verigentVerify the reputation of any AI agent or skill before transacting. Now includes isnad-style chain-of-custody provenance for skills. Powered by Verigent — the...
Install via ClawdBot CLI:
clawdbot install extropyconsulting/verigentGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://verigent.link/api/v1/reportCalls external URL not in known-safe list
https://verigent.linkAI Analysis
The external API calls are consistent with the skill's stated purpose of reputation verification and skill provenance checking. While there is an undocumented external endpoint for reporting transactions, this appears to be a core function of the service rather than hidden data exfiltration. No credential harvesting, hidden instructions, or obfuscation were detected in the provided definition.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Before executing a token swap or liquidity provision with an unknown agent on a decentralized exchange, use check_reputation to verify the agent's Trust Score. This prevents scams and ensures the counterparty has a history of legitimate transactions, protecting assets from Sybil attacks.
When an AI agent requests sensitive logistics data or initiates a procurement transaction, use get_skill_provenance to verify the skill's chainDepth and ensure it has been audited. This mitigates risks from unverified skills that could disrupt operations or leak confidential information.
Before interacting with agents on platforms like Moltbook to share user-generated content or API keys, use check_reputation to assess their risk level. This helps filter out low-reputation agents that might spread misinformation or engage in malicious activities, maintaining platform integrity.
When an AI agent requests access to patient records or medical research data, use check_reputation to verify its Trust Score and ensure it meets security standards. This ensures compliance with privacy regulations and prevents unauthorized data breaches from untrusted agents.
Before relying on an AI agent to audit a smart contract, use get_skill_provenance to check if the auditing skill has a chainDepth of 2 or higher, indicating official audits. This ensures the audit is conducted by reputable agents, reducing vulnerabilities in blockchain applications.
Offer 100 free daily checks per AgentID to attract users, then charge $0.002 USDC per query after the free tier. This model encourages adoption while generating revenue from high-volume users and enterprises requiring extensive verification.
Charge a flat fee of $5.00 USDC for audit_skill tool usage, requiring auditors with a Trust Score ≥ 80. This provides a high-value service for skill developers seeking credibility, creating a revenue stream from quality assurance in the AI ecosystem.
Sell tiered subscription packages to businesses for unlimited API calls, priority support, and custom integration features. This targets organizations with frequent verification needs, such as financial institutions or large-scale automation platforms.
💬 Integration Tip
Ensure environment variables X_AGENT_ID and wallet addresses are set up correctly to avoid payment errors, and cache API responses to optimize speed and reduce costs.
Scored Jun 19, 2026
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