Install
$ agentstack add skill-jukrap-ai-agent-playbook-data-migration-integrity ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Data Migration Integrity
Use this as the primary data skill for migration and backfill correctness.
Workflow
- Identify source/target datasets, ownership, volume, write paths, readers, schedule, migration order, and rollback or repair path.
- Classify the change as schema migration, backfill, transform, reconciliation, data repair, or warehouse/reporting migration.
- Check idempotency, batching, locking, constraints, late data, duplicates, partial failure, and compatibility with old/new code.
- Verify with dry runs, before/after counts, reconciliation queries, samples, and post-migration monitors when possible.
Reference
Read references/migration-integrity-checks.md for migration planning, idempotency, compatibility, locking, and rollback checks.
Read references/backfill-reconciliation.md for backfill, sampling, counts, reconciliation queries, and data repair handoff.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: jukrap
- Source: jukrap/ai-agent-playbook
- License: MIT
- Homepage: https://www.npmjs.com/package/ai-agent-playbook
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.