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/vercel-labs/json-render/inknpx skills add vercel-labs/json-render --skill inkgit clone --depth 1 https://github.com/vercel-labs/json-renderWhat 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 | $0.00049 | $0.02448 |
| Opus 5 | $0.00024 | $0.01224 |
| Sonnet 5 | $0.00010 | $0.00490 |
| Haiku 4.5 | $0.00005 | $0.00245 |
Grade A, and why
ink 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 2d 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.
This is a copy
95% identical to ink — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
@json-render/ink
Ink terminal renderer that converts JSON specs into interactive terminal component trees with standard components, data binding, visibility, actions, and dynamic props.
Quick Start
import { defineCatalog } from "@json-render/core";
import { schema } from "@json-render/ink/schema";
import {
standardComponentDefinitions,
standardActionDefinitions,
} from "@json-render/ink/catalog";
import { defineRegistry, Renderer, type Components } from "@json-render/ink";
import { z } from "zod";
// Create catalog with standard + custom components
const catalog = defineCatalog(schema, {
components: {
...standardComponentDefinitions,
CustomWidget: {
props: z.object({ title: z.string() }),
slots: [],
description: "Custom widget",
},
},
actions: standardActionDefinitions,
});
// Register only custom components (standard ones are built-in)
const { registry } = defineRegistry(catalog, {
components: {
CustomWidget: ({ props }) => <Text>{props.title}</Text>,
} as Components<typeof catalog>,
});
// Render
function App({ spec }) {
return (
<JSONUIProvider initialState={{}}>
<Renderer spec={spec} registry={registry} />
</JSONUIProvider>
);
}
Spec Structure (Flat Element Map)
The Ink schema uses a flat element map with a root key:
{
"root": "main",
"elements": {
"main": {
"type": "Box",
"props": { "flexDirection": "column", "padding": 1 },
"children": ["heading", "content"]
},
"heading": {
"type": "Heading",
"props": { "text": "Dashboard", "level": "h1" },
"children": []
},
"content": {
"type": "Text",
"props": { "text": "Hello from the terminal!" },
"children": []
}
}
}
Standard Components
Layout
Box- Flexbox layout container (like a terminal<div>). Use for grouping, spacing, borders, alignment. Default flexDirection is row.Text- Text output with optional styling (color, bold, italic, etc.)Newline- Inserts blank lines. Must be inside a Box with flexDirection column.Spacer- Flexible empty space that expands along the main axis.
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.
- 2d ago First seen · 276 lines · 49 tokens per session scan A e1e05aafb753
ink is a skill published in the GitHub repository vercel-labs/json-render (16,056 stars, last pushed 4d ago), licensed Apache-2.0. It adds 49 tokens to every session and 2,448 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to ink, differing in 2 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…