When should I use this skill manually?

Manual use is recommended for retrying after a validation failure, debugging specific check results, or pre-checking data before a formal write operation.

What specific criteria can I validate against?

You can define required fields, minimum counts for quotes, key points, outline sections, and the presence of specific arrays like hooks.

Does this skill consume LLM tokens to run validation?

No, it uses a deterministic Bun script to validate data locally, making it cost-effective and fast.

How is validation automated in this skill?

As of v0.6.0, the skill uses a PostToolUse:Write hook to automatically validate artifacts whenever they are written to the sandbox.

What happens when a validation check fails?

The script returns a JSON object listing exactly which checks failed and why, allowing the agent to perform targeted retries with specific feedback.

Workflow Validator

Name: Workflow Validator
Author: memorysaver

bymemorysaver

•

Security & Testing

Ensures AI-generated JSON artifacts meet specific structural and content criteria through deterministic validation scripts.

The Workflow Validator skill provides a reliable framework for verifying that Claude's outputs adhere to predefined quality and structural standards within an agentic workflow. By executing local scripts to check for required fields, minimum list lengths, and specific keys, it ensures data integrity without consuming additional LLM tokens. While validation is typically automated via hooks in the looplia-core framework, this skill enables manual debugging, ad-hoc verification, and detailed error reporting when artifacts fail to meet the necessary workflow criteria.

Key Features

012 GitHub stars

02Customizable criteria including required fields and minimum counts

03Automatic validation integration via PostToolUse:Write hooks

04Deterministic JSON validation without LLM token consumption

05Detailed pass/fail reporting for granular debugging

06Workflow status tracking via validation.json updates

Use Cases

01Debugging failed AI outputs that were rejected by automated system hooks

02Verifying complex JSON structures before passing data to downstream tools

03Enforcing content density requirements such as minimum quote counts or key themes

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add memorysaver/looplia-core workflow-validator

For use in Claude.ai and ChatGPT

Download Skill