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-choose-skillsgit 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-choose-skills)<a href="https://agentmods.dev/skills/linegel/threejs-complete-set-of-skill/threejs-choose-skills"><img src="https://agentmods.dev/badge/skills/linegel/threejs-complete-set-of-skill/threejs-choose-skills/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-choose-skills"><img src="https://agentmods.dev/badge/skills/linegel/threejs-complete-set-of-skill/threejs-choose-skills.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 | $0.00046 | $0.02553 |
| Opus 5 | $0.00023 | $0.01277 |
| Sonnet 5 | $0.00009 | $0.00511 |
| Haiku 4.5 | $0.00005 | $0.00255 |
Grade A, and why
threejs-choose-skills 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 12d 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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Route Three.js WebGPU/TSL Work
Route for Three.js r185 with WebGPURenderer from three/webgpu, TSL from
three/tsl, and node materials. The installed package and initialized renderer
are the source of truth for APIs, backend, attachment limits, and timing
support.
Route in four steps
1. Fix the contract
Record the installed revision and initialized backend. Then state:
- the primary observable and whether its contract is metric, identity, physically plausible, or perceptual;
- the authoritative input, units, coordinate frame, scale, topology, time behavior, target views, and interaction;
- each applicable deployment target and checkable bound for error, latency, frame time, and peak live memory;
- the reproducible seed, input trace, or camera path required by any comparison or replay.
Treat missing authoritative inputs as explicit gaps. Canonical claims require an initialized WebGPU backend. Route compatibility teaching only when the user explicitly asks how to apply a fallback.
When the route claims frame time, latency, peak live memory, adaptive quality, or sustained performance, read composed-route-performance.md before freezing those bounds.
Complete when: the requested result, source of truth, and every applicable target and acceptance bound are explicit and mutually consistent.
2. Select causal owners
Find the earliest missing cause: data/topology, geometry, field, material, illumination, transport volume, motion, camera/projection, or image transform. When more than one viable mechanism remains, compare the least-complex candidates and name the evidence that rejects each losing candidate. Assign one primary owner to the earliest missing cause, then add only skills that own a requested cause, required input, or verification method.
When LOD, tessellation, impostors, field bands, or simulation extent depend on screen error, read projected-error-contract.md before choosing the representation.
What ships with it
6 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.
- 12d ago First seen · 180 lines · 46 tokens per session scan A 4d5e01a16f8b
threejs-choose-skills is a skill published in the GitHub repository linegel/threejs-complete-set-of-skill (6 stars, last pushed 1mo ago), licensed ISC. It adds 46 tokens to every session and 2,553 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 2026-08-31.
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