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 rampstackco/claude-skills --skill cro-optimizationgit clone --depth 1 https://github.com/rampstackco/claude-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/rampstackco/claude-skills/cro-optimization)<a href="https://agentmods.dev/skills/rampstackco/claude-skills/cro-optimization"><img src="https://agentmods.dev/badge/skills/rampstackco/claude-skills/cro-optimization/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/rampstackco/claude-skills/cro-optimization"><img src="https://agentmods.dev/badge/skills/rampstackco/claude-skills/cro-optimization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00123 | $0.02411 |
| Opus 5.5 | $0.00049 | $0.00964 |
| Sonnet 5.5 | $0.00025 | $0.00482 |
| Haiku 4.5 | $0.00012 | $0.00241 |
Grade A, and why
cro-optimization 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
1 near-identical copy found in the catalogue:
- cro-optimization — 91% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CRO Optimization
Run conversion rate optimization as a structured discipline: audit → hypothesize → test → decide. Stack-agnostic. Tool-agnostic.
This skill is for running tests against existing pages and flows. For writing landing page copy from scratch, use landing-page-copy. For setting up the analytics that make CRO possible, use analytics-strategy.
When to use
- Converting traffic at lower rate than expected
- Specific funnel step has high drop-off
- Pages with high traffic that could move the needle if optimized
- A/B testing infrastructure exists (or can be set up)
- Statistical significance and sample size questions
When NOT to use
- Without sufficient traffic to test (under ~5,000 monthly conversions per variant)
- Pre-launch (no users to test on yet)
- Strategy or messaging-level questions that need qualitative research first
- Brand-defining choices (CRO can't optimize a fundamentally wrong brand)
Required inputs
- The page or flow under optimization
- Current conversion rate and traffic volume
- Access to analytics (event tracking, funnel data)
- An A/B testing tool (or willingness to set one up)
- Time and budget for testing (typically 2 to 8 weeks per test)
The framework: 4 phases
1. Audit
Diagnose before treating.
Quantitative audit:
- Funnel data. Where are users dropping off? The biggest drop is the biggest opportunity.
- Segmentation. Does the funnel perform differently by source, device, geography, audience type?
- Performance data. Are slow pages dragging conversions?
- Search Console / on-site search. What are users looking for that they can't find?
Qualitative audit:
- Session replay. Watch 20+ sessions of users on the target flow. Note friction, confusion, hesitation.
- Heatmaps. Where do users click? Where do they scroll? Where do they not?
- User interviews / surveys. Why did users not convert? Survey people who started but abandoned.
- Form analytics. Which fields cause abandonment? Which cause errors?
- Customer support tickets. What conversion-related questions come in?
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.
- 1mo ago First seen · 278 lines · 123 tokens per session scan A 477496915d2c
cro-optimization is a skill published in the GitHub repository rampstackco/claude-skills (976 stars, last pushed yesterday), licensed MIT. It adds 123 tokens to every session and 2,411 once invoked, about $0.0005 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 2026-08-30.
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