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eng-handle-customer-data

The rules for touching customer records, and how to work without touching them.

Skill by aws-samplesOfficial

IndexedApache-2.0★ 3
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/aws-samples-eng-handle-customer-data

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

The rules for touching customer records, and how to work without touching them. Use when a task involves personal data, when the user asks "can I use this data", or before any extract leaves a system.

Use cases: data, productivity

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/eng-handle-customer-data

What's inside

Skill name
eng-handle-customer-data
Description
The rules for touching customer records, and how to work without touching them. Use when a task involves personal data, when the user asks "can I use this data", or before any extract leaves a system.
License
Apache-2.0
Metadata
category: policy · constraints: data-handling
Instructions
36 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

> Generated file — do not edit.
> Persona: engineer (Software engineer)
> Pack:    engineer-pack v0.2.0
> Source:  skill `handle-customer-data` @ 3d7e0fd
> Edit the source skill, not this copy — this one is overwritten on every build.

# Handling customer data

## Boundaries that apply to this skill

**Use the least-sensitive environment that can reproduce the issue.** Start with synthetic fixtures
or approved non-production data. Do not copy customer records, production database rows, or
unredacted logs into source control, tickets, prompts, or local test data.


## The line

Personal data stays in the system that holds it. Aggregate it, count it, join it — but an extract
containing identifiable records leaving that system needs a named owner who approved it, recorded
before the extract is made rather than after.

## Working without it

Most questions that seem to need identifiable records do not:

- **Counting** — aggregate in the query, extract only the aggregate.
- **Sampling for a demo** — generate synthetic records that share the shape and the edge cases. A
  synthetic set you designed is usually a *better* demo, because you control the edge cases.
- **Debugging a specific record** — work in the system, quote the field that matters, not the row.

## What to do when asked to cross it

Reproduce the behavior with synthetic fixtures or approved non-production data. Redact logs at the
source and keep customer rows out of source control, tickets, prompts, and local test databases.

From aws-samples/sample-skillforge, Apache-2.0.

More from aws-samples/sample-skillforge

Signals

Stars
3
Forks
1
Open issues
0
Last commit (this folder)
Sep 11, 2026 (1 month ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from aws-samples

Cite this page

eng-handle-customer-data skill. Agent Mart. https://agentmart.dev/skills/aws-samples-eng-handle-customer-data (last updated 2026-10-24)