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 skills add landim32/awesome-ai-skills --skill react-alertgit clone --depth 1 https://github.com/landim32/awesome-ai-skillsWrote 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.
[](https://agentmods.dev/skills/landim32/awesome-ai-skills/react-alert)<a href="https://agentmods.dev/skills/landim32/awesome-ai-skills/react-alert"><img src="https://agentmods.dev/badge/skills/landim32/awesome-ai-skills/react-alert/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.
<a href="https://agentmods.dev/skills/landim32/awesome-ai-skills/react-alert"><img src="https://agentmods.dev/badge/skills/landim32/awesome-ai-skills/react-alert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00052 | $0.01047 |
| Opus 5 | $0.00026 | $0.00524 |
| Sonnet 5 | $0.00010 | $0.00209 |
| Haiku 4.5 | $0.00005 | $0.00105 |
Grade A, and why
react-alert 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.
This skill defines the standard approach for displaying alerts, notifications, and user feedback in this project. All alerts MUST use toast notifications from the sonner library — never native browser alerts.
Setup
The sonner package is already installed in this project. The <Toaster> provider is already mounted in src/App.tsx:
import { Toaster } from 'sonner';
// Inside the App component JSX:
<Toaster position="bottom-right" richColors />
No additional setup is needed. Just import toast from sonner and call it.
Rules
- Always use
toastfromsonnerfor any user-facing alert, notification, or feedback message. - Never use
window.alert()— usetoast()ortoast.error()instead. - Never use
window.confirm()— use the Modal component (seereact-modalskill) for confirmation dialogs, with toast for the resulting success/error feedback. - Never use
window.prompt()— use the Modal component with a form input instead. - Never use
console.log()as a substitute for user feedback — if the user should see it, use a toast. - Never create custom alert/notification components (banners, snackbars, inline alerts) for transient feedback. The toast system already handles this with consistent styling and auto-dismiss behavior.
Toast Types
Use the appropriate toast variant to match the nature of the message:
import { toast } from 'sonner';
// Success — operation completed successfully
toast.success('Profile updated successfully!');
// Error — something went wrong
toast.error('Failed to save changes. Please try again.');
// Warning — caution or important notice
toast.warning('Your session will expire in 5 minutes.');
// Info — neutral informational message
toast.info('New updates are available.');
// Default — generic notification (no icon/color)
toast('Something happened.');
// Loading — for async operations with follow-up
toast.loading('Saving changes...');
Usage Patterns
Basic feedback after an action
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.
- 10d ago First seen · 148 lines · 52 tokens per session scan A 127d80b3a210
react-alert is a skill published in the GitHub repository landim32/awesome-ai-skills (1 stars, last pushed 2mo ago), licensed MIT. It adds 52 tokens to every session and 1,047 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.
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