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Data Safety Auditor

Checked
ananddtyagi·vlatest·security

Analyzes data handling practices, identifies vulnerabilities, and suggests improvements to ensure robust data security and compliance.

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 ananddtyagi/cc-marketplace --skill data-safety-auditor -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

ananddtyagi

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 ananddtyagi/cc-marketplace at b643305146.

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

Scanned
11 files, 2,134 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 Data Safety Auditor skill assesses data handling practices within a given context. It can identify potential privacy risks and compliance issues based on provided text or code snippets. The tool provides actionable recommendations for improving data safety, focusing on areas like data minimization, anonymization, and secure storage.

When to use it

  • Reviewing new features: Before releasing a feature that handles user data, have the auditor assess its potential privacy impact.
  • Analyzing code changes: When modifying existing code related to data processing, ensure no new vulnerabilities are introduced.
  • Evaluating third-party integrations: Assess the data safety practices of external services your application interacts with.
  • Preparing for audits: Generate a report outlining your data handling procedures for compliance checks.

Key capabilities

  • Privacy risk identification
  • Compliance issue detection
  • Actionable recommendations
  • Data minimization assessment
  • Anonymization review
  • Secure storage evaluation

Example prompts

  • "Analyze this code snippet and identify any potential privacy risks: [code]"
  • "Review the following description of our user onboarding process for data safety concerns: [text]"
  • "Assess whether this third-party API's documentation adheres to GDPR principles."

Tips & gotchas

The auditor’s effectiveness depends on the clarity and completeness of the input provided. It is best used with well-documented code or detailed descriptions of data handling processes for optimal results.