data-integrity
De la autor
Keep data correct over time — write the invariants down, push each one to the lowest layer that can enforce it, cover the rest with reconciliation queries, and detect drift before a user reports it. Use when deciding where a rule should be enforced, auditing a schema whose rules live only in application code, building reconciliation or drift checks, or investigating data that looks wrong. Not for sequencing a schema change (migrations) or proving one migration's outcome (database-migration-verification), and it stops before repairing rows in a shared environment.
Instalare
npx skills add nahid-sparktales/agent-dispatcher --skill data-integrity -a claude-code
Se instalează în .claude/skills/data-integrity/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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De ce 82
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
- data-migrationcbrock84/headcountMoves data from one system to another without losing it or corrupting it — profiling the source before mapping, deciding between big-bang and parallel-run cutover, reconciling counts and values rather than assuming, handling the records that will not map cleanly, and planning a rollback that is actually executable. Use this to plan or run a migration, assess a migration plan someone else wrote, work out why a completed migration is producing wrong numbers, or size how long one will really take.Planificare★ 2.1K
- data-qualitynahid-sparktales/agent-dispatcherDecide what must be true of a dataset and where that assertion belongs — freshness against event time, volume floors and bands, distribution and referential checks, source reconciliation, and whether it should be a schema constraint, a blocking publish gate or an alert. Use when adding or reviewing data checks, when a wrong number reached a consumer and nothing caught it, or when a check fires so often it is being ignored. Not for proving a specific migration did what it claimed (database-migration-verification), not for building the pipeline itself (data-pipelines), and not for interpreting what the numbers mean.Date★ 59
- Data Integrity TestingPramodDutta/qaskillsVerifying data integrity constraints, referential integrity, data type validation, and consistency checks across database operations.Testare★ 240
- migrationsnahid-sparktales/agent-dispatcherChange a live schema without breaking the application on it — expand/contract sequencing, lock-safe DDL, batched backfills, and a rollback that is actually reachable. Use when writing, reviewing or sequencing a migration that will run against a database holding real data with live readers. Not for designing a schema from scratch, not for proving afterwards that a migration did what it claimed (that is database-migration-verification), and it never runs the production step for you.Date★ 59
- database-migration-verificationnahid-sparktales/agent-dispatcherProve a migration did what it claimed — before/after row counts, column checksums, constraint and index state, invariant queries, an exercised application read path, and a rehearsed rollback. Use after a migration has been applied to any environment and before anyone reports it as working, or when reviewing someone else's claim that a migration succeeded. Not for planning or sequencing the migration (that is migrations), and it does not treat a clean exit code, a green CI run, or a backup's existence as proof.Date★ 59
- database-testingpetrkindlmann/qa-skillsValidate database integrity, test migrations forward and backward, verify schema constraints, manage seed data, detect migration drift, and identify query performance issues. Covers PostgreSQL, MySQL, MongoDB with Prisma, TypeORM, Drizzle, and SQLAlchemy, plus Testcontainers test databases. Use when: "database test," "migration test," "migration rollback," "rollback test," "data integrity," "SQL test," "schema validation," "seed data," "query performance," "Testcontainers." Not for: synthetic data generation/masking at scale — use test-data-management; Docker/IaC test-environment provisioning — use test-environments; SQL injection — use security-testing. Related: test-data-management, test-environments, security-testing, ci-cd-integration.Testare★ 208
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