AGENT SKILL

schema-review

Use when reviewing a migration diff or schema change for scale hazards — indexes, unsafe migrations, unbounded growth, N+1. Triggers on 'review this migration', 'will this scale'.

License 许可
MIT
最近更新
2026-11-14
Stars
★ 19
Forks
1

01 前言 Front Matter

name
schema-review
packs
[ "scale-discipline" ]
trust
{ "level": "professional" }
domain
engineering
install
{ "default": false, "removable": true }
model_tier
medium
workspaces
[ "engineering" ]
description
Use when reviewing a migration diff or schema change for scale hazards — indexes, unsafe migrations, unbounded growth, N+1. Triggers on 'review this migration', 'will this scale'.

02 资源文件 1

03 SKILL.md 正文

schema-review

When to use

  • A migration diff, new migration file, or schema change is under review and the question is scale-shaped: indexes, reversibility, growth, query patterns against the new columns.
  • The user asks "will this scale", "review this migration", "check the schema", or a PR touches migrations/, schema.prisma, or raw .sql migration files.
  • NOT for runtime performance analysis of live traffic (no APM here — route to performance-analysis) and NOT for authoring a new migration from scratch (route to laravel-migration or the stack-native tool, then come back with the diff), and NOT for designing the schema itself (route to database, which owns relational modeling).

Procedure

  1. Detect the stack surface in the diff: Laravel migrations (database/migrations/*.php), Prisma (schema.prisma + prisma/migrations/**/migration.sql), raw SQL (*.sql). One diff can carry several.

  2. Run the deterministic linter on the touched files plus the query surface that references the changed tables:

    npx tsx node_modules/@event4u/agent-config/src/scripts/lint_persistence.ts --dir <path> [--stack eloquent|prisma|raw-sql] --format json
    

    The linter emits gate findings (pattern-detected: F1 N+1, F2 index-parity, F3 unbounded reads, F6 migration-safety, F7 growth-budget, F8 audit-coverage, F9 sync-in-handler, F11 non-durable async) and advice findings (heuristics — never treat as blockers).

  3. Walk the gap table — for every gate finding decide: fix, or waiver with a reason (// no-index: <reason>, // sync-required: <reason>, -- no-retention: <reason>, …). An empty waiver reason is itself a finding.

  4. Check the R-A6/R-A7 invariants by hand where the linter is blind: reversibility of data transformations, retention policy for any new append-only table (the -- retention: <policy> line), backfill plan for new NOT NULL columns on large tables.

  5. A drop or rename → run the consumer census before judging it safe: app side via blast-radius-analyzer, catalog side via consumer-census.

  6. Report waiver density neutrally — count waivers per rule; state both readings (informed exceptions vs rule misfit) and let the human decide. Density alone is never a verdict.

Output

The review MUST contain:

  1. Gap table — one row per finding: rule · file:line · finding · proposed action (fix | waiver | accepted), gate findings first, advice findings clearly marked as advice.
  2. Waiver-density line — N waivers across M findings with the two-reading note (informed exceptions vs rule misfit).
  3. A one-line verdict: ready / needs fixes / needs human schema decision — never a bare "looks good" without the table.

Gotcha

  • The linter proves pattern presence, not instance-level correctness — a flagged Http:: call in a controller may be legitimately sync (then it gets a // sync-required: waiver with a reason), and a clean run does not prove the schema scales. Say what was checked, not more.
  • Prisma's @relation fields are indexed implicitly on some connectors and not on others — when the linter reports a missing FK index on a Prisma model, verify the connector before calling it a defect.

Do NOT

  • Do NOT gate a review on advice-tier findings (F4 denormalization, F10 event-decoupling heuristics) — they are review inputs, not blockers.
  • Do NOT strip or rewrite existing waivers — surface stale-looking ones and ask.
  • Do NOT invent index recommendations for columns the query surface never filters or orders by — index parity cuts both ways; unused indexes cost write throughput.

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