Native SDK is a toolkit for building desktop applications with native rendering instead of a browser, WebView, or JavaScript runtime bundled into the application. Developers author interfaces in `.native` markup and write application logic in TypeScript or Zig, which the toolkit compiles and renders in real operating-system windows. The catalogue entries provide skills and instructions for working with Native SDK.
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 vercel-labs/native --skill ziggit clone --depth 1 https://github.com/vercel-labs/nativeWrote 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/vercel-labs/native/zig)<a href="https://agentmods.dev/skills/vercel-labs/native/zig"><img src="https://agentmods.dev/badge/skills/vercel-labs/native/zig/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/vercel-labs/native/zig"><img src="https://agentmods.dev/badge/skills/vercel-labs/native/zig.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 | $0.00159 | $0.03738 |
| Opus 5.5 | $0.00064 | $0.01495 |
| Sonnet 5.5 | $0.00032 | $0.00748 |
| Haiku 4.5 | $0.00016 | $0.00374 |
Grade A, and why
zig 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Zig 0.16 for Native SDK code
The Native SDK requires Zig 0.16.0 (minimum_zig_version in build.zig.zon; the CLI pins the same version and offers a checksum-verified download into ~/.native/toolchains/ when the zig on PATH does not match). Training data and older guides teach Zig 0.15 idioms, and 0.16 moved everything that touches the outside world — files, stdout, clocks, sleeping, process spawning, sockets — behind an explicit std.Io value, while containers became allocator-per-call. Each section below is headed by the exact compile error the old idiom produces, so search this file by error text.
Two rules resolve most failures:
- Operations on the outside world take a
std.Iofirst (or right after the receiver). Get one frominit.ioinmain(init: std.process.Init), fromstd.testing.ioin tests, or fromstd.Io.Threadedin code with noInitto thread through. - Containers are unmanaged: initialize with
.emptyand pass the allocator to every mutating call.
In a UiApp, update never sees an Io — persistence, record and relational storage, secure credentials, subprocesses, HTTP, clocks, and timers go through the typed effects channel (fx.persist, fx.storeSet/storeGet/storeDelete/storeScan/storeSetMany, fx.dbQuery/dbExec, fx.credentialsSet/credentialsGet/credentialsDelete, fx.readFile/appendFile/statFile/deleteFile/streaming file verbs, fx.spawn, fx.fetch, fx.wallMs, fx.startTimer; see native skills get native-ui). Whole-file IO stays capped at 1 MiB; streamed reads deliver 256-KiB chunks, and streamed writes finalize atomically on close. External raw paths require the filesystem permission, while the app's six resolved directories are exempt after symlink-safe canonicalization. Raw std.Io belongs in main, tests, and standalone tools. Record-store apps declare "store"; relational apps declare "sqlite"; credentials require both the "credentials" capability and permission. Credential Msg arms carry EffectCredentialsResult; consume successful get bytes immediately and never retain them in Model. The engine owns database paths and app-scoped credential namespaces, while every result still returns as a Msg and crosses the replay journal (credential bytes are redacted). Use TestHarness().createWithRelationalStore for a hermetic in-memory relational database and TestHarness().createWithCredentials for a hermetic in-memory credential store. And because Zig analyzes lazily, a 0.15-ism can hide in code only one build path references: run BOTH zig build and zig build test before calling a change done.
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 · 209 lines · 159 tokens per session scan A 901aaebd73c7
zig is a skill published in the GitHub repository vercel-labs/native (7,804 stars, last pushed yesterday), licensed Apache-2.0. It adds 159 tokens to every session and 3,738 once invoked, about $0.0006 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.
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