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Privacy And Data Protection Agent Skill

Assesses and improves how personal data is collected, used, shared, and retained — data mapping, lawful basis, consent, processor agreements, subject rights, and breach obligations. Use this before launching anything that handles personal data, when adding a vendor that will process it, when a data subject request arrives, when assessing exposure under GDPR or US state privacy laws, or when preparing for a privacy review.

745 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
220
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/cbrock84/headcount --skill privacy-and-data-protection

The instruction itself

6 sections, as written by the author

Privacy and data protection

> Not legal advice. Regimes differ by jurisdiction and change; material questions need qualified

> counsel. This structures the assessment and identifies what to escalate.

Start from the data map

You cannot assess what you have not inventoried. For each category of personal data:

  • What is collected, from whom, and where it came from.
  • Why — the specific purpose, and the lawful basis where one is required.
  • Where it lives, who can reach it, and which vendors receive it.
  • How long it is kept, and what deletes it. "Indefinitely" is a finding, not an answer.
  • Whether it crosses a border, and under what mechanism.

Most privacy failures are inventory failures: data nobody remembered was being collected, in a

system nobody owned.

Design decisions that prevent problems

  • Collect less. Every field is a liability with a maintenance cost. The cheapest way to protect

data is not to hold it.

  • Purpose limitation is real. Data collected for one purpose is not automatically available for

another — particularly for training models, which is where this most often goes wrong now.

  • Separate identifiers from behavior where analysis does not require linkage.
  • Retention with an enforcing mechanism. A policy with no deletion job is a statement of intent.

Specific, informed, freely given, and as easy to withdraw as to give. Pre-ticked boxes, bundled

consent, and cookie walls that offer no genuine choice fail on their face in the regimes that

require consent.

Note that consent is one lawful basis among several and often the weakest — it can be withdrawn,

and then the processing must stop.

Vendors

Any third party processing personal data on your behalf needs a written agreement covering purpose,

security, sub-processors, deletion, and assistance with subject rights. Sending data to a vendor

without one is a common and easily avoided violation.

Assess the vendor's actual security, not their questionnaire answers, in proportion to the

sensitivity of what they will hold.

Subject rights and breaches

Have a working process before the first request: how it arrives, how identity is verified, how the

data is located across systems, and the deadline. Locating the data is the part that fails.

For breaches, know your notification clock before you need it — several regimes measure it in hours

from awareness. Decide in advance who determines that awareness has occurred.

How to use it

Copy the folder

Take cbrock84/privacy-and-data-protection from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.