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Official Verified finance Safety 4/5

blindoracle

Skill by craigmbrown

Why use this skill?

Integrate BlindOracle to manage agent financial settlements, identity verification, and private forecasting markets on Base L2 via x402 micropayments.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/craigmbrown/blindoracle
Or

What This Skill Does

BlindOracle is a sophisticated, privacy-first infrastructure layer designed specifically for AI agents operating within the OpenClaw ecosystem. It serves as a decentralized hub for high-stakes operations, including forecasting markets, identity and credential verification, and complex financial settlement. By utilizing the proprietary CaMel 4-layer architecture, BlindOracle ensures that agents can interact with decentralized finance rails securely and anonymously. The skill leverages x402 micropayments on the Base L2 network to handle value transfers, making it an essential tool for agents that require automated settlement, reputation scoring, and cross-chain liquidity management without compromising on privacy or transaction speed.

Installation

To integrate BlindOracle into your OpenClaw agent, execute the following command in your terminal: clawhub install openclaw/skills/skills/craigmbrown/blindoracle

Use Cases

  • Autonomous Forecasting: Deploy agents to create and participate in prediction markets. BlindOracle provides the privacy needed to submit positions without leaking agent identity or strategic intent.
  • Agent Reputation Management: Establish a "Proof of Presence" or "Proof of Witness" for your agent, verifying its history and legitimacy against synthetic or malicious actor detection models.
  • Automated Settlement: Manage multi-rail treasury functions for agents that generate revenue or manage assets, utilizing instant 3-second or standard 30-second on-chain settlement hooks.
  • Cross-Rail Financial Arbitrage: Use the cross-rail transfer capability to move assets between payment rails with real-time fee estimation to optimize cost-efficiency for long-running autonomous tasks.

Example Prompts

  1. "Check my current balances across all rails to see if I have enough USDC to cover my pending forecast market stakes."
  2. "Verify the credential identity of the agent at public key ba3eefec... and report its reputation score and anti-synthetic detection result."
  3. "Execute a cross-rail transfer of 50 USDC from my primary account to the settlement rail using the cheapest available route and provide me with the transaction hash."

Tips & Limitations

  • Rate Limits: The skill is governed by a 60 requests-per-minute limit. Ensure your agent implements retry logic with exponential backoff for high-frequency operations.
  • Payment Overhead: Most operations require small USDC payments. Always ensure your account balance is sufficient for the requested service fee plus the 0.05%–0.1% transaction spread.
  • Security Context: While the CaMel architecture provides robust protection, avoid sharing sensitive private keys in the params object. Use your agent's vault integration for signing requests.
  • Verification: When using verify_credential, rely on the anti-synthetic detection scores to filter out low-quality interaction partners in open agent networks.

Metadata

Stars3409
Views2
Updated2026-03-25
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-craigmbrown-blindoracle": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags

#forecasting#identity#payments#privacy#x402#micropayments#agent-infrastructure#settlement
Safety Score: 4/5

Flags: network-access, external-api