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 fernando-bertholdo/4-successful-AI-life --skill crogit clone --depth 1 https://github.com/fernando-bertholdo/4-successful-AI-lifeWrote 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/fernando-bertholdo/4-successful-ai-life/cro)<a href="https://agentmods.dev/skills/fernando-bertholdo/4-successful-ai-life/cro"><img src="https://agentmods.dev/badge/skills/fernando-bertholdo/4-successful-ai-life/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/fernando-bertholdo/4-successful-ai-life/cro"><img src="https://agentmods.dev/badge/skills/fernando-bertholdo/4-successful-ai-life/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 | $0.00119 | $0.04801 |
| Opus 5 | $0.00060 | $0.02400 |
| Sonnet 5 | $0.00024 | $0.00960 |
| Haiku 4.5 | $0.00012 | $0.00480 |
Grade A, and why
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 11d 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 — 297 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CRO Methodology
Scientific, customer-centric approach to conversion rate optimization based on the CRE Methodology(TM). Extraordinary improvements come from understanding WHY visitors don't convert, not from copying competitors or applying generic tips.
Core Principle
Don't guess -- discover. The methodology rejects "best practices" and "magic buttons" in favor of evidence-based optimization. Most websites underperform not because of bad design, but because no one has systematically researched why visitors leave without converting.
The foundation: Every visitor who doesn't convert has a reason. Your job is to discover those reasons through research, then systematically eliminate them with evidence and proof. This customer-centric approach consistently outperforms intuition, competitor copying, and "expert" opinions.
Scoring
Goal: 10/10. When reviewing or creating landing pages, funnels, or conversion flows, rate them 0-10 based on adherence to the principles below. A 10/10 means full alignment with all guidelines; lower scores indicate gaps to address. Always provide the current score and specific improvements needed to reach 10/10.
The CRO Frameworks
1. The CRO Process
Core concept: A systematic 9-step process for optimizing conversion rates, moving from defining success metrics through research, experimentation, and scaling wins across the business.
Why it works: Random optimization efforts fail because they skip the critical research steps. The CRE process forces you to understand visitors before changing anything, ensuring changes are based on evidence rather than opinion.
Key insights:
- Define success metrics aligned with business KPIs before touching any page
- Map the entire conversion funnel to find "blocked arteries" (high-traffic underperforming paths) and "missing links" (absent funnel stages)
- Understand visitors in three dimensions: who they are (types and intentions), what blocks them (UX problems), and what stops them (objections)
- Gather market intelligence from competitors, reviews, and other industries
- Prioritize ideas using ICE scoring (Impact, Confidence, Ease) before testing
- Create bold experimental designs based on research, not "meek tweaks"
- Run experiments with proper statistical rigor (95% confidence minimum, full business cycles)
- Scale wins across landing pages, ad copy, email sequences, and offline materials
What ships with it
6 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.
- 11d ago First seen · 297 lines · 119 tokens per session scan A 4dca5de18f6f
cro is a skill published in the GitHub repository fernando-bertholdo/4-successful-AI-life (2 stars, last pushed yesterday), licensed MIT. It adds 119 tokens to every session and 4,801 once invoked, about $0.0006 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 2026-08-31.
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