How do I fix a 'Delegation target not found' error?

Verify that the agent name referenced in your 'delegates_to' or 'escalates_to' field exists within the .claude/agents/ directory.

Can I use this in my CI/CD pipeline?

Yes, the skill is specifically designed for use in continuous integration to catch configuration errors before they reach production.

What does the Agent Config Validator check?

It verifies YAML syntax, required frontmatter fields like name and level, operational phases, tool names, and cross-agent references.

What are the valid values for the 'phase' field?

The validator accepts the following specific phases: Plan, Test, Implementation, Package, and Cleanup.

Does this support custom tool names?

The validator currently checks for standard tools including Read, Write, Bash, Grep, and Glob to ensure framework compatibility.

Agent Configuration Validator

Name: Agent Configuration Validator
Author: mvillmow

bymvillmow

•

Ciencia de Datos y ML

Validates agent YAML frontmatter and configurations to ensure compatibility with ML Odyssey requirements.

Acerca de

The Agent Configuration Validation skill provides automated verification for agent YAML frontmatter and structural configurations within the Project Odyssey ecosystem. It ensures that all required fields—such as hierarchy levels, operational phases, and tool references—are correctly defined and formatted. This tool is essential for developers maintaining complex agent-based systems, allowing them to catch syntax errors, missing metadata, or invalid delegation references before committing changes or deploying to a CI/CD pipeline.

Características Principales

12 GitHub stars
Validates hierarchical levels (0-5) and operational phase values
Provides actionable error messages for common configuration issues
Checks tool names and delegation/escalation references for accuracy
Ensures correct directory structure for agent configurations
Verifies YAML frontmatter syntax and required metadata fields

Casos de Uso

Standardizing metadata across large-scale multi-agent machine learning frameworks
Automating configuration checks within a CI/CD pipeline before merging agent updates
Debugging agent loading issues by identifying malformed YAML or missing fields

Acerca de

Características Principales

12 GitHub stars
Validates hierarchical levels (0-5) and operational phase values
Provides actionable error messages for common configuration issues
Checks tool names and delegation/escalation references for accuracy
Ensures correct directory structure for agent configurations
Verifies YAML frontmatter syntax and required metadata fields

Casos de Uso

Standardizing metadata across large-scale multi-agent machine learning frameworks
Automating configuration checks within a CI/CD pipeline before merging agent updates
Debugging agent loading issues by identifying malformed YAML or missing fields