stagewise: Skill for Claude Code

.agents/skills/vercel-react-best-practices/SKILL.md

vercel-react-best-practices is a skill for Claude Code, Codex from stagewise-io/stagewise. It costs 67 tokens per session (1,764 once invoked), scanned A, original, AGPL-3.0.

A collection of performance guidelines for React and Next.js, tools for building web interfaces and web applications.

In plain words
What is it for?
Use it when writing, reviewing, or refactoring components, pages, data loading, and JavaScript bundles.
Why use it?
It helps identify coding patterns that can make React or Next.js applications slower or send more data than necessary.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is stagewise-io/stagewise's own configuration. It tells Claude Code and Codex how to work on stagewise itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything stagewise configures →

About the project

stagewise is an open-source agentic IDE that combines a coding agent, browser-based app previews, debugging tools, and git workflows in one development environment. Developers use it to build and inspect applications with models from different providers. Catalogue add-ons extend the IDE's agent workflows.

stagewise-io/stagewise · 6,810 stars · on GitHub · stagewise.io

Reuse

Borrowing it

Nothing to install: this file belongs to stagewise-io/stagewise. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/stagewise-io/stagewise/main/.agents/skills/vercel-react-best-practices/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/stagewise-io/stagewise

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for vercel-react-best-practices

README.md
[![agentmods](https://agentmods.dev/badge/skills/stagewise-io/stagewise/vercel-react-best-practices/github.svg)](https://agentmods.dev/skills/stagewise-io/stagewise/vercel-react-best-practices)
Your own site
<a href="https://agentmods.dev/skills/stagewise-io/stagewise/vercel-react-best-practices"><img src="https://agentmods.dev/badge/skills/stagewise-io/stagewise/vercel-react-best-practices/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.

agentmods 80×15 button for vercel-react-best-practices

Your own site · 80×15
<a href="https://agentmods.dev/skills/stagewise-io/stagewise/vercel-react-best-practices"><img src="https://agentmods.dev/badge/skills/stagewise-io/stagewise/vercel-react-best-practices.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,764 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.01764
Opus 5 $0.00034 $0.00882
Sonnet 5 $0.00013 $0.00353
Haiku 4.5 $0.00007 $0.00176

Measured 11d ago against content hash 71ed7794962f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

vercel-react-best-practices 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 11d 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.

.agents/skills/vercel-react-best-practices/SKILL.md · 150 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 11d ago First seen · 150 lines · 67 tokens per session scan A 71ed7794962f

Subscribe to this mod's changes

vercel-react-best-practices is a skill published in the GitHub repository stagewise-io/stagewise (6,810 stars, last pushed today), licensed AGPL-3.0. It adds 67 tokens to every session and 1,764 once invoked, about $0.0003 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.

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