Agent Trust Validator

What This Skill Does

The Agent Trust Validator by orosha-ai serves as a centralized, multi-protocol verification layer designed to establish confidence in autonomous agent identities. As the ecosystem of AI agents grows, the challenge of authenticating an agent's reputation, ownership, and credentials becomes paramount. This skill bridges the gap between disparate identity frameworks—including ERC-8004 on-chain reputations, ANS (Agent Name Service), and emerging standards like KYA and SATI. By querying these varied sources, the validator provides a comprehensive trust score ranging from 0.0 to 1.0, accompanied by a detailed audit trail that explains the provenance of the verification. It effectively mitigates risks associated with malicious or unverified agents, ensuring that your interactions are secure, transparent, and compliant with current decentralized identity protocols.

Installation

To integrate the Agent Trust Validator into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/orosha-ai/agent-trust-validator

Ensure that you have Python 3.9 or higher installed on your system. You will also need to have web3.py and the requests library configured in your environment to facilitate communication with blockchain RPCs and external APIs. You can verify the installation by running the provided verification scripts located within the skill directory.

Use Cases

This tool is critical for developers and enterprise architects building agentic workflows. Use it to: 1) Verify the reputation of a partner agent before allowing it to interact with your internal datasets. 2) Perform security audits on autonomous agents by reviewing their historical trust signals. 3) Automate compliance checks for agents participating in cross-chain transactions by leveraging ERC-8004 validation. 4) Batch process agent directories to whitelist or blacklist agents based on their aggregated trust scores before deployment.

Example Prompts

1. "Verify the agent with DID did:ethr:0x7f0f...a3b8 and give me a full breakdown of its trust score calculation."
2. "Check the reputation of the agent named 'trading-bot-alpha.ans' and log the audit results to my local file."
3. "Perform a batch verification for all agents listed in /data/agents.csv and generate a report of any agents with a trust score below 0.5."

Tips & Limitations

The Trust Score is highly dependent on the availability and accuracy of the underlying protocols. Currently, while ERC-8004 is fully supported, ANS and A2A integration is in a planned phase, meaning scores may reflect partial data. Always ensure your Ethereum RPC endpoint is reliable, as network latency or node downtime can affect the speed of your validation requests. If an agent does not have an on-chain identity, the score will be lower by default; encourage developers to register their agents on supported protocols for better verification results.