPC_URL='https://your-custom-rpc-endpoint.com'
Solana Token Scanner Data Schema & Taxonomy
The scanner organizes technical metadata into an actionable safety report. The following table outlines the core data points analyzed:
| Category | Metric | Risk Threshold |
|---|---|---|
| Liquidity | Pool size in USD | High risk if < $1,000 |
| Volume | 24h Trading Volume | Dead token if < $100 |
| Holders | Top 10 Concentration | Extreme risk if > 50% |
| Age | Pair Creation Time | Very high risk if < 24h |
| Price | 24h % Change | Dump signal if > -50% |
Solana Token Scanner Advanced Features
- Support for custom RPC providers like Helius or QuickNode for high-frequency scanning.
- Automated red-flag detection based on DEX listing status and pool availability.
- Numerical safety scoring (0-100) for standardized risk assessment.
- Real-time price and volume tracking via Jupiter and DexScreener integrations.
SKILL.md
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