validate

Run a Generator/Evaluator pattern to validate AEP artifacts and report fixes.

14|Updated Mar 23, 2026
One-click install
npx skills add https://github.com/memorysaver/agentic-engineering-patterns --skill validate-memorysaver
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: validate
Source: https://github.com/memorysaver/agentic-engineering-patterns/tree/main/skills/product-context/validate
Command: npx skills add https://github.com/memorysaver/agentic-engineering-patterns --skill validate-memorysaver

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill validates AEP artifacts by orchestrating a parallel Gen/Eval workflow that identifies design gaps, implementation issues, and documentation inconsistencies, helping teams converge on correct artifacts before dispatch.

Core Features & Use Cases

  • Spawns a Generator (dry-run), an Evaluator (consistency check), and optionally a Protocol Checker (downstream compatibility) to validate artifacts like product-context.yaml, design specs, and OpenSpec changes.
  • Supports multiple workflow modes (Product Context Validation, Design Validation, Code Validation, Document Validation) to cover end-to-end artifact quality.
  • Produces a consolidated findings report and appends a changelog entry with fixes, ensuring traceability and rollback.

Quick Start

Run the validate skill on the current artifact to auto-detect mode and emit a validation report with suggested fixes.

Frequently Asked Questions about validate

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

FAQPage Schema
How do I validate AEP artifacts before dispatch?

Validate AEP artifacts by running a parallel Generator/Evaluator pattern that identifies design gaps and implementation issues, returning a consolidated validation report with required fixes and severity levels to ensure artifact correctness before dispatch.

What is the best way to check design specs and code for inconsistencies?

Checking design specs and code for inconsistencies is handled by spawning an Evaluator and Protocol Checker to detect documentation gaps and downstream compatibility issues, producing a consolidated findings report appended to the artifact's changelog.

Can I use this validation process on product-context.yaml files?

You can validate product-context.yaml files using Product Context Validation mode, which automatically detects the artifact type and runs consistency checks to outline required fixes with severity tracking.

How does parallel agent validation work for artifact quality?

Parallel agent validation works by spawning a Generator for dry-run testing and an Evaluator for consistency checking simultaneously, optionally adding a Protocol Checker for downstream compatibility to produce a consolidated findings report.

When do I need to run artifact validation in my workflow?

Artifact validation is needed after running envision, design, or build phases, or whenever you need to validate product-context, design specs, code, or documents to converge on correct artifacts before dispatch.

Does the validation report support traceability and rollback?

The validation report supports traceability and rollback by appending a changelog entry with outlined fixes and severity levels directly to the artifact, ensuring all validation findings remain documented and reversible.