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26zl26zl/universal-agent-skills/skills/data-minimization/SKILL.md

data-minimization

Skill2 starsChanged 37 days agoMITView on GitHub

Keep real personal and confidential data out of code, tests, fixtures, logs, error messages, examples, and prompts; use synthetic data, and mask identifiers when a real record is unavoidable. Use when writing tests, fixtures, seed data, logging, debugging output, or documentation, or when moving data between systems; do not use to remove lawful data processing that the product itself performs.

1 other project uses a version of this.

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The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 5 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈5

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Never copy real names, e-mail addresses, national identifiers, or health, financial, or location records into tests, fixtures, seeds, …

    line 13
  2. Distinctive:

    Never log personal or confidential data in plaintext.

    line 14
  3. Distinctive:

    Keep production data out of scratch files, issue trackers, and shared prompts.

    line 15
  4. Distinctive:

    Treat data supplied in a conversation as confidential input: use it for the task, never persist it into the repository.

    line 16
  5. Distinctive:

    When designing schemas or interfaces, collect only fields with a stated purpose, and flag fields that look like surplus collection.

    line 17

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Data Minimization

Personal data belongs in the systems built to protect it, not in development artifacts.

Rules

  • Never copy real names, e-mail addresses, national identifiers, or health, financial, or location records into tests, fixtures, seeds, examples, or documentation; generate synthetic data instead.
  • Never log personal or confidential data in plaintext; log stable opaque identifiers and mask everything else.
  • Keep production data out of scratch files, issue trackers, and shared prompts; when a real record is essential for a reproduction, reduce it to the minimal fields and mask direct identifiers.
  • Treat data supplied in a conversation as confidential input: use it for the task, never persist it into the repository.
  • When designing schemas or interfaces, collect only fields with a stated purpose, and flag fields that look like surplus collection.
  • Report any discovered dump, export, or backup of personal data inside the repository as a finding instead of working around it.

Boundaries

  • The product's lawful processing of personal data is out of scope; this skill governs development artifacts and diagnostics.
  • Regulatory retention and audit requirements win over minimization when they conflict.

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