validation-operations

name	validation-operations
description	Validation of workspace schemas, JSON syntax verification, dependency audits, workflow structure checks, and catalog consistency.
type	skill
version	1.0.0
category	routing
agents	["workflow-quality-specialist","master-system-orchestrator"]
knowledge	["validation-patterns.json"]
scripts	["scripts/validation/audit_workflows.py","scripts/validation/dependency_validator.py","scripts/validation/evaluate.py","scripts/validation/find_bad_skills.py","scripts/validation/fix_all_schemas.py","scripts/validation/schema_validator.py","scripts/validation/validate_json_syntax.py","scripts/validation/verify_catalog_consistency.py","scripts/validation/verify_workflow_assets.py","scripts/validation/verify_workflow_org.py","scripts/verification/demo_memory_utility.py"]
tools	[]
related_skills	["verifying-artifact-structures"]
references	[]
settings	{"auto_approve":false,"timeout_seconds":300}

Workspace Validation & Schema Verification

This skill manages structural validation operations: verifying JSON/YAML syntax, checking workspace dependency graphs, auditing catalog consistency, and enforcing workflow directory formats.

When to Use

Use this skill when performing schema compliance checks, finding malformed skill/workflow structures, validating package dependencies, or checking JSON formatting issues.

Prerequisites

• Conda environment setup.

Process

Follow these procedures to validate workspace configuration files and schemas.

Checking JSON Syntax

Scan the workspace for syntax errors:

conda run -p D:\Anaconda\envs\cursor-factory python scripts/validation/validate_json_syntax.py

Auditing Workflow Structures

Verify that all workspace workflow files match the official workflow schemas:

conda run -p D:\Anaconda\envs\cursor-factory python scripts/validation/verify_workflow_org.py

Best Practices

• Strict Linting: Treat schema check warnings as blocker errors.
• Auto-Fixing: Use fix_all_schemas.py only after checking file diffs.