card-grass SKILL.md skillA

card-grass from wolffe/three.js-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add wolffe/three.js-skills/card-grass@git:20261031.50d32a4

Pins git:20261031.50d32a4 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
wolffe/three.js-skills
Path
skills/outdoor/card-grass/SKILL.md
Versions recorded
3
Latest version
git:20261031.50d32a4, committed Oct 31, 2026
First version recorded
Oct 28, 2026
Size
15,648 bytes
Repository stars
3
License
MIT

Use when a large terrain needs ground cover (meadow, hill grass, snow tufts) that reads well from a road or a walking camera at a low triangle and fill cost. ATS/ETS2-style card grass on WebGPU with TSL - one fixed-yaw textured quad per clump from a 4x4 cutout atlas, instanced per terrain tile, on a jittered grid gated by a density field; ships `card-grass.tsl.js` and `make-atlas.md`.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Card Grass

Target: Three.js 0.187.0, `three/webgpu` and TSL node materials from `three/tsl`; WebGPU only, no WebGL fallback, no GLSL strings.

The companion file `scripts/card-grass.tsl.js` is the material, the placement and the tile meshes. Copy it into the project; it imports only from `three/webgpu` and `three/tsl`. `references/make-atlas.md` builds the atlas it samples.

## What it is

Ground cover the way the truck simulators do it: each clump is ONE textured quad standing upright at a fixed random yaw (it never turns to the camera), cut from a 4 x 4 atlas of cutout plant photos. Cards sit on a jittered grid (density from the spacing, not a count), thinned by a two-octave noise field so patches are dense and the ground between is thin. The CPU picks each card's atlas cell (by climate, altitude, wetness: the caller's rule) and its height. The shader lights every card as flat ground, alpha-tests it, sways its top, tints it toward the ground colour, turns it into snow-covered tufts in winter, and sinks it underground past a fade band. Cards never cast shadows and receive one shadow sample at the root.

## When to use it
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add wolffe/three.js-skills/card-grass@sha256:2d88b59c739c0e20

The line at the top of this page pins the label git:20261031.50d32a4, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_mzta4cldxv32elzy.svg)](https://markdownregistry.com/a/art_mzta4cldxv32elzy)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Oct 28, 2026 and Oct 31, 2026, about one every day.

versioncommittedcommitsizeaudit
git:20261031.50d32a4 latest2026-10-31 50d32a4 15,648 BA view · diff
git:20261031.845cf452026-10-31 845cf45 15,509 BA view · diff
git:20261028.62f2e2f2026-10-28 62f2e2f 15,509 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (15648 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

wolffe/three.js-skills · 3 stars · license MIT · pushed 2026-11-02 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_mzta4cldxv32elzy
GET https://markdownregistry.com/api/v1/resolve?ref=wolffe/three.js-skills/card-grass
GET https://markdownregistry.com/api/v1/blob/2d88b59c739c0e2026a0eec6d4db0c9c190851275b2ce5465edb3b574a529b3c

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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