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.
npx skills add linegel/threejs-complete-set-of-skill --skill threejs-visual-validationgit clone --depth 1 https://github.com/linegel/threejs-complete-set-of-skillWrote 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.
[](https://agentmods.dev/skills/linegel/threejs-complete-set-of-skill/threejs-visual-validation)<a href="https://agentmods.dev/skills/linegel/threejs-complete-set-of-skill/threejs-visual-validation"><img src="https://agentmods.dev/badge/skills/linegel/threejs-complete-set-of-skill/threejs-visual-validation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/linegel/threejs-complete-set-of-skill/threejs-visual-validation"><img src="https://agentmods.dev/badge/skills/linegel/threejs-complete-set-of-skill/threejs-visual-validation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.01243 |
| Opus 5.5 | $0.00017 | $0.00497 |
| Sonnet 5.5 | $0.00009 | $0.00249 |
| Haiku 4.5 | $0.00004 | $0.00124 |
Grade A, and why
threejs-visual-validation 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visual Validation
Validate claims, not polished frames. Keep each verdict scoped to one declared claim so evidence for appearance cannot substitute for mechanism, timing, or lifecycle proof. The owning subject skill defines mechanism truth and failure signatures; this skill defines how to falsify them.
1. Predeclare every claim
For each claim, record:
- class: visual, mechanism, temporal, performance, GPU attribution, resource, or lifecycle;
- invariant and truth source;
- observable and the diagnostic that isolates it;
- native-domain metric, units, alignment, mask, and aggregation;
- acceptance gate fixed before candidate inspection;
- blocking failure and required evidence.
Label every claim-driving number Authored, Derived, Measured, or Gated
and record its unit and source. Keep unknown values unknown.
This step is complete when every claim has a direct falsifier and no claim is supported only by the final image.
2. Freeze the run
For a purely CPU-side numerical, byte-layout, or metadata claim, freeze its actual execution environment without inventing a renderer dependency. Such results do not prove a GPU shader, rendered image, or target-performance claim. The initialized-backend gate below applies to renderer-dependent claims.
Freeze the exact Three.js revision, renderer and initialized backend, target, browser/GPU, camera matrices, seed, time or deterministic step, viewport, DPR, quality state, assets, and color/output graph. Construct the renderer with timestamp tracking before initialization whenever a declared claim needs GPU timing:
const renderer = new WebGPURenderer( {
trackTimestamp: gpuTimingRequirement === 'required'
} );
await renderer.init();
if ( renderer.backend.isWebGPUBackend !== true ) {
throw new Error( 'Canonical WebGPU validation is unavailable on this target.' );
}
Record the blocker when canonical WebGPU is unavailable. Reach
$threejs-compatibility-fallbacks only when the user explicitly asks for that
branch.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago Changed · +5 lines 2120a1d667a8
- 2mo ago First seen · 137 lines · 43 tokens per session scan A 79e7519853f9
threejs-visual-validation is a skill published in the GitHub repository linegel/threejs-complete-set-of-skill (11 stars, last pushed 1mo ago), licensed ISC. It adds 43 tokens to every session and 1,243 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
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