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 codebygarv/Ai-skills --skill form-ux-optimizergit clone --depth 1 https://github.com/codebygarv/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/codebygarv/ai-skills/form-ux-optimizer)<a href="https://agentmods.dev/skills/codebygarv/ai-skills/form-ux-optimizer"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/form-ux-optimizer/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/codebygarv/ai-skills/form-ux-optimizer"><img src="https://agentmods.dev/badge/skills/codebygarv/ai-skills/form-ux-optimizer.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 | $0.00030 | $0.00397 |
| Opus 5 | $0.00015 | $0.00198 |
| Sonnet 5 | $0.00006 | $0.00079 |
| Haiku 4.5 | $0.00003 | $0.00040 |
Grade A, and why
form-ux-optimizer 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.
What it actually says
Purpose
Transform frustrating, high-friction web forms into seamless, accessible, high-conversion experiences with optimized validation timing (onBlur vs onChange), autocomplete attributes, keyboard navigation, and clear error summaries.
When to Use
- High abandonment rates on checkout, registration, or loan application forms.
- Forms that aggressively yell at users with red error messages before they finish typing.
- Auditing forms for mobile usability, virtual keyboard optimization, and WCAG accessibility.
What to Analyze
- Validation Timing: Validate on blur for clean inputs, validate on change only after an initial error is triggered (Reward Early, Punish Late).
- HTML Autocomplete & Input Types: Use proper
autocompleteattributes (email,name,address-line1,cc-number) andinputmode(numeric,email,tel). - Error Presentation: Inline field-level error messages connected via
aria-describedby+ Top-level accessible error summary dialog. - Cognitive Load & Grouping: Break long 20-field forms into logical visual fieldsets or multi-step wizard cards.
- Action Hierarchy: Clear primary submit button vs subtle secondary cancel link (prevent accidental clears).
Output Format
- UX Form Audit Table: [Field | Identified Friction | Remediation | Autocomplete Token].
- Accessible Form Component (React/HTML): Semantic form with ARIA bindings and floating labels.
- Validation Timing Rules: State management logic for clean vs dirty vs touched fields.
Avoid
- Validating required fields and displaying error messages on initial keystroke while the user is still typing.
- Using placeholder text as the sole label for form inputs.
What ships with it
2 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.
- 5d ago First seen · 34 lines · 30 tokens per session scan A 642d05244c68
form-ux-optimizer is a skill published in the GitHub repository codebygarv/Ai-skills (25 stars, last pushed 19d ago), licensed MIT. It adds 30 tokens to every session and 397 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 2026-09-03.
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