AEP-MCP_SERVER: Skill for Claude Code

.claude/skills/data-prep/SKILL.md

data-prep is a skill for Claude Code from amghanekar-deloitte/AEP-MCP_SERVER. It costs 0 tokens per session (1,494 once invoked), scanned A, original, no licence file.

A set of patterns for Adobe Experience Platform Data Prep, which transforms incoming source data into Adobe's standard data model. It covers field mappings, expressions, available built-in functions, and mapping previews.

In plain words
What is it for?
Use it to create or inspect XDM field mappings, validate Data Prep expressions, review available functions, or preview source-to-XDM transformations.
Why use it?
It helps check how source fields will be transformed before data is ingested, reducing errors in the mapping configuration.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is amghanekar-deloitte/AEP-MCP_SERVER's own configuration. It tells Claude Code how to work on AEP-MCP_SERVER itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything AEP-MCP_SERVER configures →

Reuse

Borrowing it

Nothing to install: this file belongs to amghanekar-deloitte/AEP-MCP_SERVER. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/amghanekar-deloitte/AEP-MCP_SERVER/main/.claude/skills/data-prep/SKILL.md
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 data-prep

README.md
[![agentmods](https://agentmods.dev/badge/skills/amghanekar-deloitte/aep-mcp_server/data-prep.svg)](https://agentmods.dev/skills/amghanekar-deloitte/aep-mcp_server/data-prep)
Your own site
<a href="https://agentmods.dev/skills/amghanekar-deloitte/aep-mcp_server/data-prep"><img src="https://agentmods.dev/badge/skills/amghanekar-deloitte/aep-mcp_server/data-prep.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,494 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 $0.00000 $0.01494
Opus 5 $0.00000 $0.00747
Sonnet 5 $0.00000 $0.00299
Haiku 4.5 $0.00000 $0.00149

Measured 7d ago against content hash 47f9f858e281, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

data-prep 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 7d 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/data-prep/SKILL.md · 171 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. 7d ago First seen · 171 lines · 0 tokens per session scan A 47f9f858e281

Subscribe to this mod's changes

data-prep is a skill published in the GitHub repository amghanekar-deloitte/AEP-MCP_SERVER (2 stars, last pushed 3d ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 1,494 tokens. 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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