Individual skill

s4h-ethics-data-audit

Audit a data collection, retention, or sharing decision against ethical standards. Use when the user is making decisions about what data to collect, how long to keep it, who can access it, or who it's shared with. TRIGGERS: 'audit this data decision', 'is this data practice ok', 'data ethics check', any change to data models, privacy controls, analytics instrumentation, data sharing agreements, or retention policies. Goes beyond legal compliance — evaluates whether the practice is ethical, not just lawful.

skills/s4h-ethics-data-audit/SKILL.md

Read pinned source

Source commit a30df8b67698ccb03ef5e35d68c2eddc5321ad3f

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
Yes
Observed behavior
Instructions only
Last checked
Nov 11, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
241
Repository last updated
Jul 15, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Ethics Data Audit

Legal compliance sets the floor. This audit asks whether your data practices clear a higher bar: are they *ethical*?

The distinction matters. GDPR-compliant practices can still be extractive. Lawful data collection can still violate trust. This audit evaluates data decisions through two lenses that legal frameworks tend to underweight: **deontological** (what do users have a right to, regardless of what the terms allow?) and **care ethics** (what do you owe the people whose data you hold, given the relationship and the vulnerability involved?).

---

## Your Process

**Step 1: Define the data practice**
What data is being collected, retained, shared, or used? Be specific: what fields, what volume, what purpose, who can access it, how long is it kept, where does it go?

**Framing check:** Confirm the specific data practice before continuing. State what you've identified — the actual data being handled, its stated purpose, and the decision or change under review — in one sentence, then use `AskUserQuestion`:
Back to top