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dubery-prompt-validator

Validate structured prompt JSON for product fidelity before image generation.

Updated Mar 9, 2026
Search Tags:#prompts#image-generation#validate#quality-control#gatekeeper#kie-ai#duberymnl
One-click install
npx skills add https://github.com/RASCLAW/DuberyMNL --skill dubery-prompt-validator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dubery-prompt-validator
Source: https://github.com/RASCLAW/DuberyMNL/tree/main/.claude/skills-archive-v1/dubery-prompt-validator
Command: npx skills add https://github.com/RASCLAW/DuberyMNL --skill dubery-prompt-validator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Validates structured prompt JSON to ensure product fidelity before image generation, preventing invalid or unsafe prompts from being sent to the generation pipeline.

Core Features & Use Cases

  • Verifies required fields and data consistency in prompt_structured JSON
  • Outputs a strict raw JSON verdict suitable for gatekeeping workflows
  • Supports patch or regenerate guidance when prompts need refinement before kie.ai

Quick Start

Provide the path to the prompt_structured JSON file and run the validator to receive a raw JSON verdict.

Frequently Asked Questions about dubery-prompt-validator

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

FAQPage Schema
How do I validate structured prompt JSON before image generation?▼

You can validate prompts by providing the path to your prompt_structured JSON file to receive a strict raw JSON verdict. This gatekeeping process prevents invalid or unsafe prompts from entering the image generation pipeline.

What is prompt gatekeeping for product fidelity in image generation?▼

Prompt gatekeeping is a pre-generation quality check that verifies required fields and data consistency in structured prompt JSON. It ensures only safe, valid prompts are sent to the image generation pipeline.

Does the prompt validator work offline without external data exfiltration?▼

Yes, the prompt validator operates completely offline with no external data exfiltration. It processes your structured prompt JSON locally to enforce quality control and produce a strict JSON verdict.

How do I get patch or regenerate guidance for invalid image generation prompts?▼

You get patch or regenerate guidance by running the validator on your prompt_structured JSON. If the prompt needs refinement, the validator outputs specific guidance to correct issues before sending to kie.ai.

Can I use this validator for kie.ai pre-validation in the DuberyMNL pipeline?▼

Yes, you can use this validator for kie.ai pre-validation within the DuberyMNL prompt pipeline. It applies quality checks and gatekeeping to ensure prompt fidelity before the image generation stage.

What format does the prompt validation verdict use?▼

The prompt validation verdict uses a strict raw JSON contract. This format is designed for automated gatekeeping workflows, providing a clear pass or fail state along with refinement guidance.

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