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 berkcangumusisik/claude-code-practices --skill form-gengit clone --depth 1 https://github.com/berkcangumusisik/claude-code-practicesWrote 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/berkcangumusisik/claude-code-practices/form-gen)<a href="https://agentmods.dev/skills/berkcangumusisik/claude-code-practices/form-gen"><img src="https://agentmods.dev/badge/skills/berkcangumusisik/claude-code-practices/form-gen.svg" alt="Measured on agentmods" 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 | $0.00017 | $0.00307 |
| Opus 5 | $0.00009 | $0.00153 |
| Sonnet 5 | $0.00003 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
form-gen 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 8d 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.
What it actually says
Generate Form
Form description: $ARGUMENTS
- Detect form library:
cat package.json | grep -E '"react-hook-form"|"formik"|"react-final-form"|"@tanstack/form"'
cat package.json | grep -E '"zod"|"yup"|"joi"'
-
Read an existing form component to match patterns.
-
Generate the form with:
- Field definitions based on description
- Zod/Yup validation schema
- Inline error messages (accessible -
aria-describedby) - Loading state on submit
- Success/error feedback
- Proper
nameattributes for autofill autocompletehints where applicable
-
TypeScript types for form values and submit handler.
-
Example output for a login form:
const loginSchema = z.object({
email: z.string().email('Invalid email'),
password: z.string().min(8, 'At least 8 characters'),
})
export function LoginForm({ onSubmit }: LoginFormProps) {
const form = useForm({ resolver: zodResolver(loginSchema) })
// ...
}
- Place in the components directory following project conventions.
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.
- 8d ago First seen · 47 lines · 17 tokens per session scan A aa9497145981
form-gen is a skill published in the GitHub repository berkcangumusisik/claude-code-practices (10 stars, last pushed 4mo ago), licensed MIT. It adds 17 tokens to every session and 307 once invoked, about $0.0001 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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