NVIDIA Cloud Functions is a platform for deploying, managing, and running GPU-based workloads such as inference, streaming, and batch processing, while routing requests to GPU worker clusters. Its monorepo contains the service code, deployment materials, documentation, examples, command-line tools, agent skills, and validation tools used to build and operate the platform.
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 NVIDIA/nvcf --skill codegengit clone --depth 1 https://github.com/NVIDIA/nvcfWrote 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/nvidia/nvcf/codegen)<a href="https://agentmods.dev/skills/nvidia/nvcf/codegen"><img src="https://agentmods.dev/badge/skills/nvidia/nvcf/codegen/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/nvidia/nvcf/codegen"><img src="https://agentmods.dev/badge/skills/nvidia/nvcf/codegen.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00059 | $0.00746 |
| Opus 5.5 | $0.00024 | $0.00298 |
| Sonnet 5.5 | $0.00012 | $0.00149 |
| Haiku 4.5 | $0.00006 | $0.00075 |
Grade A, and why
codegen 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Generation Pipeline
task generate runs Orval, which reads the three OpenAPI specs in spec/
directly and generates React Query hooks, TypeScript models, and MSW handler
factories into ui/src/generated/. It then adds Apache license headers to the
output. There is no bundling step (no Redocly, no openapi.yaml).
Specs:
spec/control-plane-openapi.yaml— the UI shim/BFF APIspec/nvcf-openapi.yaml— NVCF Cloud Functions (v2) APIspec/sis-openapi.yaml— cluster API
Gotchas
- Edit the specs in
spec/— never edit anything inui/src/generated/(regenerated output). ui/src/generated/is committed and enforced by the Codegen Check CI job: if you change a spec, runtask generateand commit the regenerated output, or CI fails on the diff.- Orval config is in
ui/orval.config.ts(one sharedoutputblock spread across all three specs). Customize generation there, not in the generated files. - Generated hook names follow Orval's convention:
useGetFunctions,useGetFunctionsSuspense,getGetFunctionsQueryOptions. The double "Get" is expected — don't rename them.
What Gets Generated
- React Query hooks —
useGetFunctions,useGetFunctionsSuspense, etc. (suspense variants are generated globally). - Query options factories —
getGetFunctionsQueryOptionsfor use in route loaders. - TypeScript models — plain
interface/typefiles inui/src/generated/model/(no runtime validation). Zod generation is intentionally off; re-add it as a separateclient: "zod"Orval target if runtime validation is ever needed. - MSW handler factories — per-endpoint mock handlers plus per-response mock generators (
getGetFunctionVersionResponseMock, etc.).
Mocks and Scenarios
The default mock baseline is a seeded in-memory store (ui/src/mocks/store/), not the raw generated handlers. The store builds a stable dataset once (keyed by account ncaId) using the generated response-mock generators, so list and detail views stay consistent and their IDs line up.
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 First seen · 52 lines · 59 tokens per session scan A e8f57dad7fad
codegen is a skill published in the GitHub repository NVIDIA/nvcf (238 stars, last pushed today), licensed Apache-2.0. It adds 59 tokens to every session and 746 once invoked, about $0.0002 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 2026-08-30.
Other skills, from other repositories
client-setup
Create a vanilla tRPC client with createTRPCClient (), configure link chain with httpBatchLink/httpLink, dynamic headers for auth, transformer on links (not client constructor). Infer types with inferRouterInputs and inferRouterOutputs. AbortController signal support. TRPCClientError typing.
adapter-express
Mount tRPC as Express middleware with createExpressMiddleware() from @trpc/server/adapters/express. Access Express req/res in createContext via CreateExpressContextOptions. Mount at a path prefix like app.use('/trpc', ...). Avoid global express.json() conflicting with tRPC body parsing for FormData.
trpc-router
Entry point for all tRPC skills. Decision tree routing by task: initTRPC.create(), t.router(), t.procedure, createTRPCClient, adapters, subscriptions, React Query, Next.js, links, middleware, validators, error handling, caching, FormData.
custom-features
Implement a Table v9 plugin when built-ins and typed meta are insufficient. Covers FeatureMaps, runtime lifecycle hooks, prototypes, and a complete checked example.
fast-typescript-check
Keep www-sacred's TypeScript fast to type-check and fast to run. Use when touching the ASCII/canvas animation components (the only real per-frame code here), tightening type-check wall-clock, or auditing a change for runtime or compiler regressions. Scoped to this repo — a React 19 / Next.js 16 component library plus…
port-sacred-terminal-ui-to-typescript-cli
Take a React Window.tsx (or any sacred component) and produce a terminal CLI screen written in TypeScript that uses Simulacrum — the sacred CLI framework in scripts/cli/lib/.