json-render is a framework where AI produces user interfaces as structured JSON constrained by a developer-defined component catalogue. It is for building dynamic interfaces from natural-language prompts across web and mobile frameworks.
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/json-render --skill jotaigit clone --depth 1 https://github.com/vercel-labs/json-renderWrote 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/json-render/jotai)<a href="https://agentmods.dev/skills/vercel-labs/json-render/jotai"><img src="https://agentmods.dev/badge/skills/vercel-labs/json-render/jotai/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/json-render/jotai"><img src="https://agentmods.dev/badge/skills/vercel-labs/json-render/jotai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00036 | $0.00525 |
| Opus 5.5 | $0.00014 | $0.00210 |
| Sonnet 5.5 | $0.00007 | $0.00105 |
| Haiku 4.5 | $0.00004 | $0.00052 |
Grade A, and why
jotai 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 2mo 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.
What it actually says
@json-render/jotai
Jotai adapter for json-render's StateStore interface. Wire a Jotai atom as the state backend for json-render.
Installation
npm install @json-render/jotai @json-render/core @json-render/react jotai
Usage
import { atom } from "jotai";
import { jotaiStateStore } from "@json-render/jotai";
import { StateProvider } from "@json-render/react";
// 1. Create an atom that holds the json-render state
const uiAtom = atom<Record<string, unknown>>({ count: 0 });
// 2. Create the json-render StateStore adapter
const store = jotaiStateStore({ atom: uiAtom });
// 3. Use it
<StateProvider store={store}>
{/* json-render reads/writes go through Jotai */}
</StateProvider>
With a Shared Jotai Store
When your app already uses a Jotai <Provider> with a custom store, pass it so both json-render and your components share the same state:
import { atom, createStore } from "jotai";
import { Provider as JotaiProvider } from "jotai/react";
import { jotaiStateStore } from "@json-render/jotai";
import { StateProvider } from "@json-render/react";
const jStore = createStore();
const uiAtom = atom<Record<string, unknown>>({ count: 0 });
const store = jotaiStateStore({ atom: uiAtom, store: jStore });
<JotaiProvider store={jStore}>
<StateProvider store={store}>
{/* Both json-render and useAtom() see the same state */}
</StateProvider>
</JotaiProvider>
API
jotaiStateStore(options)
Creates a StateStore backed by a Jotai atom.
| Option | Type | Required | Description |
|---|---|---|---|
atom |
WritableAtom<StateModel, [StateModel], void> |
Yes | A writable atom holding the state model |
store |
Jotai Store |
No | The Jotai store instance. Defaults to a new store. Pass your own to share state with <Provider>. |
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.
- 2mo ago First seen · 67 lines · 36 tokens per session scan A 9b0fd4fd0359
jotai is a skill published in the GitHub repository vercel-labs/json-render (19,433 stars, last pushed yesterday), licensed Apache-2.0. It adds 36 tokens to every session and 525 once invoked, about $0.0001 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.
jotai compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| jotaivercel-labs/json-render | Skill | 19k | yesterday | Apache-2.0 | A | 36 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |