frontend-forms

frontend-forms is a cursor rule for Cursor from golid-ai/golid. It costs 0 tokens per session (980 once invoked), scanned A, original, MIT.

Coding rules for handling form errors in a web interface. They distinguish errors while loading a page, errors after submitting a form, and errors belonging to a specific field.

In plain words
What is it for?
Use them when building form submission logic, validation messages, loading states, success notices, and error handling for network or login failures.
Why use it?
They help users see the right kind of feedback in the right place instead of receiving vague or misplaced error messages.

Cursor rule for Cursor

Install

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.

agentmods
npx agentmods add rules/golid-ai/golid/frontend-forms
Clone the repo
git clone --depth 1 https://github.com/golid-ai/golid

Made for: Cursor.

Wrote 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.

agentmods badge for frontend-forms

README.md
[![agentmods](https://agentmods.dev/badge/rules/golid-ai/golid/frontend-forms.svg)](https://agentmods.dev/rules/golid-ai/golid/frontend-forms)
Your own site
<a href="https://agentmods.dev/rules/golid-ai/golid/frontend-forms"><img src="https://agentmods.dev/badge/rules/golid-ai/golid/frontend-forms.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 980 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00000 $0.00980
Opus 5 $0.00000 $0.00490
Sonnet 5 $0.00000 $0.00196
Haiku 4.5 $0.00000 $0.00098

Measured 4d ago against content hash a397e1696dd9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

frontend-forms 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 4d 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.

.cursor/rules/frontend-forms.mdc · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Frontend Forms & Error Display

Thesis: Display page-load errors in Switch/Match states, submission errors via toast, and field-level errors inline. Keep user-visible submit state batched with its success or error branch.

Error Display Decision Tree

  • API call fails during page loadSwitch/Match error state with <Alert> component
  • API call fails during form submittoast.error() with message
  • Field-level validation errors from backend → inline error messages under each input
  • Network/auth errors → handled by api.ts automatically (401 refresh, etc.)

Form Submission Pattern

Uses batch() in both try and catch; do not put user-visible submit state in finally.

const [saving, setSaving] = createSignal(false);
const [fieldErrors, setFieldErrors] = createSignal<Record<string, string>>({});

const handleSubmit = async () => {
  setSaving(true);
  setFieldErrors({});
  try {
    await api.create(formData);
    if (!alive) return;
    batch(() => {
      setSaving(false);
      toast.success("Created successfully");
    });
    onClose(); // or refetch
  } catch (err) {
    if (!alive) return;
    const apiErr = err as {
      message?: string;
      details?: Record<string, string>;
    };
    batch(() => {
      setSaving(false);
      if (apiErr.details) {
        setFieldErrors(apiErr.details);
      } else {
        toast.error(getErrorMessage(err, "Failed to create"));
      }
    });
  }
  // setSaving(false) is in both branches, wrapped in batch()
};

Why No finally

// BAD — finally runs unbatched after catch, creating intermediate visible state
try { ... }
catch { batch(() => { setError(msg); setSaving(false); }); }
finally { setSaving(false); } // runs AFTER catch, unbatched — error + saving both true briefly

// GOOD — setSaving(false) inside both branches, always in batch()
try {
  if (!alive) return;
  batch(() => { setSaving(false); toast.success("Done"); });
} catch {
  if (!alive) return;
  batch(() => { setSaving(false); toast.error("Failed"); });
}

Read the full file on GitHub · 119 lines

Changes

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.

  1. 4d ago First seen · 119 lines · 0 tokens per session scan A a397e1696dd9

Subscribe to this mod's changes

frontend-forms is a cursor rule published in the GitHub repository golid-ai/golid (40 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 980 tokens. 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 2026-08-30.