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Dataset Retire

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Plan and delegate safe dataset retirement, tombstoning, derived-artifact cleanup, and reconciliation.

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  • Added September 20, 2026
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A100/100

Scanned September 20, 2026

npx -y skills add jmagly/aiwg --skill dataset-retire --agent claude-code

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SKILL.md
---
namespace: aiwg
name: dataset-retire
description: Plan and delegate safe dataset retirement, tombstoning, derived-artifact cleanup, and reconciliation.
version: 1.0.0
platforms: [all]
aliases: [remove dataset, decommission index, dataset cleanup]
triggers: [retire this dataset, remove this index safely, delete derived dataset artifacts, reconcile dataset deletion, decommission this source]
---

# Dataset Retirement

First encode the retirement operation and complete enumeration in a governed
plan input, then use `aiwg dataset plan --file <plan-input.json> --json`. Require
complete bounded enumeration of affected canonical and derived artifacts,
retention/legal-hold checks, tombstones by default, rollback limits, and a
reviewed bulk threshold. Dataset Policy Reviewer approval must match the exact
plan digest.

Delegate only through `aiwg dataset ingest` with the exact retirement plan
digest, idempotency key, approval IDs, preview digest, and threshold.
Never delete directly. Preserve canonical material unless explicitly and
separately authorized. Finish with `aiwg dataset verify <run-ref> --json` and a
reconciliation/evidence handoff.

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