find-3d-assets

find-3d-assets is a skill for Claude Code, Codex from cdbattags/ai. It costs 66 tokens per session (5,036 once invoked), scanned C, original, MIT.

A guide for finding and adding low-detail 3D models to web projects. These models are commonly supplied as GLB or GLTF files and can be used in tools such as Three.js.

In plain words
What is it for?
Find models for objects, furniture, games, or web scenes; search sources such as Sketchfab and Poly Pizza; download them; and add them to a project.
Why use it?
It gives a repeatable way to look for suitable downloadable models and checks the project for existing models before searching elsewhere.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Find models for objects, furniture, games, or web scenes; search sources such as Sketchfab and Poly Pizza; download them; and add them to a project.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cdbattags/ai/find-3d-assets
View source ↗ cdbattags/ai
Install

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.

Any agent
npx skills add cdbattags/ai --skill find-3d-assets
Clone the repo
git clone --depth 1 https://github.com/cdbattags/ai

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for find-3d-assets

README.md
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Your own site
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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.

agentmods 80×15 button for find-3d-assets

Your own site · 80×15
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Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,036 The whole file, excluding the scripts and references it only reads on demand.
Security scan C 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.05036
Opus 5 $0.00033 $0.02518
Sonnet 5 $0.00013 $0.01007
Haiku 4.5 $0.00007 $0.00504

Measured 8d ago against content hash acca9d23823d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade C, and why

find-3d-assets scanned grade C with 2 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 8d 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

rm -rf /tmp/model.zip /tmp/model_tmp/

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s "https://api.sketchfab.com/v3/search?type=models&q=standing+desk&downloadable=true&sort_by=-likeCount&count=5" \
src/skills/find-3d-assets/SKILL.md · 433 lines

How it starts

The opening of the file, as written. The whole thing — 433 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Finding 3D Assets for Web Projects

Search Strategy

When looking for a specific 3D model, follow this priority order:

1. Check Local Models First

Look in modules/web-app/public/models/ — the model (or something close) might already exist. See the Current Project Models table at the bottom.

2. Search Sketchfab (Largest Library, API Download)

Sketchfab is the primary source for high-quality downloadable 3D models. It has API-based download which makes it the most automatable option when the user has a SKETCHFAB_API_TOKEN.

Finding models — web search:

site:sketchfab.com [object name] low poly downloadable free
sketchfab [object name] CC0 OR CC-BY download

Finding models — direct Sketchfab search URL:

https://sketchfab.com/search?q=[keyword]&downloadable=true&sort_by=-likeCount

Finding models — Sketchfab Search API:

# Search without auth (public models)
curl -s "https://api.sketchfab.com/v3/search?type=models&q=standing+desk&downloadable=true&sort_by=-likeCount&count=5" \
  | python3 -c "
import sys, json
data = json.load(sys.stdin)
for r in data.get('results', []):
    print(f\"{r['name']} by {r['user']['displayName']} — {r['faceCount']} tris — {r['license']['label']}\"
          f\"  https://sketchfab.com/3d-models/{r['slug']}-{r['uid']}\")
"

Filters to use when searching:

  • downloadable=true — only models with download enabled
  • sort_by=-likeCount — most popular first (usually highest quality)
  • license=by for CC-BY, license=cc0 for CC0
  • max_face_count=20000 — keep it web-friendly
Sketchfab Download Workflow (Automated)

Requires: SKETCHFAB_API_TOKEN environment variable (stored in .env, loaded by direnv). Get one at: https://sketchfab.com/settings/password → "API Token" section.

MODEL_ID="65a7f4b06a5f4954a0d43eb8812dd165"   # hex ID from the model URL
OUTPUT="standingDesk.glb"                       # target filename

# Step 1 — Get signed download URLs (expires in 5 min)
DOWNLOAD_JSON=$(curl -s \
  -H "Authorization: Token $SKETCHFAB_API_TOKEN" \
  "https://api.sketchfab.com/v3/models/$MODEL_ID/download")

# Step 2 — Extract the GLB URL (preferred) or fall back to GLTF zip
GLB_URL=$(echo "$DOWNLOAD_JSON" | python3 -c "import sys,json; d=json.load(sys.stdin); print(d.get('glb',{}).get('url',''))")
GLTF_URL=$(echo "$DOWNLOAD_JSON" | python3 -c "import sys,json; d=json.load(sys.stdin); print(d.get('gltf',{}).get('url',''))")

if [ -n "$GLB_URL" ]; then
  # Direct GLB — no conversion needed
  curl -L -o "/tmp/${OUTPUT}" "$GLB_URL"
else
  # GLTF zip — download, unzip, convert
  curl -L -o /tmp/model.zip "$GLTF_URL"
  unzip -o /tmp/model.zip -d /tmp/model_tmp/
  npx gltf-pipeline -i /tmp/model_tmp/scene.gltf -o "/tmp/${OUTPUT}"
  rm -rf /tmp/model.zip /tmp/model_tmp/
fi

# Step 3 — Optimize (MANDATORY — see "Post-Download Optimization" section)
# Sketchfab GLBs are typically 5-30MB; this pipeline gets them to 100-500KB.
npx gltf-transform resize "/tmp/${OUTPUT}" /tmp/opt-s1.glb --width 256 --height 256
npx gltf-transform simplify /tmp/opt-s1.glb /tmp/opt-s2.glb --ratio 0.05 --error 0.02
npx gltf-transform webp /tmp/opt-s2.glb /tmp/opt-s3.glb
npx gltf-transform prune /tmp/opt-s3.glb /tmp/opt-s4.glb
npx gltf-transform draco /tmp/opt-s4.glb "modules/web-app/public/models/${OUTPUT}"
rm -f /tmp/opt-s*.glb "/tmp/${OUTPUT}"

# Step 4 — Generate gzip sidecar for nginx gzip_static
node -e "
const fs=require('fs'),zlib=require('zlib');
const p='modules/web-app/public/models/${OUTPUT}';
const d=fs.readFileSync(p);
fs.writeFileSync(p+'.gz',zlib.gzipSync(d,{level:9}));
console.log('${OUTPUT}:',(d.length/1024).toFixed(0)+'KB →',(fs.statSync(p+'.gz').size/1024).toFixed(0)+'KB gzipped');
"

Read the full file on GitHub · 433 lines

Changes

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.

  1. 8d ago First seen · 433 lines · 66 tokens per session scan C acca9d23823d

Subscribe to this mod's changes

find-3d-assets is a skill published in the GitHub repository cdbattags/ai (4 stars, last pushed 6mo ago), licensed MIT. It adds 66 tokens to every session and 5,036 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it C with 2 findings (recursive force delete, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.