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Gdpr Data Handling

Checked
wshobson·vlatest·security·MIT

Automates GDPR compliance tasks like data subject access requests, erasure, and rectification based on defined policies.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add wshobson/agents --skill gdpr-data-handling -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

wshobson

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned wshobson/agents at 46891e7e60.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
46891e7e60
Manifest
plugins/hr-legal-compliance/skills/gdpr-data-handling/SKILL.md
Scanned
2 files, 613 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The GDPR Data Handling skill enables AI agents to identify, classify, and manage personal data in compliance with the General Data Protection Regulation (GDPR). It supports tasks such as detecting sensitive information, generating data processing impact assessments, and creating privacy notices tailored to specific jurisdictions.

When to use it

  • When preparing a dataset for analysis and ensuring GDPR compliance.
  • When drafting legal documents or policies related to data protection.
  • When responding to data subject access requests (DSARs) by automating the retrieval of personal information.
  • When conducting audits to ensure that data handling practices align with GDPR requirements.

Key capabilities

  • Detection of personally identifiable information (PII) in text and datasets.
  • Generation of privacy impact assessments for new projects or processes.
  • Creation of GDPR-compliant consent forms and data processing agreements.
  • Automation of data subject access request responses by locating and redacting personal data.

Example prompts

  • "Identify all PII in this customer database and flag it for anonymization."
  • "Generate a privacy impact assessment for our new mobile app."
  • "Draft a GDPR-compliant consent form for user data collection on our website."

Tips & gotchas

  • Ensure that the AI agent has access to up-to-date GDPR regulations and local data protection laws, as requirements may vary by region.
  • Always review outputs from the AI agent with a legal professional before finalizing compliance-related documents.