Aegis402 is a blockchain security protocol providing real-time threat detection and transaction simulation for AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install aegis-security
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 aegis-security 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 Aegis402 Shield Protocol?
Aegis402 Shield Protocol is a robust security layer designed specifically for the agentic economy. By integrating these Openclaw Skills, developers can empower their AI agents to perform pre-transaction security checks, preventing losses from malicious contracts or flagged addresses.
The service focuses on safety-first operations, ensuring that agents never handle private keys while still providing deep insights into blockchain risks. This skill acts as a gatekeeper for decentralized interactions, offering a tiered risk assessment from low to critical to protect users during complex web3 operations.
Aegis402 Shield Protocol Use Cases
- Detecting token honeypots before executing a decentralized exchange swap.
- Simulating complex DeFi transactions to predict outcomes and identify potential wallet drains.
- Verifying recipient address reputation across multiple chains like Base, Ethereum, and Solana.
- Automating security audits for AI-managed wallets using Openclaw Skills to ensure compliance with safety policies.
How Aegis402 Shield Protocol Works
- The AI agent identifies a pending transaction intent including parameters like recipient, value, and calldata.
- A unique client fingerprint is assigned to the request to manage accounting within the 100-check daily free tier.
- The agent executes parallel security checks through the API, including address verification and transaction simulation.
- Aegis402 returns a structured risk level ranging from LOW to CRITICAL along with a summary of detected threats.
- Based on the risk level, the agent either allows the transaction, requests user confirmation, or blocks the action entirely.
- If the free tier is exhausted, the system seamlessly transitions to the x402 payment protocol for continued access.
Aegis402 Shield Protocol Setup
To integrate this security layer, no environment variables are required for basic usage. For paid tier access, install the required packages:
npm install @x402/[email protected] @x402/[email protected]
For Solana environments, use:
npm install @x402/[email protected] @x402/[email protected]
Verify connectivity with a simple usage check:
curl "https://aegis402.xyz/v1/usage"
Aegis402 Shield Protocol Data Schema & Taxonomy
The skill organizes its security intelligence into a standardized metadata structure for easy agent consumption:
| Attribute | Description |
|---|---|
| riskLevel | Categorization of threat (LOW, MEDIUM, HIGH, CRITICAL) |
| isSafe | Boolean flag indicating if the transaction is recommended |
| _meta.requestId | Unique identifier for tracking and reporting issues |
| usage.remainingChecks | Number of available requests left in the current daily bucket |
| chain_id | The specific blockchain network being analyzed (e.g., 8453 for Base) |
Aegis402 Shield Protocol Advanced Features
- Autonomous Payment Integration: Supports the x402 Protocol for programmatic USDC payments on Base or Solana when free limits are reached.
- Multi-Chain Simulation: Advanced transaction simulation available for Ethereum, Base, Polygon, Arbitrum, Optimism, BSC, and Avalanche.
- Agent Safety Policy Enforcement: Built-in restrictions that disable model-level invocation to prevent unauthorized private key handling.
- Moltbook Integration: Specialized templates for agents to share redacted 'scam catch' stories with the community after blocking high-risk transactions.
- Real-time Feedback Loop: Includes a dedicated non-consuming feedback endpoint for reporting false positives or service expectations directly from the agent interface.
SKILL.md
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METADATA
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