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 Bbeierle12/Skill-MCP-Claude --skill form-validationgit clone --depth 1 https://github.com/Bbeierle12/Skill-MCP-ClaudeWrote 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/bbeierle12/skill-mcp-claude/form-validation)<a href="https://agentmods.dev/skills/bbeierle12/skill-mcp-claude/form-validation"><img src="https://agentmods.dev/badge/skills/bbeierle12/skill-mcp-claude/form-validation/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/bbeierle12/skill-mcp-claude/form-validation"><img src="https://agentmods.dev/badge/skills/bbeierle12/skill-mcp-claude/form-validation.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 | $0.00047 | $0.03484 |
| Opus 5 | $0.00023 | $0.01742 |
| Sonnet 5 | $0.00009 | $0.00697 |
| Haiku 4.5 | $0.00005 | $0.00348 |
Grade A, and why
form-validation 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 9d 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 — 505 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Form Validation
Schema-first validation using Zod as the single source of truth for both runtime validation and TypeScript types.
Quick Start
import { z } from 'zod';
// 1. Define schema (validation + types in one place)
const schema = z.object({
email: z.string().min(1, 'Required').email('Invalid email'),
age: z.number().positive().optional()
});
// 2. Infer TypeScript types (never manually define)
type FormData = z.infer<typeof schema>;
// 3. Use with form library
import { zodResolver } from '@hookform/resolvers/zod';
const { register } = useForm<FormData>({
resolver: zodResolver(schema)
});
Core Principle: Reward Early, Punish Late
This is the optimal validation timing pattern backed by UX research:
| Event | Show Valid (✓) | Show Invalid (✗) | Why |
|---|---|---|---|
| On input | ✅ Immediately | ❌ Never | Don't yell while typing |
| On blur | ✅ Immediately | ✅ Yes | User finished, show errors |
| During correction | ✅ Immediately | ✅ Real-time | Let them fix quickly |
Implementation
// React Hook Form
useForm({
mode: 'onBlur', // First validation on blur (punish late)
reValidateMode: 'onChange' // Re-validate on change (real-time correction)
});
// TanStack Form
useForm({
validators: {
onBlur: schema, // Validate on blur
onChange: schema // Re-validate on change (after touched)
}
});
Zod Schema Patterns
Basic Types
import { z } from 'zod';
// Strings
z.string() // Any string
z.string().min(1, 'Required') // Non-empty (better than .nonempty())
z.string().email('Invalid email')
z.string().url('Invalid URL')
z.string().uuid('Invalid ID')
z.string().regex(/^\d{5}$/, 'Invalid ZIP')
// Numbers
z.number() // Any number
z.number().positive('Must be positive')
z.number().int('Must be whole number')
z.number().min(0).max(100)
// Booleans
z.boolean()
z.literal(true) // Must be exactly true
// Enums
z.enum(['admin', 'user', 'guest'])
// Arrays
z.array(z.string())
z.array(z.string()).min(1, 'Select at least one')
// Objects
z.object({
name: z.string(),
email: z.string().email()
})
What ships with it
5 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.
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.
- 9d ago First seen · 505 lines · 47 tokens per session scan A ae1796b942bf
form-validation is a skill published in the GitHub repository Bbeierle12/Skill-MCP-Claude (8 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 3,484 once invoked, about $0.0002 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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