pm-privacy-requirements

pm-privacy-requirements is a skill for Claude Code from ljucask/pureinn-product-development. It costs 52 tokens per session (4,768 once invoked), scanned A, original, MIT.

An inventory of personal data in a product, the privacy requirements that apply to it, and a GDPR action plan. GDPR is the European Union's data-protection regulation.

In plain words
What is it for?
Use it after defining the product's data entities to document personal data, plan compliance tasks, and guide features that handle personal information.
Why use it?
It helps teams identify privacy work before development and launch, including consent, data retention, and people's rights over their information.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; mentions subagents; names the AskUserQuestion tool.

Part of the pureinn-product-development plugin — 51 skills, 1 command shipped together

Good fit Use it after defining the product's data entities to document personal data, plan compliance tasks, and guide features that handle personal information.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ljucask/pureinn-product-development/pm-privacy-requirements
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 ljucask/pureinn-product-development --skill pm-privacy-requirements
Clone the repo
git clone --depth 1 https://github.com/ljucask/pureinn-product-development

Made for: Claude Code.

Or install pureinn-product-development, the plugin that ships this one along with the rest of its 51 skills, 1 command.

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 pm-privacy-requirements

README.md
[![agentmods](https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-privacy-requirements/github.svg)](https://agentmods.dev/skills/ljucask/pureinn-product-development/pm-privacy-requirements)
Your own site
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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 pm-privacy-requirements

Your own site · 80×15
<a href="https://agentmods.dev/skills/ljucask/pureinn-product-development/pm-privacy-requirements"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-privacy-requirements.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,768 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 $0.00052 $0.04768
Opus 5 $0.00026 $0.02384
Sonnet 5 $0.00010 $0.00954
Haiku 4.5 $0.00005 $0.00477

Measured 12d ago against content hash 00514c905ca3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

pm-privacy-requirements 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 12d 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.

skills/pm-privacy-requirements/SKILL.md · 474 lines

How it starts

The opening of the file, as written. The whole thing — 474 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PM - Privacy Requirements

Agent mode (--agent)

Supports --agent: runs autonomously in a subagent, drafts the artifact from existing inputs, and returns a short summary + coverage note.

  • No flag → interactive (default); if inputs are heavy, offer agent mode.
  • --agent → obey. First check inputs are complete. Anything missing: do NOT invent it - mark [ASSUMED - what/why] in the output and summary. Never hallucinate to fill a gap.

What this skill does

Maps the domain model to privacy and data protection obligations. Produces:

  1. PII Inventory - which entities contain personal data, what type, and how sensitive
  2. Privacy Requirements - what the system must do to comply (consent, retention, rights)
  3. GDPR Action Plan - concrete actions with owners and timing before launch

This skill runs after pm-domain-model - entities must be defined to inventory PII accurately. Output feeds directly into Phase 6 (pm-feature-design references privacy rules in Feature Card Section 1 for features that handle personal data).

This is a PM-level analysis, not a legal opinion. Validate with legal counsel before launch.


Dependencies

Required before running:

  • pm-domain-model - entities and their attributes are the input for PII mapping

Recommended before running:

  • pm-domain-analysis - legal requirements from Phase 2 provide the regulatory baseline

Produces artifacts used by:

  • pm-business-rules-library - privacy rules become RULE-A and RULE-C entries in business_rules.md
  • pm-feature-design - consent flows, data export, deletion - specified JIT in Feature Card Section 1
  • Phase 6 build - developers need privacy requirements before implementing user-facing features

Step 0: Current state check

Check for existing artifacts:

  • PII Inventory
  • Privacy Requirements
  • GDPR Action Plan

Also check: does a Domain Model exist? Without it, the PII inventory will be incomplete - flag this. Does a Legal & Regulatory Requirements document exist from Phase 2? Cross-reference regulatory scope stated there.

Read the full file on GitHub · 474 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. 12d ago First seen · 474 lines · 52 tokens per session scan A 00514c905ca3

Subscribe to this mod's changes

pm-privacy-requirements is a skill published in the GitHub repository ljucask/pureinn-product-development (2 stars, last pushed 2d ago), licensed MIT. It adds 52 tokens to every session and 4,768 once invoked, about $0.0003 per session on Opus 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.

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