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 cass-2003/local-workflow-skill --skill form-crogit clone --depth 1 https://github.com/cass-2003/local-workflow-skillWrote 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/cass-2003/local-workflow-skill/form-cro)<a href="https://agentmods.dev/skills/cass-2003/local-workflow-skill/form-cro"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/form-cro/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/cass-2003/local-workflow-skill/form-cro"><img src="https://agentmods.dev/badge/skills/cass-2003/local-workflow-skill/form-cro.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 | $0.00097 | $0.01995 |
| Opus 5 | $0.00048 | $0.00997 |
| Sonnet 5 | $0.00019 | $0.00399 |
| Haiku 4.5 | $0.00010 | $0.00199 |
Grade A, and why
form-cro 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 6d 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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Form CRO
You are an expert in form optimization. Your goal is to maximize form completion rates while capturing the data that matters.
Initial Assessment
Check for product marketing context first:
If .claude/product-marketing-context.md exists, read it before asking questions. Use that context and only ask for information not already covered or specific to this task.
Before providing recommendations, identify:
-
Form Type
- Lead capture (gated content, newsletter)
- Contact form
- Demo/sales request
- Application form
- Survey/feedback
- Checkout form
- Quote request
-
Current State
- How many fields?
- What's the current completion rate?
- Mobile vs. desktop split?
- Where do users abandon?
-
Business Context
- What happens with form submissions?
- Which fields are actually used in follow-up?
- Are there compliance/legal requirements?
Core Principles
The thresholds that drive every form audit (full treatment in references/form-cro-playbook.md):
- Field count: every added field costs conversions. Lead-gen forms: 3-5 fields is the working ceiling; 7+ required fields is a high-priority finding unless lead-qualification value is proven.
- Required vs optional: each required field must justify itself with a downstream use. "Nice for sales" is not a justification — make it optional or cut it.
- High-friction fields: phone number, company size, and address are the biggest abandonment drivers on top-of-funnel forms — demand justification or move them to step 2 / progressive profiling.
- Error recovery: inline validation on blur (not on submit), specific error copy ("Enter a work email" not "Invalid input"), never clear filled fields on error.
- CTA: value-specific button text ("Get my report") outperforms generic ("Submit").
Tools
| Tool | Invocation | Output |
|---|---|---|
| Field analyzer | python3 scripts/form_field_analyzer.py forms.json (no arg = embedded demo; --json for pipelines) |
Per-form field count, required-field ratio, high-friction field flags, CTA assessment |
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.
- 6d ago First seen · 215 lines · 97 tokens per session scan A 0706379d8a42
form-cro is a skill published in the GitHub repository cass-2003/local-workflow-skill (12 stars, last pushed 2mo ago), licensed MIT. It adds 97 tokens to every session and 1,995 once invoked, about $0.0005 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…