A specialized security tool designed to analyze crypto token contracts for malicious patterns and rug-pull risks.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install is-token-safe
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install is-token-safe using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
IsTokenSafe is a security-centric module within the Openclaw Skills ecosystem that provides automated auditing for cryptocurrency tokens. It acts as a defensive layer for AI agents, scanning smart contract metadata to detect common vulnerabilities, scam signatures, and high-risk configurations that suggest a potential rug-pull.
By integrating this skill, developers can equip their agents with the ability to perform instant due diligence. Whether you are building a trading bot or a market research tool, IsTokenSafe ensures that your automated workflows are informed by technical safety signals, reducing exposure to fraudulent blockchain projects.
To add IsTokenSafe to your agent environment, use the following command to integrate it with your existing Openclaw Skills:
openclaw install is-token-safe
Ensure you have configured your provider settings with the necessary blockchain explorer API keys to allow the skill to fetch contract data effectively.
The skill produces a structured JSON output that allows Openclaw Skills to make logic-based decisions. The data is organized as follows:
| Attribute | Format | Description |
|---|---|---|
| risk_level | String | Returns 'low', 'medium', or 'high' based on the analysis. |
| reason_summary | String | A concise explanation of why the specific risk level was assigned. |
| token_address | String | The specific contract address that was analyzed. |
| metadata_flags | Array | A list of specific technical triggers identified during the scan. |
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