pii-and-test-data

pii-and-test-data is a skill for Claude Code from catpilotai/catpilot-ai-guardrails. It costs 97 tokens per session (4,678 once invoked), scanned A, original, MIT.

A development rule set for keeping real customer information out of test fixtures, comments, documentation, logs, screenshots, and shared transcripts. It calls for generated sample data, reserved test values, and redaction of sensitive details.

In plain words
What is it for?
Reviewing test data and development artifacts, replacing real records with synthetic examples, protecting sensitive output, and preventing accidental exposure of customer information.
Why use it?
It reduces the risk of copying personal, health, or payment information into repositories, test systems, logs, or public materials that lack production-level controls.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Codex; built for openclaw.

Part of the catpilot-guardrails plugin — 25 skills shipped together

Good fit Reviewing test data and development artifacts, replacing real records with synthetic examples, protecting sensitive output, and preventing accidental exposure of customer information.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/catpilotai/catpilot-ai-guardrails/pii-and-test-data
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 catpilotai/catpilot-ai-guardrails --skill pii-and-test-data
Clone the repo
git clone --depth 1 https://github.com/catpilotai/catpilot-ai-guardrails

Made for: Claude Code.

Or install catpilot-guardrails, the plugin that ships this one along with the rest of its 25 skills.

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 pii-and-test-data

README.md
[![agentmods](https://agentmods.dev/badge/skills/catpilotai/catpilot-ai-guardrails/pii-and-test-data/github.svg)](https://agentmods.dev/skills/catpilotai/catpilot-ai-guardrails/pii-and-test-data)
Your own site
<a href="https://agentmods.dev/skills/catpilotai/catpilot-ai-guardrails/pii-and-test-data"><img src="https://agentmods.dev/badge/skills/catpilotai/catpilot-ai-guardrails/pii-and-test-data/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 pii-and-test-data

Your own site · 80×15
<a href="https://agentmods.dev/skills/catpilotai/catpilot-ai-guardrails/pii-and-test-data"><img src="https://agentmods.dev/badge/skills/catpilotai/catpilot-ai-guardrails/pii-and-test-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,678 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 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 $0.00097 $0.04678
Opus 5.5 $0.00039 $0.01871
Sonnet 5.5 $0.00019 $0.00936
Haiku 4.5 $0.00010 $0.00468

Measured 1mo ago against content hash 0050f014d7f9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pii-and-test-data 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.

src/skills/core/pii-and-test-data/SKILL.md · 493 lines

How it starts

The opening of the file, as written. The whole thing — 493 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Baseline

Applies when: Writing test fixtures, seed data, illustrative doc/comment records, error messages, logs, telemetry, screenshots or recordings shared outside the org, migrations/ETL between environments, or LLM prompts, fine-tuning sets, and RAG corpora.

Always:

  • Use reserved test ranges for identifiers that have one (*@example.com, the 555-01xx phone block, RFC 5737 IPs, provider test card numbers, SSA-reserved SSN ranges) instead of a real-looking value.
  • Generate names, addresses, and other free-form identifiers with a seeded synthetic generator (faker, @faker-js/faker, etc.), not free-form invention.
  • Refuse to copy production rows into development, staging, demo, or test environments, including "just one row" or hash-based "anonymization."
  • Keep emails, phone numbers, full names, addresses, government IDs, DOB, and payment/bank numbers out of logs, errors, and telemetry; identify by internal ID instead.
  • Use synthetic test accounts for anything leaving the organization (demos, screenshots, recordings, shared transcripts).
  • Screen data going into an LLM prompt, fine-tuning set, or RAG corpus with a PII/PHI/PCI scrubber before ingestion.

Never:

  • A real, or real-looking, email, phone number, SSN, or card number in a fixture, comment, or doc example.
  • Copying production rows into a lower environment, including a single row "to reproduce a bug."
  • Hashing names or emails and calling it anonymization.
  • Logging or erroring with a user's email, phone, full name, address, government ID, or payment/bank number.
  • Recording or screenshotting the production app against a real customer account.

Open the full component before acting: it has the examples, the remediation steps, and the detection patterns.

Why

Production data carries legal, contractual, and operational obligations that test environments are not designed to honor. Every time a real customer record appears in a fixture file, a comment, a screenshot, a chat transcript, or a debug log, the organization picks up the same obligations for that copy as for the original — without the controls that protect the original.

Read the full file on GitHub · 493 lines

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 Changed · +21 lines 0050f014d7f9
  2. 2mo ago First seen · 472 lines · 97 tokens per session scan A fb0e8397b62a

Subscribe to this mod's changes

pii-and-test-data is a skill published in the GitHub repository catpilotai/catpilot-ai-guardrails (2 stars, last pushed 8d ago), licensed MIT. It adds 97 tokens to every session and 4,678 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 2026-08-31.

Related

pii-and-test-data compared with skills from other repositories

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