agent-protocol

Enforce a standardized json:contract block with evidence and verification structures in agent responses.

3|1|Updated Nov 10, 2025
One-click install
npx skills add https://github.com/metraton/gaia --skill agent-protocol-metraton
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-protocol
Source: https://github.com/metraton/gaia/tree/main/skills/agent-protocol
Command: npx skills add https://github.com/metraton/gaia --skill agent-protocol-metraton

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ensures all agent responses follow a consistent, machine-checkable contract, enabling reliable automation, auditing, and governance.

Core Features & Use Cases

  • Enforces a single json:contract end block for every agent response.
  • Provides structured sections like evidence_report, consolidation_report, and verification to support traceability and compliance.
  • Use Case: In multi-agent workflows, standardize communications so downstream systems can parse and verify results automatically.

Quick Start

Produce an agent reply that ends with a single json:contract block, including the required fields and example values as guidance.

Frequently Asked Questions about agent-protocol

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I standardize AI agent responses for automated parsing?

Standardize AI agent responses by enforcing a machine-checkable contract that guarantees every reply ends with a structured json:contract block. This enables downstream systems to automatically parse, audit, and verify results without manual inspection.

What is a machine-checkable response contract for AI agents?

A machine-checkable response contract is a strict protocol ensuring every agent reply includes a final json:contract block with required fields. It provides structured evidence and verification sections to support traceability and compliance in automated workflows.

How do I enforce traceability and verification in multi-agent workflows?

Enforce traceability in multi-agent workflows by applying a standardized response protocol that requires structured evidence_report, consolidation_report, and verification sections within the final json:contract block for every agent communication.

Can I use a standardized agent protocol for governance and compliance auditing?

Yes, you can use a standardized agent protocol for governance and compliance auditing. It enforces consistent response structures with evidence and verification data, allowing automated systems to reliably audit agent actions and verify operational results.

How to generate a json:contract block for agent governance?

Generate a json:contract block by producing an agent reply that ends with the required protocol fields and example values. This defines a clear entry point and detailed body with protocol rules to satisfy frontmatter validation and operational guidance.

Why do my downstream systems fail to parse multi-agent communications?

Downstream parsing fails when agent communications lack a consistent, machine-checkable contract. Enforcing a single json:contract end block standardizes communications, ensuring downstream systems can automatically parse and verify results reliably.