agentmods.dev

cro-optimization

cro-optimization is a skill for Claude Code, Codex from m3taz-ahmed/ai-globals. It costs 42 tokens per session (753 once invoked), scanned A, original, MIT.

A set of guidelines for improving the percentage of visitors who complete a desired action, such as signing up or buying. It uses funnel analysis, session replays, surveys, and controlled experiments.

In plain words
What is it for?
It helps audit funnels, review visitor sessions, write hypotheses, calculate experiment sample sizes, run A/B or multivariate tests, and decide whether to keep the outcome.
Why use it?
It replaces guesswork with a repeatable process for finding where people stop, forming a testable explanation, and checking whether a change genuinely improves results.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 5repo 2d ago A scan 42 tokens original MIT

Good fit It helps audit funnels, review visitor sessions, write hypotheses, calculate experiment sample sizes, run A/B or multivariate tests, and decide whether to keep the outcome.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/m3taz-ahmed/ai-globals/cro-optimization
View source ↗ m3taz-ahmed/ai-globals
Install

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.

Any agent
npx skills add m3taz-ahmed/ai-globals --skill cro-optimization
Clone the repo
git clone --depth 1 https://github.com/m3taz-ahmed/ai-globals

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for cro-optimization

README.md
[![agentmods](https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/cro-optimization/github.svg)](https://agentmods.dev/skills/m3taz-ahmed/ai-globals/cro-optimization)
Your own site
<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/cro-optimization"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/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.

agentmods 80×15 button for cro-optimization

Your own site · 80×15
<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/cro-optimization"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/cro-optimization.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 753 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.00753
Opus 5 $0.00021 $0.00377
Sonnet 5 $0.00008 $0.00151
Haiku 4.5 $0.00004 $0.00075

Measured 10d ago against content hash 4632d8e441f1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

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 10d 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.

skills/cro-optimization/SKILL.md · 44 lines

What it actually says

[SKILL] cro-optimization [OBJ] Increase conversion rates systematically via a repeatable experimentation loop — audit the funnel, watch replays, form hypotheses, run statistically valid experiments, and ship winners. Extends seo-lord traffic into actual revenue.

[RULES]

  1. [REQ] Experiment loop (always in order): (1) Funnel audit → (2) Qualitative replay/survey → (3) Hypothesis doc → (4) Design test → (5) Run to significance → (6) Ship or reject. Never skip to implementation.
  2. [CMD] Context7 IDs: PostHog/posthog (funnels/replay/experiments), growthbook/growthbook (stats engine — CUPED, Bayesian, SRM checks), formbricks/formbricks (surveys), openreplay/openreplay (MIT session replay, strong Arabic docs).
  3. [REQ] Sample size first: compute required n before launch using baseline rate + MDE (min detectable effect ≥5%). Do not call a test until SRM (sample ratio mismatch) check passes and confidence ≥95% (or Bayesian P(win) ≥0.95).
  4. [REQ] Hypothesis format: "Because , we believe will . We'll know via ." One variable per A/B; multivariate only with traffic to support.
  5. [REQ] Free-first stack: PostHog (MIT, self-host, free tier) for funnels+replay, GrowthBook (MIT) for flags/stats, Formbricks (AGPL) for micro-surveys, OpenReplay (MIT) for replay. Hotjar/Optimizely only as paid parity.
  6. [REQ] Funnel instrumentation: define steps (visit→intent→signup→activate→pay). Compute drop-off %. Prioritize the step with highest drop × value. Feed drop-off to marketing-analytics.
  7. [REQ] Landing page rules: one CTA, above-the-fold value prop, social proof block, speed ≤2.5s LCP. Cross-link seo-lord for Core Web Vitals thresholds.
  8. [REQ] RTL/Arabic: mirror the funnel for Arabic locales; Arabic copy tests must run separately (cultural/linguistic confound). Use arabic-freelance tone guidance.
  9. [REQ] Guardrail metrics: watch bounce, scroll depth, support tickets. A winning conversion test that spikes refunds is a loss.
  10. [REQ] Documentation: every test logged (hypothesis, variant, n, result, decision) into memory for meta-analysis.

[PROHIBIT]

  1. No experiment launched without computed sample size.
  2. No result declared before SRM pass + confidence threshold.
  3. No hidden variant manipulation after launch.
  4. No breaking seo-lord CWV thresholds to chase conversion.
Changes

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.

  1. 10d ago First seen · 44 lines · 42 tokens per session scan A 4632d8e441f1

Subscribe to this mod's changes

cro-optimization is a skill published in the GitHub repository m3taz-ahmed/ai-globals (5 stars, last pushed 2d ago), licensed MIT. It adds 42 tokens to every session and 753 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 2026-08-31.

Analytics and metricsMarketing and SEO
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