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/gimenete/codeflow/react-effectsnpx skills add gimenete/codeflow --skill react-effectsgit clone --depth 1 https://github.com/gimenete/codeflowWhat 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 | $0.00069 | $0.00920 |
| Opus 5 | $0.00034 | $0.00460 |
| Sonnet 5 | $0.00014 | $0.00184 |
| Haiku 4.5 | $0.00007 | $0.00092 |
Grade A, and why
react-effects 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 yesterday.
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.
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You Might Not Need an Effect
Effects are an escape hatch from the React paradigm. They let components synchronize with external systems (network, browser DOM, third-party widgets, non-React code). If no external system is involved, removing the Effect typically simplifies the code and eliminates bugs.
Core Decision Tree
Before writing a useEffect, apply this checklist in order:
- Can this be calculated during rendering? Compute it directly in the component body or with
useMemo. - Is this in response to a user event? Put the logic in the event handler, not an Effect.
- Does state need to reset when a prop changes? Use a
keyon the component or compute derived values. - Is this a chain of state updates? Consolidate into one event handler.
- Is this notifying a parent or passing data upward? Lift the state or call the parent callback from the event handler.
- Is this app initialization that should run once? Use a module-level guard or run before rendering.
- Is this synchronizing with an external system? This is a valid Effect. Include proper cleanup.
Anti-Patterns to Eliminate
Derived State in Effects
Never store computed values in state and sync them with an Effect. Calculate during render.
// BAD
const [fullName, setFullName] = useState("");
useEffect(() => {
setFullName(firstName + " " + lastName);
}, [firstName, lastName]);
// GOOD
const fullName = firstName + " " + lastName;
For expensive computations, use useMemo instead of state + Effect.
User Event Logic in Effects
Logic that runs because a user did something belongs in the event handler — not in an Effect triggered by state the handler set.
// BAD: shows notification on page load if item already in cart
useEffect(() => {
if (product.isInCart) showNotification("Added!");
}, [product]);
// GOOD: shows notification only when user clicks buy
function handleBuyClick() {
addToCart(product);
showNotification("Added!");
}
What ships with it
1 file 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.
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.
- yesterday First seen · 102 lines · 69 tokens per session scan A 223c75e595d3
react-effects is a skill published in the GitHub repository gimenete/codeflow (5 stars, last pushed 6mo ago), licensed MIT. It adds 69 tokens to every session and 920 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
babysit-pr
Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…
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…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…