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journey-analyze-fallout

journey-analyze-fallout is a skill for Claude Code from amghanekar-deloitte/AEP-MCP_SERVER. It costs 108 tokens per session (1,056 once invoked), scanned A, original, no licence file.

A drop-off analysis guide for Adobe Journey Optimizer journeys. It compares how many profiles enter and leave each step, then identifies the branches or waiting steps where the most profiles are lost.

In plain words
What is it for?
Use it to measure fallout at each journey node, find the largest drop-off, and investigate low completion.
Why use it?
It shows where a customer journey stops progressing instead of only showing its final completion rate. This helps narrow down which step needs investigation.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

not rated 2repo 1mo ago A scan 108 tokens no licence

Good fit Use it to measure fallout at each journey node, find the largest drop-off, and investigate low completion.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/amghanekar-deloitte/aep-mcp_server/journey-analyze-fallout
View source ↗ amghanekar-deloitte/AEP-MCP_SERVER
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 amghanekar-deloitte/AEP-MCP_SERVER --skill journey-analyze-fallout
Clone the repo
git clone --depth 1 https://github.com/amghanekar-deloitte/AEP-MCP_SERVER

Made for: Claude Code.

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 journey-analyze-fallout

README.md
[![agentmods](https://agentmods.dev/badge/skills/amghanekar-deloitte/aep-mcp_server/journey-analyze-fallout/github.svg)](https://agentmods.dev/skills/amghanekar-deloitte/aep-mcp_server/journey-analyze-fallout)
Your own site
<a href="https://agentmods.dev/skills/amghanekar-deloitte/aep-mcp_server/journey-analyze-fallout"><img src="https://agentmods.dev/badge/skills/amghanekar-deloitte/aep-mcp_server/journey-analyze-fallout/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 journey-analyze-fallout

Your own site · 80×15
<a href="https://agentmods.dev/skills/amghanekar-deloitte/aep-mcp_server/journey-analyze-fallout"><img src="https://agentmods.dev/badge/skills/amghanekar-deloitte/aep-mcp_server/journey-analyze-fallout.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 108 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,056 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 unknown 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 $0.00108 $0.01056
Opus 5.5 $0.00043 $0.00422
Sonnet 5.5 $0.00022 $0.00211
Haiku 4.5 $0.00011 $0.00106

Measured 1mo ago against content hash a722cfefbc28, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

journey-analyze-fallout 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.

.claude/skills/journey-analyze-fallout/SKILL.md · 122 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 1mo ago First seen · 122 lines · 108 tokens per session scan A a722cfefbc28

Subscribe to this mod's changes

journey-analyze-fallout is a skill published in the GitHub repository amghanekar-deloitte/AEP-MCP_SERVER (2 stars, last pushed 1mo ago), with no licence file. It adds 108 tokens to every session and 1,056 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 2026-09-11.

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journey-analyze-fallout compared with skills from other repositories

journey-analyze-fallout next to 6 skills from other repositories
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