Agent skill

Test Data Management

by proffesor-for-testing in proffesor-for-testing/agentic-qe

Strategic test data generation, management, and privacy compliance.

MITAuto-check passedTesting & QA

Install Test Data Management

skills CLI

$ npx skills add proffesor-for-testing/agentic-qe --skill test-data-management -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install proffesor-for-testing/agentic-qe test-data-management --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .claude/skills && cp -r skills-src/assets/skills/test-data-management .claude/skills/test-data-management && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "test-data-management" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/test-data-management into .claude/skills/test-data-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "test-data-management", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/test-data-management

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add proffesor-for-testing/agentic-qe --skill test-data-management -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install proffesor-for-testing/agentic-qe test-data-management --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .agents/skills && cp -r skills-src/assets/skills/test-data-management .agents/skills/test-data-management && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "test-data-management" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/test-data-management into .agents/skills/test-data-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "test-data-management", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add proffesor-for-testing/agentic-qe --skill test-data-management -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install proffesor-for-testing/agentic-qe test-data-management --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/assets/skills/test-data-management .cursor/skills/test-data-management && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "test-data-management" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/test-data-management into .cursor/skills/test-data-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "test-data-management", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/proffesor-for-testing/agentic-qe.git --path assets/skills/test-data-management

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add proffesor-for-testing/agentic-qe --skill test-data-management -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install proffesor-for-testing/agentic-qe test-data-management --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/assets/skills/test-data-management .gemini/skills/test-data-management && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "test-data-management" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/test-data-management into .gemini/skills/test-data-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "test-data-management", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install proffesor-for-testing/agentic-qe test-data-management

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add proffesor-for-testing/agentic-qe --skill test-data-management -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .github/skills && cp -r skills-src/assets/skills/test-data-management .github/skills/test-data-management && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "test-data-management" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/test-data-management into .github/skills/test-data-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "test-data-management", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add proffesor-for-testing/agentic-qe --skill test-data-management -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install proffesor-for-testing/agentic-qe test-data-management --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/assets/skills/test-data-management .opencode/skills/test-data-management && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "test-data-management" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/test-data-management into .opencode/skills/test-data-management/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "test-data-management", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: test-data-management
GitHub stars: 494
Token cost: ~1.2k tokens
SKILL.md length: 199 words
Files: 4 (incl. scripts)
Skills in repo: 111
Repo updated: Oct 4, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Strategic test data generation, management, and privacy compliance.

Works in 5 steps: NEVER use production PII directly → GENERATE synthetic data with faker… → ANONYMIZE production data if used (mask,… → …
Creating test data
SKILL.md covers Quick Reference Card, Data Anonymization, Database Transaction Isolation and Agent-Driven Data Generation, plus 3 more sections
Ensuring GDPR/CCPA compliance

What it does

Test Data Management is an agent skill from proffesor-for-testing/agentic-qe. Strategic test data generation, management, and privacy compliance. Use when creating test data, handling PII, ensuring GDPR/CCPA compliance, or scaling data generation for realistic testing scenarios.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `evals/test-data-management.yaml`, `schemas/output.json` and `scripts/validate-config.json`).

It sits in Testing & QA, covering Privacy and GDPR and Test data and fixtures. The repository describes itself as: Agentic QE Fleet is an open-source AI-powered QA/QE platform designed for use with Coding Agents (works best with Claude Code) featuring specialized agents and skills to support… The licence is MIT.

When your agent uses it

Creating test data
Ensuring GDPR/CCPA compliance
Scaling data generation for realistic testing scenarios

Example prompts

“/test-data-management”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

NEVER use production PII directly
GENERATE synthetic data with faker libraries
ANONYMIZE production data if used (mask, hash)
ISOLATE test data (transactions, per-test cleanup)
SCALE with batch generation (10k+ records/sec)

What it can do on your machine

Read from SKILL.md and the folder at commit 829d030. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/, which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Test Data Management loads about 1.2k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 199 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~56
When it runs · the whole SKILL.md, loaded when a task matches: ~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from proffesor-for-testing/agentic-qe at commit 829d030, republished under its MIT licence (© proffesor-for-testing). 199 words, ~1,173 tokens.

Download SKILL.mdSave it as .claude/skills/test-data-management/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: test-data-management
description: Strategic test data generation, management, and privacy compliance. Use when creating test data, handling PII, ensuring GDPR/CCPA compliance, or scaling data generation for realistic testing scenarios.
category: specialized-testing
priority: high
tokenEstimate: 1000
agents: qe-test-data-architect, qe-test-executor, qe-security-scanner
implementation_status: optimized
optimization_version: 1
last_optimized: 2025-12-02
quick_reference_card: true
tags: test-data, faker, synthetic, gdpr, pii, anonymization, factories
trust_tier: 3

Test Data Management

<default_to_action> When creating or managing test data:

NEVER use production PII directly
GENERATE synthetic data with faker libraries
ANONYMIZE production data if used (mask, hash)
ISOLATE test data (transactions, per-test cleanup)
SCALE with batch generation (10k+ records/sec)

Quick Data Strategy:

Unit tests: Minimal data (just enough)
Integration: Realistic data (full complexity)
Performance: Volume data (10k+ records)

Critical Success Factors:

40% of test failures from inadequate data
GDPR fines up to €20M for PII violations
Never store production PII in test environments </default_to_action>

Quick Reference Card

When to Use

Creating test datasets
Handling sensitive data
Performance testing with volume
GDPR/CCPA compliance

Data Strategies

Type	When	Size
Minimal	Unit tests	1-10 records
Realistic	Integration	100-1000 records
Volume	Performance	10k+ records
Edge cases	Boundary testing	Targeted

Data Anonymization

javascript

// Masking
function maskEmail(email) {
  const [user, domain] = email.split('@');
  return `${user[0]}***@${domain}`;
}
// john@example.com → j***@example.com

function maskCreditCard(cc) {
  return `****-****-****-${cc.slice(-4)}`;
}
// 4242424242424242 → ****-****-****-4242

// Anonymize production data
const anonymizedUsers = prodUsers.map(user => ({
  id: user.id, // Keep ID for relationships
  email: `user-${user.id}@example.com`, // Fake email
  firstName: faker.person.firstName(), // Generated
  phone: null, // Remove PII
  createdAt: user.createdAt // Keep non-PII
}));

Database Transaction Isolation

javascript

// Best practice: use transactions for cleanup
beforeEach(async () => {
  await db.beginTransaction();
});

afterEach(async () => {
  await db.rollbackTransaction(); // Auto cleanup!
});

test('user registration', async () => {
  const user = await userService.register({
    email: 'test@example.com'
  });
  expect(user.id).toBeDefined();
  // Automatic rollback after test - no cleanup needed
});

Agent-Driven Data Generation

typescript

// High-speed generation with constraints
await Task("Generate Test Data", {
  schema: 'ecommerce',
  count: { users: 10000, products: 500, orders: 5000 },
  preserveReferentialIntegrity: true,
  constraints: {
    age: { min: 18, max: 90 },
    roles: ['customer', 'admin']
  }
}, "qe-test-data-architect");

// GDPR-compliant anonymization
await Task("Anonymize Production Data", {
  source: 'production-snapshot',
  piiFields: ['email', 'phone', 'ssn'],
  method: 'pseudonymization',
  retainStructure: true
}, "qe-test-data-architect");

Agent Coordination Hints

Memory Namespace

aqe/test-data-management/
├── schemas/*            - Data schemas
├── generators/*         - Generator configs
├── anonymization/*      - PII handling rules
└── fixtures/*           - Reusable fixtures

Fleet Coordination

typescript

const dataFleet = await FleetManager.coordinate({
  strategy: 'test-data-generation',
  agents: [
    'qe-test-data-architect',  // Generate data
    'qe-test-executor',        // Execute with data
    'qe-security-scanner'      // Validate no PII exposure
  ],
  topology: 'sequential'
});

database-testing - Schema and integrity testing
compliance-testing - GDPR/CCPA compliance
performance-testing - Volume data for perf tests

Remember

Never use production PII directly. Always use synthetic data or properly anonymized production snapshots.

With Agents: qe-test-data-architect generates 10k+ records/sec with realistic patterns, relationships, and constraints. Agents ensure GDPR/CCPA compliance automatically and eliminate test data bottlenecks.

Files

SKILL.md and 3 other files (scripts) in assets/skills/test-data-management of proffesor-for-testing/agentic-qe.

SKILL.md
evals/test-data-management.yaml
schemas/output.json
scripts/validate-config.json

Open the folder on GitHubat commit 829d030

Compare with similar skills

Test Data Management next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Test Data Management compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Test Data Management this skillproffesor-for-testing/agentic-qe	494	—	~1.2k	Automated safety check: Pass	MIT	3 days ago
Platform Dsar Policy Manageforcedotcom/sf-skills	1.1k	—	~5.2k	Automated safety check: Pass	Apache-2.0	4 days ago
Privacy Data Sharingmukul975/Privacy-Data-Protection-Skills	295	—	~3.4k	Automated safety check: Pass	Apache-2.0	6 mo ago
Fs Fixtureprivatenumber/fs-fixture	100	—	~1.2k	Automated safety check: Pass	MIT	1 mo ago
Dev Tenant APInightscout/nocturne	139	—	~1.4k	Automated safety check: Pass	None	2 days ago
Rsibench Data Factoryevolvent-ai/RSIBench-Data	168	—	~640	Automated safety check: Notes	None	1 mo ago

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Questions about Test Data Management

What does Test Data Management do?

Strategic test data generation, management, and privacy compliance. Test Data Management is an agent skill from proffesor-for-testing/agentic-qe. Strategic test data generation, management, and privacy compliance.

When should I use Test Data Management?

Test Data Management fits situations like: creating test data; ensuring GDPR/CCPA compliance; scaling data generation for realistic testing scenarios.

How do I install Test Data Management in Claude Code?

Run `npx skills add proffesor-for-testing/agentic-qe --skill test-data-management -a claude-code`. Or copy the skill folder (assets/skills/test-data-management in proffesor-for-testing/agentic-qe) into .claude/skills/test-data-management in your project. Claude Code loads it when a task matches its description.

How do I install Test Data Management in Codex?

Run `npx skills add proffesor-for-testing/agentic-qe --skill test-data-management -a codex`. Or copy the skill folder (assets/skills/test-data-management in proffesor-for-testing/agentic-qe) into .agents/skills/test-data-management in your project. Codex loads it when a task matches its description.

Can I use Test Data Management in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add proffesor-for-testing/agentic-qe --skill test-data-management -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/test-data-management, .gemini/skills/test-data-management, .github/skills/test-data-management and .opencode/skills/test-data-management in your project.

What does Test Data Management need to run?

SKILL.md names no scripts, command-line tools or credentials: Test Data Management is instructions for the agent only.

Does Test Data Management access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Test Data Management safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Test Data Management use?

Test Data Management is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Test Data Management use?

About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Test Data Management?

Skills that share tags, products or a category with Test Data Management: Platform Dsar Policy Manage (forcedotcom/sf-skills, 1.1k stars), Privacy Data Sharing (mukul975/Privacy-Data-Protection-Skills, 295 stars), Fs Fixture (privatenumber/fs-fixture, 100 stars) and Dev Tenant API (nightscout/nocturne, 139 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Test Data Management?

proffesor-for-testing (a GitHub user) maintains it in proffesor-for-testing/agentic-qe, which has 494 GitHub stars. The repository holds 111 skills in this directory. The repository was last updated on October 4, 2026.

Source: proffesor-for-testing/agentic-qe on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Test Data Management

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Test Data Management

Quick Reference Card

When to Use

Data Strategies

Data Anonymization

Database Transaction Isolation

Agent-Driven Data Generation

Agent Coordination Hints

Memory Namespace

Fleet Coordination

Related Skills

Remember

Files

Compare with similar skills

Similar skills

More from proffesor-for-testing/agentic-qe

Related

Questions about Test Data Management