classify-data
Skill0 starsChanged 16 days agoMITView on GitHub
Classify data a change touches — PII, retention, residency — without inventing legal rules. Use when the user asks to classify data, mark PII, data handling, or /classify-data. Do not write product code.
In this repository66 other files it gives its agents.
- AGENTS.mdAGENTS.md
- a11y-passSkill
- assess-changeSkill
- build-regression-packSkill
- charter-exploratorySkill
- commitSkill
- cut-releaseSkill
- data-changeSkill
- debugSkill
- design-experimentSkill
- diff-environmentsSkill
- draft-steercoSkill
- engineering-barSkill
- explain-codeSkill
- explore-codebaseSkill
- fix-ciSkill
- handoffSkill
- implement-changeSkill
- incident-triageSkill
- lean-reviewSkill
- map-dependenciesSkill
- map-design-handoffSkill
- map-processSkill
- open-prSkill
- performanceSkill
- plan-data-migrationSkill
- plan-incrementSkill
- plan-rollbackSkill
- plan-uatSkill
- prioritize-backlogSkill
- production-passSkill
- ready-to-mergeSkill
- record-decisionSkill
- refactor-safelySkill
- revert-changeSkill
- review-architectureSkill
- review-changeSkill
- review-pipelineSkill
- security-passSkill
- shape-workSkill
- ship-notesSkill
- spec-analyticsSkill
- spec-observabilitySkill
- start-projectSkill
- synthesize-discoverySkill
- triage-blockersSkill
- triage-defectSkill
- update-raidSkill
- verify-uiSkill
- write-api-examplesSkill
- write-architectureSkill
- write-designSkill
- write-dev-tasksSkill
- write-docsSkill
- write-integration-contractSkill
- write-nfrSkill
- write-opportunitySkill
- write-prdSkill
- write-requirementsSkill
- write-runbookSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 18
Do not invent retention periods, residency, or lawful basis.
- Very specific: line 40
Read AGENTS.md if present.
- Distinctive: line 41
Read the named spec. List fields / artifacts the change stores, sends, or logs.
≈ “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.
Files
Classify data
Say what data this change touches and what you do not know. This is not write-nfr, not security-pass (that is a diff), and not legal advice.
Do not invent retention periods, residency, or lawful basis.
Is this the right skill?
| Signal | Do this instead |
| Threat model of a diff | security-pass |
| Event list | spec-analytics |
| Schema expand/contract | data-change / plan-data-migration |
Required inputs
- The change: requirements, design, or contract path
context/if it already states data rules
Human decisions (do not invent)
- Retention, residency, lawful basis
- Whether a field is allowed to be stored
Procedure
- Read
AGENTS.mdif present. Readcontext/files that mention data or privacy. - Read the named spec. List fields / artifacts the change stores, sends, or logs.
- Find the home: first existing
docs/data/, or offer to create it. Name:docs/data/classify-<slug>.md. - Open references/classify-template.md. Copy every heading. Write
n/awhen unused. - Each item: name, flows where, PII yes/no/unknown, retention source or
unknown, residency source orunknown. - Secrets and credentials are never “unknown PII” — they are secrets; do not put values in the doc.
- Point legal questions at
context/decision-rights.md. Do not answer them.
Output
- Path:
docs/data/classify-<slug>.md - Template:
references/classify-template.md
Quality bar
- Spec path is named
- Every field has PII yes / no / unknown
- Retention/residency are sourced or
unknown - No legal rule invented
- Unused headings are
n/a
Done
- Path
- Field count + unknown count
- Next skill:
security-passon the implementation; human on unknowns
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

