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/reduxnpx skills add vercel-labs/json-render --skill reduxgit 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 | $0.00032 | $0.00489 |
| Opus 5 | $0.00016 | $0.00244 |
| Sonnet 5 | $0.00006 | $0.00098 |
| Haiku 4.5 | $0.00003 | $0.00049 |
Grade A, and why
redux 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.
What it actually says
@json-render/redux
Redux adapter for json-render's StateStore interface. Wire a Redux store (or Redux Toolkit slice) as the state backend for json-render.
Installation
npm install @json-render/redux @json-render/core @json-render/react redux
# or with Redux Toolkit (recommended):
npm install @json-render/redux @json-render/core @json-render/react @reduxjs/toolkit
Usage
import { configureStore, createSlice } from "@reduxjs/toolkit";
import { reduxStateStore } from "@json-render/redux";
import { StateProvider } from "@json-render/react";
// 1. Define a slice for json-render state
const uiSlice = createSlice({
name: "ui",
initialState: { count: 0 } as Record<string, unknown>,
reducers: {
replaceUiState: (_state, action) => action.payload,
},
});
// 2. Create the Redux store
const reduxStore = configureStore({
reducer: { ui: uiSlice.reducer },
});
// 3. Create the json-render StateStore adapter
const store = reduxStateStore({
store: reduxStore,
selector: (state) => state.ui,
dispatch: (next, s) => s.dispatch(uiSlice.actions.replaceUiState(next)),
});
// 4. Use it
<StateProvider store={store}>
{/* json-render reads/writes go through Redux */}
</StateProvider>
API
reduxStateStore(options)
Creates a StateStore backed by a Redux store.
| Option | Type | Required | Description |
|---|---|---|---|
store |
Store |
Yes | The Redux store instance |
selector |
(state) => StateModel |
Yes | Select the json-render slice from the Redux state tree. Use (s) => s if the entire state is the model. |
dispatch |
(nextState, store) => void |
Yes | Dispatch an action that replaces the selected slice with the next state |
The dispatch callback receives the full next state model and the Redux store.
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 · 65 lines · 32 tokens per session scan A 39b7e0118373
redux is a skill published in the GitHub repository vercel-labs/json-render (16,056 stars, last pushed 5d ago), licensed Apache-2.0. It adds 32 tokens to every session and 489 once invoked, about $0.0002 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.
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…