A powerful tool for AI agents to analyze Solana tokens for safety, risk scores, and potential rug pull indicators.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install rugcheck
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 rugcheck 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 RugCheck Solana Risk Analysis?
The RugCheck skill empowers AI agents to perform deep technical audits on Solana-based tokens. By interfacing with the RugCheck API, it provides critical insights into token safety, including liquidity locking status, holder concentration, and metadata mutability. This skill is essential for users who need to verify the legitimacy of new or trending Solana projects before interacting with them, making Openclaw Skills a vital part of a secure crypto workflow.
This skill requires no API keys for standard read operations, allowing for immediate integration into automated research workflows. It translates complex blockchain data into actionable risk scores (0-100), enabling developers and traders to quickly identify high-risk assets through a standardized evaluation framework.
RugCheck Solana Risk Analysis Use Cases
- Verifying the safety of a specific Solana token mint address before investment.
- Identifying high-risk indicators like unlocked liquidity or mutable metadata.
- Researching insider trading patterns and connected wallet networks to avoid manipulation.
- Monitoring trending, new, or recently verified tokens on the Solana network automatically.
- Auditing top holder distribution to detect potential centralization and dump risks.
How RugCheck Solana Risk Analysis Works
- The AI agent receives a Solana token mint address from a user or another automated process.
- The skill executes a bash script to query the RugCheck API for either a risk summary or a full detailed report.
- The API returns structured data including a normalized risk score, LP lock status, and specific risk flags.
- The skill parses the response to identify critical red flags such as "Mutable metadata," "Single holder dominance," or "Low Liquidity."
- The findings are synthesized into a human-readable format, providing a clear verdict on the token's safety profile.
RugCheck Solana Risk Analysis Setup
To integrate this capability into your Openclaw Skills library, use the provided bash scripts for execution. No external API key is required for basic lookups.
# Get a quick risk summary (score and flags)
bash scripts/rugcheck.sh summary <MINT_ADDRESS>
# Generate a full detailed report (holders, markets, LP details)
bash scripts/rugcheck.sh report <MINT_ADDRESS>
# Discover currently trending tokens on Solana
bash scripts/rugcheck.sh trending
RugCheck Solana Risk Analysis Data Schema & Taxonomy
The skill organizes token data into several specific categories to ensure clarity in risk assessment:
| Data Point | Description |
|---|---|
| Risk Score | A normalized 0-100 value (Below 30 is Low Risk, above 60 is High Risk). |
| Risk Flags | An array containing specific warnings like Low Liquidity or LP Not Locked. |
| LP Status | Percentage of liquidity pool tokens that are securely locked in vaults. |
| Token Metadata | Verification of whether metadata is mutable and who the update authority is. |
| Holder Distribution | Analysis of the top 10 holders and their percentage of total supply. |
| Insider Networks | Identification of connected clusters of wallets and creator balances. |
RugCheck Solana Risk Analysis Advanced Features
- Insider Network Detection: Maps out connected wallet clusters to identify potential developer-controlled groups.
- Real-time Market Discovery: Dedicated commands to fetch the newest, most viewed, and recently verified tokens.
- LP Locker Analysis: Provides specific vault and locker information for liquidity provider tokens.
- Community Sentiment: Accesses community voting data to gauge platform-wide sentiment on specific assets.
- Automated Red-Flag Checklist: Automatically flags freeze authority and mint authority presence for high-security environments.
SKILL.md
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