verify-pixels

verify-pixels is a skill for Claude Code, Codex from playcanvas/create-playcanvas. It costs 46 tokens per session (711 once invoked), scanned A, original, MIT.

A testing guide for PlayCanvas graphics changes that should leave every rendered pixel unchanged. It uses repeatable frames and direct pixel comparisons instead of visual inspection.

In plain words
What is it for?
It helps verify draw-call optimizations, hardware instancing, shader or material refactors, and asset-pipeline changes across different poses and animation phases.
Why use it?
It removes uncertainty caused by animation, timing, screenshots, and changing render conditions. You can check that an optimization or refactor produces exactly the same image.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/playcanvas/create-playcanvas/verify-pixels
Any agent
npx skills add playcanvas/create-playcanvas --skill verify-pixels
Clone the repo
git clone --depth 1 https://github.com/playcanvas/create-playcanvas

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for verify-pixels

README.md
[![agentmods](https://agentmods.dev/badge/skills/playcanvas/create-playcanvas/verify-pixels.svg)](https://agentmods.dev/skills/playcanvas/create-playcanvas/verify-pixels)
Your own site
<a href="https://agentmods.dev/skills/playcanvas/create-playcanvas/verify-pixels"><img src="https://agentmods.dev/badge/skills/playcanvas/create-playcanvas/verify-pixels.svg" alt="Measured on agentmods" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 711 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00046 $0.00711
Opus 5 $0.00023 $0.00356
Sonnet 5 $0.00009 $0.00142
Haiku 4.5 $0.00005 $0.00071

Measured 5d ago against content hash b59c7450d676, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

verify-pixels scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/verify-pixels/SKILL.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Prove pixels unchanged

A rendering change that must not alter the image is not proven by eyeballing a screenshot at one pose. Build a deterministic capture, compare byte-exact counts across a pose × phase matrix, and prove the capture harness itself is trustworthy before trusting what it reports about the change.

Make the frame deterministic

  • Drive every animated shader or vertex effect from one app-owned time value, never Date.now() or performance.now() read inside the render path, so a captured phase is exactly reproducible.
  • Freeze the clock with app.timeScale = 0 before capturing; nothing should advance between frames you did not explicitly step.
  • Step frames explicitly: set app.autoRender = false once, then set app.renderNextFrame = true before each frame you want rendered. The engine renders exactly that frame and clears the flag — do not rely on the free-running render loop plus a timed screenshot.
  • Read the rendered pixels with await device.readPixelsAsync(x, y, w, h, pixels) against the exact backbuffer, not a re-encoded screenshot (e.g. canvas.toDataURL) that can introduce compression or colour-management differences the eye won't catch. In the installed engine this method lives on WebglGraphicsDevice, not the base GraphicsDevice type, so narrow to it (or branch on device.isWebGL2) before calling; a WebGPU project needs its own equivalent readback. If the project already has a screenshot path, hold it to the same rule: fixed size, fixed pose, no lossy step before the byte comparison.

Build a pose × phase matrix

Single-pose, single-frame proof cannot see everything a rendering refactor can break. Choose at least two representative camera poses — angles that would expose a dropped instance, a wrong batch bound, or a seam differently — and at least two animation phases, including one mid-animation, not only frame zero. Capture every pose × phase pair for the build before the change and the build after it, with the same canvas size, camera, and lighting each time.

Read the full file on GitHub · 51 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 51 lines · 46 tokens per session scan A b59c7450d676

Subscribe to this mod's changes

verify-pixels is a skill published in the GitHub repository playcanvas/create-playcanvas (53 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 711 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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