vercel-react-best-practices

vercel-react-best-practices is a skill for Claude Code, Codex from calesthio/OpenMontage. It costs 67 tokens per session (1,750 once invoked), scanned A, original, AGPL-3.0.

A guide to improving the speed and efficiency of React and Next.js applications, including their components, pages, data loading, and bundled code.

In plain words
What is it for?
It is for writing, reviewing, or restructuring React and Next.js code with performance in mind.
Why use it?
It helps identify common performance problems before they make an interface slow or wasteful.

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).

not rated 57krepo +709 3d ago A scan Socket: passSnyk: passSkillSpector: pass 67 tokens AGPL-3.0

Good fit It is for writing, reviewing, or restructuring React and Next.js code with performance in mind.

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Install with agentmods
npx agentmods add skills/calesthio/openmontage/vercel-react-best-practices
About the project

OpenMontage is an agent-driven video production system that uses coding assistants to handle tasks such as research, scripting, asset creation, editing, and composition. It is intended for people who want to produce videos through natural-language instructions and includes the project's workflows as catalogue add-ons.

calesthio/OpenMontage · 56,757 stars · on GitHub · openmontage.video

Install

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.

Any agent
npx skills add calesthio/OpenMontage --skill vercel-react-best-practices
Clone the repo
git clone --depth 1 https://github.com/calesthio/OpenMontage

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/calesthio/openmontage/vercel-react-best-practices/github.svg)](https://agentmods.dev/skills/calesthio/openmontage/vercel-react-best-practices)
Your own site
<a href="https://agentmods.dev/skills/calesthio/openmontage/vercel-react-best-practices"><img src="https://agentmods.dev/badge/skills/calesthio/openmontage/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/calesthio/openmontage/vercel-react-best-practices"><img src="https://agentmods.dev/badge/skills/calesthio/openmontage/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 1,750 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
  • Socket pass 4 Apr 2026
  • Snyk pass 4 Apr 2026
  • 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 $0.01750
Opus 5 $0.00034 $0.00875
Sonnet 5 $0.00013 $0.00350
Haiku 4.5 $0.00007 $0.00175

Measured 6d ago against content hash 97c8b0404aa9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 6d 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 · 148 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. 6d ago First seen · 148 lines · 67 tokens per session scan A 97c8b0404aa9

Subscribe to this mod's changes

vercel-react-best-practices is a skill published in the GitHub repository calesthio/OpenMontage (56,757 stars, last pushed 3d ago), licensed AGPL-3.0. It adds 67 tokens to every session and 1,750 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 2026-09-03.

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