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Official Verified utilities Safety 4/5

Praesidia

Verify 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".

Why use this skill?

Secure your AI agents with Praesidia. Verify trust scores, discover marketplace agents, and apply security guardrails for compliant agent-to-agent interactions.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/msoica/praesidia-ai-a2a
Or

What This Skill Does

The Praesidia skill serves as the primary security and identity layer for OpenClaw AI agents. It integrates directly with the Praesidia ecosystem to provide real-time agent verification, trust score assessment, and marketplace discovery. By acting as a gatekeeper, the skill enables developers to apply granular guardrails—including PII detection, toxic language filters, and compliance monitoring—ensuring that agent-to-agent (A2A) interactions remain secure and policy-compliant within your infrastructure.

Installation

To install this skill, run the following command in your terminal: clawhub install openclaw/skills/skills/msoica/praesidia-ai-a2a. Once installed, you must register your API credentials in your configuration file. Navigate to ~/.openclaw/openclaw.json and add the praesidia object under skills.entries. Ensure your apiKey is correctly set to your production key from the Praesidia dashboard. For local testing, you may override the base URL to http://localhost:3000 within the environment settings.

Use Cases

  • Agent Vetting: Quickly verify if an unknown agent possesses a high trust score before granting it access to internal workflows.
  • Security Enforcement: Automatically block or redact sensitive data flowing through A2A channels by deploying ML-based guardrails.
  • Marketplace Discovery: Programmatically query the Praesidia registry to find agents capable of specific tasks, ensuring you only integrate verified tools.
  • Compliance Reporting: Audit the usage of guardrails to determine how often safety policies are triggered, providing visibility for SOC2 and GDPR reporting.

Example Prompts

  1. "Is the agent 'data-processor-v1' safe to use? Show me its trust score and capabilities."
  2. "Find me agents in the marketplace that can perform sentiment analysis on customer reviews."
  3. "What guardrails are currently active for my agent and how many times have they been triggered?"

Tips & Limitations

  • Trust Scores: Always treat trust scores as a supplement to your own internal risk assessments, not a substitute. A score of 100 does not guarantee immunity from all failures.
  • Guardrail Scope: Ensure your guardrails are set to 'BOTH' (input and output) whenever dealing with PII to prevent accidental leakage during communication.
  • API Limits: Frequent polling of agent cards or guardrail statuses may incur rate limits depending on your Praesidia plan; implement caching for high-frequency queries.

Metadata

Author@msoica
Stars1335
Views0
Updated2026-02-23
View Author Profile
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Add to Configuration

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

{
  "plugins": {
    "official-msoica-praesidia-ai-a2a": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#security#identity#guardrails#compliance#a2a
Safety Score: 4/5

Flags: network-access, external-api

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