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 BlackBeltTechnology/pi-agent-dashboard --skill zod-react-hook-formgit clone --depth 1 https://github.com/BlackBeltTechnology/pi-agent-dashboardWrote 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/blackbelttechnology/pi-agent-dashboard/zod-react-hook-form)<a href="https://agentmods.dev/skills/blackbelttechnology/pi-agent-dashboard/zod-react-hook-form"><img src="https://agentmods.dev/badge/skills/blackbelttechnology/pi-agent-dashboard/zod-react-hook-form/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/blackbelttechnology/pi-agent-dashboard/zod-react-hook-form"><img src="https://agentmods.dev/badge/skills/blackbelttechnology/pi-agent-dashboard/zod-react-hook-form.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00054 | $0.01677 |
| Opus 5 | $0.00027 | $0.00839 |
| Sonnet 5 | $0.00011 | $0.00335 |
| Haiku 4.5 | $0.00005 | $0.00168 |
Grade A, and why
zod-react-hook-form 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 5d 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 — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Zod + React Hook Form
Schema Definition
// lib/validations.ts
import { z } from 'zod';
export const contactFormSchema = z.object({
name: z.string().min(2, 'Name must be at least 2 characters'),
email: z.string().email('Please enter a valid email'),
phone: z.string().optional(),
message: z.string().min(10, 'Message must be at least 10 characters'),
});
export type ContactFormData = z.infer<typeof contactFormSchema>;
export const bookingRequestSchema = z.object({
name: z.string().min(2),
email: z.string().email(),
phone: z.string().optional(),
goals: z.string().min(10),
experienceLevel: z.enum(['beginner', 'intermediate', 'advanced']),
injuries: z.string().optional(),
preferredTimes: z.string().min(5),
sessionType: z.enum(['in-person', 'online']),
});
export type BookingRequestData = z.infer<typeof bookingRequestSchema>;
Client Component Form
'use client';
import { useForm } from 'react-hook-form';
import { zodResolver } from '@hookform/resolvers/zod';
import { useTranslations } from 'next-intl';
import { contactFormSchema, type ContactFormData } from '@/lib/validations';
import {
Form,
FormControl,
FormField,
FormItem,
FormLabel,
FormMessage,
} from '@/components/ui/form';
import { Input } from '@/components/ui/input';
import { Textarea } from '@/components/ui/textarea';
import { Button } from '@/components/ui/button';
export function ContactForm() {
const t = useTranslations('form');
const form = useForm<ContactFormData>({
resolver: zodResolver(contactFormSchema),
defaultValues: {
name: '',
email: '',
phone: '',
message: '',
},
});
const onSubmit = async (data: ContactFormData) => {
try {
const response = await fetch('/api/contact', {
method: 'POST',
body: JSON.stringify(data),
});
if (!response.ok) throw new Error();
form.reset();
// Show success toast
} catch {
// Show error toast
}
};
return (
<Form {...form}>
<form onSubmit={form.handleSubmit(onSubmit)} className="space-y-4">
<FormField
control={form.control}
name="name"
render={({ field }) => (
<FormItem>
<FormLabel>{t('name')}</FormLabel>
<FormControl>
<Input {...field} />
</FormControl>
<FormMessage />
</FormItem>
)}
/>
<FormField
control={form.control}
name="email"
render={({ field }) => (
<FormItem>
<FormLabel>{t('email')}</FormLabel>
<FormControl>
<Input type="email" {...field} />
</FormControl>
<FormMessage />
</FormItem>
)}
/>
<FormField
control={form.control}
name="message"
render={({ field }) => (
<FormItem>
<FormLabel>{t('message')}</FormLabel>
<FormControl>
<Textarea rows={4} {...field} />
</FormControl>
<FormMessage />
</FormItem>
)}
/>
<Button type="submit" disabled={form.formState.isSubmitting}>
{form.formState.isSubmitting ? t('submitting') : t('submit')}
</Button>
</form>
</Form>
);
}
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.
- 5d ago First seen · 277 lines · 54 tokens per session scan A a628b19b0989
zod-react-hook-form is a skill published in the GitHub repository BlackBeltTechnology/pi-agent-dashboard (278 stars, last pushed today), licensed MIT. It adds 54 tokens to every session and 1,677 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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