Does this skill require external dependencies?

Yes, this skill requires 'jq' to be installed on the system to handle efficient and safe JSON processing.

Can I use this for custom test frameworks?

Yes, the schema supports optional fields like 'framework' and 'command', making it compatible with Jest, Mocha, Pytest, and other testing tools.

What is the primary security benefit of this skill?

It prevents JSON injection attacks (CVSS 8.2) by strictly validating the AGENT_SUCCESS_CRITERIA environment variable using defensive parsing before any execution occurs.

How does this help with agent maintainability?

It centralizes validation logic that was previously duplicated across 21 different agents, allowing you to fix issues or update schemas in one place.

What happens if the JSON is malformed?

The skill provides a safe exit with a truncated error message, preventing the agent from crashing or leaking internal structural information to potential attackers.

Agent JSON Validation & Security

Name: Agent JSON Validation & Security
Author: masharratt

bymasharratt

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Seguridad y Pruebas

Secures and validates agent success criteria through centralized JSON parsing and defensive injection prevention.

Acerca de

This skill provides a robust framework for managing test-driven success criteria within the Claude Flow Novice (CFN) ecosystem. By centralizing JSON validation, it ensures that all 21 agents follow strict security protocols to prevent command injection (CVSS 8.2) while providing convenient helper functions for extracting test commands, thresholds, and suite names. It significantly improves agent reliability and maintainability by replacing duplicated validation logic with a single, production-ready source of truth.

Características Principales

Lightweight performance with negligible execution overhead (<5ms)
12 GitHub stars
Centralized validation logic to eliminate code duplication across agents
Safe error handling with truncated messages to prevent information disclosure
Automated extraction of test commands and pass rate thresholds
Defensive JSON parsing to prevent injection attacks (CVSS 8.2)

Casos de Uso

Implementing secure, test-driven development workflows for AI agents
Protecting agent environments from malicious environment variable injection
Standardizing success criteria parsing across large-scale agent swarms

Acerca de

Características Principales

Lightweight performance with negligible execution overhead (<5ms)
12 GitHub stars
Centralized validation logic to eliminate code duplication across agents
Safe error handling with truncated messages to prevent information disclosure
Automated extraction of test commands and pass rate thresholds
Defensive JSON parsing to prevent injection attacks (CVSS 8.2)

Casos de Uso

Implementing secure, test-driven development workflows for AI agents
Protecting agent environments from malicious environment variable injection
Standardizing success criteria parsing across large-scale agent swarms