nvidia-omniverse/usd-content-agents/content-texture-quality

Claude Code and agent skill by nvidia-omniverse/usd-content-agents

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Collect matched Texture evidence, optionally request advisory critique, and record the outer multimodal review. Use after explicit candidate generation.

Install

npx vskill@latest install nvidia-omniverse/usd-content-agents/content-texture-quality

SKILL.md

Texture Quality Review

Collect fresh paired source/candidate evidence for the exact target set, then let the outer multimodal reasoner decide accept, reject, or revise. Domain VLM critique is an independently selected advisory leaf.

When to Use

Use after every initial or refined candidate application.

Limitations

  • Semantic claims require actual rendered evidence.
  • Validation cannot alter the output asset.
  • Validator/VQA findings cannot directly partition canonical accepted and

remaining IDs.

  • Every disposition must be authored in an outer review artifact bound to the

exact candidate result and fresh evidence.

Prerequisites

The frozen operation selection must request evidence and review, and the generation packet must bind the output asset. critique may be requested or explicitly not_requested.

Instructions

  1. Render every matching selected and canonical view through the shared OVRTX

USD path, preserving the exact source USD digest and OVRTX render metadata with each evidence record.

  1. Verify unchanged geometry, bindings outside scope, source dependency

identity, candidate closure, target UV/material state, and reference bytes.

  1. Stop after texture evidence. It must report semantic assessment as

not_evaluated, not pass.

  1. Only when selected, run texture critique with explicit VLM backend and

model. Treat findings as advisory evidence, never the semantic decision.

  1. Have the outer model directly inspect every exact reference, then every

outer-provided image, then every matched source/candidate image, in that exact order. Author one accept, reject, or revise for every exact unit, binding the candidate result/output digest and evidence digest.

  1. Record that decision with texture review. Fail closed on visual rejection,

stale evidence, missing units, or candidate substitution. Only explicit outer revise units may be regenerated.

  1. Stop when all units have outer acceptance or the bounded budget is exhausted.

Command Reference

Run content-workflow-cli texture evidence first. If selected, run content-workflow-cli texture critique with explicit provider configuration. Finally author texture-outer-review-input.v1 and run content-workflow-cli texture review.

Common Workflows

If one unit fails, load content-texture-scope and content-texture-candidate for only that unit; do not replay successful work.

Output Format

Retain texture_candidate_evidence.json, optional texture_critique.json, and texture_outer_review.json with paired renders, references, renderer metadata, static findings, provider provenance, candidate identity, and outer dispositions.

Troubleshooting

Reject validation output that omits requested IDs, adds IDs, changes order, references a different asset, or reports a stale iteration.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
205
Repository forks
25
7-day trend score
27

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