aes-cart-abandonment-analyzer

aes-cart-abandonment-analyzer is a skill for Claude Code, Codex from LeoYeAI/openclaw-master-skills. It costs 27 tokens per session (923 once invoked), scanned A, original, MIT.

An analysis and planning guide for recovering shopping carts that customers leave without buying, using email, text messages, and push notifications.

In plain words
What is it for?
Use it to diagnose cart abandonment, plan timed recovery campaigns, and prepare handoff instructions for tools such as Klaviyo or Omnisend.
Why use it?
It helps identify why shoppers abandon purchases and organize follow-up messages to bring them back.

Skill for Claude CodeCodex

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

Good fit Use it to diagnose cart abandonment, plan timed recovery campaigns, and prepare handoff instructions for tools such as Klaviyo or Omnisend.

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Install with agentmods
npx agentmods add skills/leoyeai/openclaw-master-skills/aes-cart-abandonment-analyzer
About the project

OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.

LeoYeAI/openclaw-master-skills · 2,141 stars · on GitHub · myclaw.ai

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 LeoYeAI/openclaw-master-skills --skill aes-cart-abandonment-analyzer
Clone the repo
git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills

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 aes-cart-abandonment-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/aes-cart-abandonment-analyzer/github.svg)](https://agentmods.dev/skills/leoyeai/openclaw-master-skills/aes-cart-abandonment-analyzer)
Your own site
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/aes-cart-abandonment-analyzer"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/aes-cart-abandonment-analyzer/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 aes-cart-abandonment-analyzer

Your own site · 80×15
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/aes-cart-abandonment-analyzer"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/aes-cart-abandonment-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 923 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00027 $0.00923
Opus 5 $0.00014 $0.00462
Sonnet 5 $0.00005 $0.00185
Haiku 4.5 $0.00003 $0.00092

Measured 9d ago against content hash 056e2f322048, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

aes-cart-abandonment-analyzer 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 9d 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/aes-cart-abandonment-analyzer/SKILL.md · 44 lines

How it starts

The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Cart Abandonment Analyzer

Cart abandonment is one of the most expensive leaks in any ecommerce funnel — average abandonment rates hover around 70%, meaning seven out of ten shoppers who add items to their cart leave without purchasing. This skill diagnoses the likely causes of cart abandonment for your specific store and product mix, then builds tailored multi-touch recovery sequences across email, SMS, and push notification channels to win back lost revenue systematically.

Use when

  • Your Shopify, WooCommerce, or BigCommerce store shows a cart abandonment rate above 65% and you need to identify the root causes beyond just "they weren't ready to buy"
  • You want to design a complete abandoned cart recovery flow with timed email sequences, SMS follow-ups, and push notifications but are unsure about optimal timing, copy angles, or incentive escalation
  • Your existing cart recovery emails have an open rate below 40% or a click-through rate below 5% and you want fresh copy, subject lines, and send-time strategies to improve performance
  • A marketing manager needs a documented cart recovery playbook they can hand off to the email marketing team or load into Klaviyo, Omnisend, or Mailchimp automation workflows

What this skill does

This skill takes your store details, product category, average order value, and current abandonment data to perform a structured root-cause analysis of why shoppers are leaving. It examines pricing friction, shipping cost surprises, checkout complexity, trust gaps, payment method limitations, and mobile experience issues. Based on the diagnosis, it generates a complete multi-channel recovery sequence with specific message copy for each touchpoint, recommended send timing relative to the abandonment event, subject lines and preview text for emails, SMS message templates within character limits, and push notification copy. The sequence includes an incentive escalation ladder that starts with reminders and progressively introduces discounts or free shipping offers.

Read the full file on GitHub · 44 lines

Files

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.

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. 9d ago First seen · 44 lines · 27 tokens per session scan A 056e2f322048

Subscribe to this mod's changes

aes-cart-abandonment-analyzer is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 923 once invoked, about $0.0001 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.

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