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 scottstts/Threejs-Awesome-Graphics-Agent-Skills --skill threejs-visual-validationgit clone --depth 1 https://github.com/scottstts/Threejs-Awesome-Graphics-Agent-SkillsWrote 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/scottstts/threejs-awesome-graphics-agent-skills/threejs-visual-validation)<a href="https://agentmods.dev/skills/scottstts/threejs-awesome-graphics-agent-skills/threejs-visual-validation"><img src="https://agentmods.dev/badge/skills/scottstts/threejs-awesome-graphics-agent-skills/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/scottstts/threejs-awesome-graphics-agent-skills/threejs-visual-validation"><img src="https://agentmods.dev/badge/skills/scottstts/threejs-awesome-graphics-agent-skills/threejs-visual-validation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00058 | $0.00376 |
| Opus 5 | $0.00029 | $0.00188 |
| Sonnet 5 | $0.00012 | $0.00075 |
| Haiku 4.5 | $0.00006 | $0.00038 |
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 9d 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.
What it actually says
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
- Freeze deterministic inputs.
- Capture the no-post baseline.
- Capture system-specific diagnostic views.
- Test the intended camera-distance envelope.
- Sweep representative seeds and parameter extremes.
- Test motion and temporal stability.
- Record image, geometry, memory, and timing budgets.
- Keep a small regression set tied to visual invariants.
Read 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.
What ships with it
2 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.
- 9d ago First seen · 49 lines · 58 tokens per session scan A e5532e7fcc0b
threejs-visual-validation is a skill published in the GitHub repository scottstts/Threejs-Awesome-Graphics-Agent-Skills (793 stars, last pushed 12d ago), licensed MIT. It adds 58 tokens to every session and 376 once invoked, about $0.0003 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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