skills-a2aVerify AI agents, check trust scores (0-100), fetch A2A agent cards, discover marketplace agents, apply guardrails for security and compliance. Use when user mentions agent verification, trust scores, agent discovery, A2A protocol, agent identity, agent marketplace, guardrails, security policies, content moderation, or asks "is this agent safe?" or "find agents that can [task]" or "apply guardrails to protect my agent".
Install via ClawdBot CLI:
clawdbot install msoica/skills-a2aGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://praesidia.aiAudited Apr 18, 2026 · audit v1.0
Generated Mar 21, 2026
A bank deploys an AI chatbot for customer inquiries and needs to ensure it doesn't provide unregulated financial advice or leak sensitive data like account numbers. Using Praesidia, they verify the agent's trust score and apply guardrails for PII detection and financial advice warnings to maintain compliance with regulations like GDPR and financial industry standards.
A healthcare provider uses an AI agent to assist patients with appointment scheduling and basic health information. They utilize Praesidia to verify the agent's identity and apply guardrails for HIPAA compliance, medical advice detection, and PII redaction, ensuring patient data security and preventing unauthorized medical guidance.
An online retailer integrates an AI agent for customer service to handle inquiries and complaints. They use Praesidia to check the agent's trust score and apply content moderation guardrails like toxic language filters and brand voice consistency, protecting brand reputation and ensuring positive customer interactions.
An edtech platform employs AI tutoring agents to help students with homework. They leverage Praesidia to verify agent safety and apply guardrails for fact-checking, hallucination detection, and off-topic content filtering, ensuring accurate and appropriate educational support for students.
A legal firm uses an AI agent to draft documents and research cases. They rely on Praesidia to verify the agent's trustworthiness and apply guardrails for legal advice warnings, source validation, and consistency checks, mitigating risks of misinformation and maintaining professional standards.
Offer Praesidia as a cloud-based service with tiered pricing based on usage, such as number of agent verifications, guardrail applications, or API calls. This model provides recurring revenue and scales with customer adoption, targeting businesses of all sizes needing ongoing AI security.
Sell customized enterprise licenses to large organizations requiring advanced features like dedicated support, custom guardrail templates, and integration with existing security systems. This model focuses on high-value contracts and long-term partnerships in regulated industries.
Operate an agent marketplace where users can discover and deploy verified AI agents, charging a commission on transactions or usage fees. This model leverages Praesidia's verification and discovery capabilities to create a trusted ecosystem, generating revenue from agent deployments and integrations.
💬 Integration Tip
Start by setting up the API key in your configuration file and test with a simple agent verification to ensure connectivity before implementing more complex guardrails.
Scored May 16, 2026
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