scottstts/threejs-awesome-graphics-agent-skills

threejs-visual-validation

Validate advanced Three.js graphics as authored systems rather than subjective screenshots. Use for fixed-view visual contracts, field and pass diagnostics,…

First seen Jun 22, 2026

Installation

$ npx skills add https://github.com/scottstts/threejs-awesome-graphics-agent-skills
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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 793
License LICENSE
Default branch main
Open issues 0
Status Active

History

  1. First seen on skills.sh
  2. First recorded snapshot · 45 installs

SKILL.md

Visual Validation

Evaluate the mechanism that creates the image. A beautiful hero screenshot can hide unstable fields, broken depth, seed failures, or post-processing dependence.

Validation sequence

  1. Freeze deterministic inputs.
  2. Capture the no-post baseline.
  3. Capture system-specific diagnostic views.
  4. Test the intended camera-distance envelope.
  5. Sweep representative seeds and parameter extremes.
  6. Test motion and temporal stability.
  7. Record image, geometry, memory, and timing budgets.
  8. Keep a small regression set tied to visual invariants.

Read [references/graphics-validation-protocol.md](references/graphics-validation-protocol.md) for visual contracts, required inspection controls, mechanism-specific evidence, temporal checks, budgets, and explicit rejection criteria.

Required evidence

  • fixed camera and seed manifest;
  • final and no-post captures;
  • field/pass diagnostic mosaic;
  • near, design, and far camera views;
  • at least one stress seed;
  • frame-time and render-target inventory;
  • written invariants and known compromises.

Failure conditions

  • approval relies on a single frame;
  • post-processing cannot be disabled per pass;
  • random seeds are not reproducible;
  • GPU time is inferred only from CPU frame time;
  • temporal artifacts are judged from still images;
  • comparison thresholds ignore intentional stochastic pixels without stabilizing them.

Routing boundary

This skill evaluates an implementation; it does not supply the implementation mechanism. Load the subject or image-effect skill first, then use this protocol to decide whether the result is acceptable.