dubery-ugc-fidelity-gatekeeper

Validate UGC prompt JSONs for product fidelity and output PASS/REJECT verdicts.

Updated Mar 9, 2026
One-click install
npx skills add https://github.com/RASCLAW/DuberyMNL --skill dubery-ugc-fidelity-gatekeeper
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dubery-ugc-fidelity-gatekeeper
Source: https://github.com/RASCLAW/DuberyMNL/tree/main/.claude/skills-archive-v1/dubery-ugc-fidelity-gatekeeper
Command: npx skills add https://github.com/RASCLAW/DuberyMNL --skill dubery-ugc-fidelity-gatekeeper

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Validate UGC prompts to ensure the generated sunglasses visuals faithfully match the real product, preventing wasted credits on incorrect imagery.

Core Features & Use Cases

  • Verifies UGC prompts for product fidelity before kie.ai generation.
  • Outputs a binary PASS/REJECT verdict with no patching, enabling deterministic gating.
  • Integrates with the UGC pipeline to guard against prompts that could distort brand visuals.

Quick Start

Run the gatekeeper on a UGC prompt JSON file to obtain a PASS/REJECT verdict.

Frequently Asked Questions about dubery-ugc-fidelity-gatekeeper

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

FAQPage Schema
How do I validate UGC prompts for product fidelity before image generation?

To validate UGC prompts for product fidelity, you run a gatekeeper process on the prompt JSON file to return a binary PASS or REJECT verdict. This prevents wasted ad pipeline credits on incorrect or distorted brand visuals.

What is a UGC prompt gatekeeper and how does it work?

A UGC prompt gatekeeper verifies text prompts against product specifications before generation. It outputs a binary PASS/REJECT verdict with no patching, providing deterministic gating and specific reject reasons to guard against brand visual distortion.

How do I run a fidelity check on a UGC prompt JSON file?

To run a fidelity check, provide the file path to your UGC prompt JSON, such as a .tmp/UGC-001_ugc_prompt.json file. The gatekeeper processes this input and returns a verdict JSON structure containing fields for verdict, checks, and reject_reasons.

Does the UGC prompt validation process automatically fix or patch rejected prompts?

No, UGC prompt validation does not automatically fix or patch rejected prompts. The gatekeeper outputs a strict binary PASS/REJECT verdict to ensure deterministic gating, leaving any necessary prompt corrections to the UGC pipeline operator.

When do I need to use a fidelity gatekeeper in my ad pipeline?

You need a fidelity gatekeeper when generating UGC visuals via platforms like kie.ai to ensure generated sunglasses match the real product. It prevents wasted generation credits by catching prompts that would distort brand visuals before processing.

What limitations are there when validating UGC prompts for image generation?

A key limitation is that validating UGC prompts requires a specific file path to a UGC prompt JSON file. Additionally, the gatekeeper only provides a binary verdict and does not patch or repair prompts that fail the fidelity checks.