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-procedural-fieldsgit 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-procedural-fields)<a href="https://agentmods.dev/skills/linegel/threejs-complete-set-of-skill/threejs-procedural-fields"><img src="https://agentmods.dev/badge/skills/linegel/threejs-complete-set-of-skill/threejs-procedural-fields/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-procedural-fields"><img src="https://agentmods.dev/badge/skills/linegel/threejs-complete-set-of-skill/threejs-procedural-fields.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 | $0.00070 | $0.01824 |
| Opus 5.5 | $0.00028 | $0.00730 |
| Sonnet 5.5 | $0.00014 | $0.00365 |
| Haiku 4.5 | $0.00007 | $0.00182 |
Grade A, and why
threejs-procedural-fields 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Procedural Fields
Author one deterministic field bundle, then adapt it to each shader stage and consumer. Coordinates, seed, causes, derivatives, and output meanings belong to the field; fragment footprints, vertex LOD, storage, and diagnostics are consumer adapters.
For multi-system work, $threejs-choose-skills is an optional coordinator.
Materials own PBR response, geometry owns topology, water owns free-surface
state, and the final-image skill owns tone mapping and output conversion.
Publish each cross-system field output with units, coordinate/frame convention,
producer and consumer owners, revision, spatial/temporal support and filter,
validity domain, error bound, update cadence, and staleness rule. Keep GPU
resource layout and render LOD private to the consuming adapter.
1. Freeze the field contract
Record before implementation:
coordinate domain and units
seed owner, hash/noise family, and wrapping convention
primary fields -> derived causes -> named outputs
consumer, filter, precision, update cadence, and validity per output
direct-versus-bake decision inputs
debug view and invalidation key per output
Choose coordinates from the cause: world/tile-local for terrain and weather, undeformed radial physical coordinates for planets, object/local coordinates for ornament, or a declared generated-texture domain. Large domains use an integer tile plus local float (or another split representation) before f32 phase error changes the field.
This step is complete when every output has one coordinate/seed owner, units, consumer, filter, precision, update rule, invalid state, and diagnostic.
2. Author one stage-portable core
Implement the shared causes as a deterministic TSL Fn. Keep the core free of
fragment-only derivatives, vertex camera policy, storage layout, and dispatch
state. Materialize common intermediates once with .toVar() or an equivalent
local; inspect generated WGSL when separate outputs might rebuild the same
warp, hash, or octave chain.
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 · +3 lines cbc1590903d4
- 2mo ago First seen · 169 lines · 70 tokens per session scan A 884f8411befa
threejs-procedural-fields is a skill published in the GitHub repository linegel/threejs-complete-set-of-skill (11 stars, last pushed 1mo ago), licensed ISC. It adds 70 tokens to every session and 1,824 once invoked, about $0.0003 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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