Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
Rebranded to OpenClaw
What This Skill Does
Scans crypto tokens for rug pull indicators across Solana and EVM chains. Checks holder concentration, liquidity lock status, honeypot patterns, contract verification, and copycat similarity against known scams. Returns a 0-100 risk score with per-check breakdowns.
Aggregates holder data, liquidity status, and contract analysis into one risk score instead of manually checking multiple block explorers.
When to use it
- Check a new memecoin before buying
- Verify liquidity is locked on an unfamiliar token
- Detect copycat tokens mimicking popular projects
- Run automated safety checks inside a trading bot
- Review holder distribution of an unknown contract address
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Is PEPE safe to buy?
- 1Resolve PEPE symbol to its canonical contract address
- 2Fetch general analysis including liquidity lock status and token age
- 3Check copycat similarity against known scam tokens
- 4Retrieve holder distribution for top wallet concentration
- 5Compile results into a risk score with per-check pass/fail flags
Risk score 35/100 (Lower Risk): no copycat detected, liquidity locked 12 months, contract verified, top 10 wallets hold 42% of supply
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.