An automated on-chain security auditor for Solana tokens that detects rug-pull risks without requiring API keys or wallet connections.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install rug-checker
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 rug-checker 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 rug-checker?
The rug-checker is a specialized security tool designed for Openclaw Skills to help users identify potential scams on the Solana blockchain. It performs a comprehensive 10-point audit of any SPL token, analyzing critical factors like mint authority, liquidity provider (LP) locks, and holder concentration. By synthesizing data from Rugcheck, DexScreener, and Solana RPC nodes, it provides a clear, tier-based risk assessment ranging from SAFE to CRITICAL.
This skill is built for developers and traders who need instant, read-only verification of token contracts. Because it requires zero API keys and never interacts with your private wallet, it serves as a secure first line of defense in the fast-moving DeFi ecosystem. Whether you are checking a new meme coin or a high-volume asset, this integration within Openclaw Skills ensures you have technical due diligence at your fingertips.
rug-checker Use Cases
- Verifying if a new Solana token has a locked liquidity pool.
- Checking if a developer has the authority to mint more tokens or freeze holder accounts.
- Analyzing token holder concentration to identify potential insider manipulation.
- Resolving ambiguous token names to specific contract addresses for accurate auditing.
- Providing quick security snapshots directly within Discord or CLI environments.
How rug-checker Works
- Token Extraction: The agent parses user input for a Solana base58 address or a token symbol/name.
- Resolution: It runs a detection script to resolve names to addresses, presenting multiple options to the user if the query is ambiguous.
- Data Retrieval: The skill queries Rugcheck.xyz, DexScreener, and Solana RPC endpoints to gather on-chain metadata.
- Risk Scoring: A 10-point analysis is performed, weighting factors like LP status and freeze authority to generate a score from 0 to 100.
- Report Generation: The raw data is formatted into a visual Markdown report with color-coded risk tiers and specific warnings.
- Delivery: The agent presents the report to the user with tailored commentary and cautionary disclaimers.
rug-checker Setup
To install this skill within your Openclaw Skills environment, ensure you have the necessary system dependencies and script files in place.
First, install the required CLI tools:
sudo apt-get install jq bc curl
Ensure the shell scripts are executable:
chmod +x scripts/detect-token.sh scripts/analyze-risk.sh scripts/format-report.sh
The skill operates without API keys. Simply trigger it by asking your AI agent to "Rug check [token name or address]" once the Openclaw Skills framework is active.
rug-checker Data Schema & Taxonomy
The rug-checker organizes data into a structured JSON object before rendering the Markdown report. Below is the primary data structure used during the analysis phase:
| Attribute | Description |
|---|---|
| address | The base58 Solana mint address. |
| composite_score | A 0-100 integer representing total risk. |
| tier | Category (SAFE, CAUTION, WARNING, DANGER, CRITICAL). |
| checks | An array of 10 boolean results for specific risk factors. |
| market_data | Includes liquidity, FDV, and token age from DexScreener. |
| risk_flags | Specific on-chain warnings like Mint Authority or Freeze Authority enabled. |
rug-checker Advanced Features
- Discord v2 Delivery Mode: Optimized for chat interfaces with compact summaries and interactive components for full breakdowns within Openclaw Skills.
- Multi-Source Triangulation: Combines Rugcheck, DexScreener, and RPC data to ensure reliability even if one source is down.
- Automatic Name Resolution: Search for tokens by symbol or name with built-in ambiguity handling to prevent checking the wrong contract.
- Zero-Knowledge Security: Operates in a strictly read-only mode with no wallet interaction, making it a safe addition to any Openclaw Skills suite.
- Automated Risk Commentary: Generates context-aware advice based on the calculated risk tier without providing financial recommendations.
SKILL.md
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