Agent skill

Privacy And Data Protection

by cbrock84 in cbrock84/headcount

Assesses and improves how personal data is collected, used, shared, and retained — data mapping, lawful basis, consent, processor agreements, subject rights, and breach obligations.

MITAuto-check passedLegal & Compliance

Install Privacy And Data Protection

skills CLI
$ npx skills add cbrock84/headcount --skill privacy-and-data-protection -a claude-code

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

GitHub CLI
$ gh skill install cbrock84/headcount privacy-and-data-protection --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/cbrock84/headcount.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/legal-risk/skills/privacy-and-data-protection .claude/skills/privacy-and-data-protection && 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/

Facts

Skill name
privacy-and-data-protection
GitHub stars
2k
Token cost
~901 tokens
SKILL.md length
488 words
Files
2 (incl. references)
Skills in repo
178
Repo updated
First seen
Licence
MIT

At a glance

Assesses and improves how personal data is collected, used, shared, and retained — data mapping, lawful basis, consent, processor agreements, subject rights, and breach obligations.

  • Tasks that involve Privacy and GDPR
  • SKILL.md covers Start from the data map, Design decisions that prevent…, Consent, where it applies and Vendors, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Privacy And Data Protection is an agent skill from cbrock84/headcount. 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.

Its SKILL.md is about 900 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/sources.md`).

It sits in Legal & Compliance, covering Privacy and GDPR. The repository describes itself as: An agent organization structured as a company — 15+ departments, 125+ skills, each independently installable, citing the standards and regulators that settle the question. Runs… The licence is MIT.

When your agent uses it

  • Tasks that involve Privacy and GDPR

Example prompts

  • “Use the privacy-and-data-protection skill to assess and improves how personal data is collected, used, shared, and retained — data mapping, lawful…”
  • “/privacy-and-data-protection”

What it can do on your machine

Read from SKILL.md and the folder at commit 98d1c17. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Privacy And Data Protection loads about 901 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 113 tokens; SKILL.md has 488 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~113
When it runs · the whole SKILL.md, loaded when a task matches
~901
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.3k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from cbrock84/headcount at commit 98d1c17, republished under its MIT licence (© cbrock84). 488 words, ~901 tokens.

Download SKILL.mdSave it as .claude/skills/privacy-and-data-protection/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
privacy-and-data-protection
description
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.

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.

Show full SKILL.md (167 more words)Show less

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.

Sources

references/sources.md in this skill lists the outside authorities that settle the questions here — what each one is authoritative for, and what you may do with it. Check them before answering on anything they cover, and cite what you used. Most are free to read and not free to reproduce; the use note on each is binding.

Never

  • Collect data because it may be useful later. Purpose first, then collection.
  • Retain personal data past the period you published.
  • Send personal data to a vendor before the contract terms and the transfer basis are in place.
  • Load production personal data into a test environment.

© cbrock84, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in plugins/legal-risk/skills/privacy-and-data-protection of cbrock84/headcount.

  • SKILL.md
  • references/sources.md

Open the folder on GitHubat commit 98d1c17

Compare with similar skills

Privacy And Data Protection 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.

Privacy And Data Protection compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Privacy And Data Protection this skillcbrock84/headcount2k—~901Automated safety check: PassMIT
C15tc15t/c15t1.9k1 repos~1.6kAutomated safety check: PassApache-2.0
HIPAA Safe Harbor Coverage Auditmaziyarpanahi/openmed5.5k—~1.7kAutomated safety check: PassApache-2.0
Korean Privacy Termskimlawtech/korean-privacy-terms587—~2.9kAutomated safety check: PassApache-2.0
Gdpr ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance9461 repos~3.9kAutomated safety check: PassMIT
Hipaa ComplianceSushegaad/Claude-Skills-Governance-Risk-and-Compliance9461 repos~2.3kAutomated safety check: PassMIT

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Questions about Privacy And Data Protection

What does Privacy And Data Protection do?

Assesses and improves how personal data is collected, used, shared, and retained — data mapping, lawful basis, consent, processor agreements, subject rights, and breach obligations. Privacy And Data Protection is an agent skill from cbrock84/headcount. Assesses and improves how personal data is collected, used, shared, and retained — data mapping, lawful basis, consent, processor agreements, subject rights, and breach obligations.

When should I use Privacy And Data Protection?

Privacy And Data Protection fits situations like: tasks that involve Privacy and GDPR.

How do I install Privacy And Data Protection in Claude Code?

Run `npx skills add cbrock84/headcount --skill privacy-and-data-protection -a claude-code`. Or copy the skill folder (plugins/legal-risk/skills/privacy-and-data-protection in cbrock84/headcount) into .claude/skills/privacy-and-data-protection in your project. Claude Code loads it when a task matches its description.

How do I install Privacy And Data Protection in Codex?

Run `npx skills add cbrock84/headcount --skill privacy-and-data-protection -a codex`. Or copy the skill folder (plugins/legal-risk/skills/privacy-and-data-protection in cbrock84/headcount) into .agents/skills/privacy-and-data-protection in your project. Codex loads it when a task matches its description.

Can I use Privacy And Data Protection 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 cbrock84/headcount --skill privacy-and-data-protection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/privacy-and-data-protection, .gemini/skills/privacy-and-data-protection, .github/skills/privacy-and-data-protection and .opencode/skills/privacy-and-data-protection in your project.

What does Privacy And Data Protection need to run?

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

Does Privacy And Data Protection 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 Privacy And Data Protection 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. Review the folder before installing.

What licence does Privacy And Data Protection use?

Privacy And Data Protection 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 Privacy And Data Protection use?

About 901 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 428 tokens, read only when the agent opens those files.

What are the alternatives to Privacy And Data Protection?

Skills that share tags, products or a category with Privacy And Data Protection: C15t (c15t/c15t, 1.9k stars), HIPAA Safe Harbor Coverage Audit (maziyarpanahi/openmed, 5.5k stars), Korean Privacy Terms (kimlawtech/korean-privacy-terms, 587 stars) and Gdpr Compliance (Sushegaad/Claude-Skills-Governance-Risk-and-Compliance, 946 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Privacy And Data Protection?

cbrock84 (a GitHub user) maintains it in cbrock84/headcount, which has 2,022 GitHub stars. The repository holds 178 skills in this directory. The repository was last updated on September 17, 2026.

Source: cbrock84/headcount on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.