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 agentmods add skills/oframe/ogpu/scaffold-appnpx skills add oframe/ogpu --skill scaffold-appgit clone --depth 1 https://github.com/oframe/ogpuWhat 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 | $0.00137 | $0.01095 |
| Opus 5 | $0.00068 | $0.00548 |
| Sonnet 5 | $0.00027 | $0.00219 |
| Haiku 4.5 | $0.00014 | $0.00110 |
Grade A, and why
scaffold-app 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 3d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scaffold a OGPU example
Stand up a complete, runnable OGPU example: renderer boot, camera + orbit
controls, an update loop, and one spinning cube built the canonical way —
new Box(gpu) → new RenderPipeline(...) → new Mesh(...). The point is a
clean, idiomatic starting point the user immediately builds on, not a finished
piece.
A shell script generates the two files (class + shader); you wire it into
src/main.js afterward. The split exists because file generation is fixed
boilerplate (delegate it) but the main.js edits are structured insertions into
an existing file (do them precisely with Edit).
Workflow
-
Get the example name. It's used verbatim as the class name; the directory and
?src=value are its lowercased form. Convention here is a PascalCase class in a lowercase dir (e.g.HelloWebGPUinhellowebgpu/). If the user gives a casual name, PascalCase it for the class. -
Run the generator from anywhere (it resolves the repo root itself):
.claude/skills/scaffold-app/scripts/scaffold-app.sh <Name>It creates
examples/<name>/<Name>.js+examples/<name>/cube.wgsland refuses to overwrite an existing example dir (surface the error, don't force). -
Wire
src/main.js— three insertions, matching the surrounding style:- an
import { <Name> } from './examples/<name>/<Name>';with the others; - a
case '<name>': new <Name>(); break;in theswitch (view); - a
{ view: '<name>', label: '<Label>', folder: '<name>' },entry in theitemsarray insiderenderLanding(), under the most fitting{ section: '...' }header, so it shows on the gallery landing page.
- an
-
Validate the shader without a browser:
node scripts/validate-shaders.mjs examples/<name>/cube.wgsl(runsnaga). The generated cube always passes; re-run after any edits. -
Tell the user it boots at
?src=<name>(npm run dev, thenhttp://localhost:5173/?src=<name>).
What the generated class does
What ships with it
1 file 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.
- 3d ago First seen · 79 lines · 137 tokens per session scan A 8568929419c1
scaffold-app is a skill published in the GitHub repository oframe/ogpu (139 stars, last pushed 22d ago), licensed Unlicense. It adds 137 tokens to every session and 1,095 once invoked, about $0.0007 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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