Claude Code Templates is a command-line tool and catalogue for configuring Anthropic’s Claude Code with agents, commands, settings, hooks, integrations, skills, and project templates. Developers use it to browse and install reusable components for their coding workflows. The catalogue includes many of these Claude Code components.
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 davila7/claude-code-templates --skill form-crogit clone --depth 1 https://github.com/davila7/claude-code-templatesWrote 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/davila7/claude-code-templates/form-cro)<a href="https://agentmods.dev/skills/davila7/claude-code-templates/form-cro"><img src="https://agentmods.dev/badge/skills/davila7/claude-code-templates/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/davila7/claude-code-templates/form-cro"><img src="https://agentmods.dev/badge/skills/davila7/claude-code-templates/form-cro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 65 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.02405 |
| Opus 5.5 | $0.00039 | $0.00962 |
| Sonnet 5.5 | $0.00019 | $0.00481 |
| Haiku 4.5 | $0.00010 | $0.00241 |
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 1mo 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- form-cro — 100% identical, 3 lines differ
- form-cro — 100% identical, 0 lines differ
- form-cro — 100% identical, 0 lines differ
- form-cro — 100% identical, 0 lines differ
- form-cro — 97% identical, 29 lines differ
- form-cro — 95% identical, 8 lines differ
- form-cro — 92% identical, 6 lines differ
- form-cro — 91% identical, 12 lines differ
How it starts
The opening of the file, as written. The whole thing — 426 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
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
1. Every Field Has a Cost
Each field reduces completion rate. Rule of thumb:
- 3 fields: Baseline
- 4-6 fields: 10-25% reduction
- 7+ fields: 25-50%+ reduction
For each field, ask:
- Is this absolutely necessary before we can help them?
- Can we get this information another way?
- Can we ask this later?
2. Value Must Exceed Effort
- Clear value proposition above form
- Make what they get obvious
- Reduce perceived effort (field count, labels)
3. Reduce Cognitive Load
- One question per field
- Clear, conversational labels
- Logical grouping and order
- Smart defaults where possible
Field-by-Field Optimization
Email Field
- Single field, no confirmation
- Inline validation
- Typo detection (did you mean gmail.com?)
- Proper mobile keyboard
Name Fields
- Single "Name" vs. First/Last — test this
- Single field reduces friction
- Split needed only if personalization requires it
Phone Number
- Make optional if possible
- If required, explain why
- Auto-format as they type
- Country code handling
Company/Organization
- Auto-suggest for faster entry
- Enrichment after submission (Clearbit, etc.)
- Consider inferring from email domain
Job Title/Role
- Dropdown if categories matter
- Free text if wide variation
- Consider making optional
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.
- 1mo ago First seen · 426 lines · 97 tokens per session scan A 0d41e83de986
form-cro is a skill published in the GitHub repository davila7/claude-code-templates (32,814 stars, last pushed today), licensed MIT. It adds 97 tokens to every session and 2,405 once invoked, about $0.0004 per session on Opus 5.5. 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
claude-md-review
Audit a CLAUDE.md file for the patterns that actually degrade Claude Code's output — vagueness, unnamed files, stale facts, and bloat. Use when asked to review, audit, improve, shrink, or fix a CLAUDE.md, and when a project's results feel inconsistent or Claude keeps rediscovering the same context.
five-whys
Finds the root cause of a bug, failure or recurring problem by asking "why" until the answer is a cause you can fix. Use when the user asks why something keeps happening, or wants the root cause rather than a quick fix.
tdd
Build this test-first, one behavior at a time: $ARGUMENTS.
storybrand-messaging-framework
Use StoryBrand for "clarify my message", "rewrite my homepage", "create a BrandScript", "what is my one-liner", or "fix my CTA".
business-adventures-analysis-brooks
Use Business Adventures for "why did this fail?", "analyze this crisis", "what pattern applies?", or "what would Brooks notice?".
harness-step3-session-management
A project setup for keeping an agent’s work state in files between separate chat sessions. It creates a task list, a progress summary, and a script for checking the project environment.