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Garry Tan
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* feat: add test_stub optional field to specialist finding schema All specialist prompts now document test_stub as an optional output field, enabling specialists to suggest test code alongside findings. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: adaptive gating + test framework detection for review army Adds gstack-specialist-stats binary for tracking specialist hit rates. Resolver now detects test framework for test_stub generation, applies adaptive gating to skip silent specialists, and compiles per-specialist stats for the review-log entry. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * feat: cross-review finding dedup + test stub override + enriched review-log Step 5.0 suppresses findings previously skipped by the user when the relevant code hasn't changed. Test stub findings force ASK classification so users approve test creation. Review-log now includes quality_score, per-specialist stats, and per-finding action records. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * chore: bump version and changelog (v0.15.2.0) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: bash operator precedence in test framework detection [ -f a ] || [ -f b ] && X="y" evaluates as A || (B && C), so the assignment only runs when the second test passes. Wrap the OR group in braces: { [ -f a ] || [ -f b ]; } && X="y". Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Data Migration Specialist Review Checklist
Scope: When SCOPE_MIGRATIONS=true
Output: JSON objects, one finding per line. Schema:
{"severity":"CRITICAL|INFORMATIONAL","confidence":N,"path":"file","line":N,"category":"data-migration","summary":"...","fix":"...","fingerprint":"path:line:data-migration","specialist":"data-migration"}
Optional: line, fix, fingerprint, evidence, test_stub.
If no findings: output NO FINDINGS and nothing else.
Categories
Reversibility
- Can this migration be rolled back without data loss?
- Is there a corresponding down/rollback migration?
- Does the rollback actually undo the change or just no-op?
- Would rolling back break the current application code?
Data Loss Risk
- Dropping columns that still contain data (add deprecation period first)
- Changing column types that truncate data (varchar(255) → varchar(50))
- Removing tables without verifying no code references them
- Renaming columns without updating all references (ORM, raw SQL, views)
- NOT NULL constraints added to columns with existing NULL values (needs backfill first)
Lock Duration
- ALTER TABLE on large tables without CONCURRENTLY (PostgreSQL)
- Adding indexes without CONCURRENTLY on tables with >100K rows
- Multiple ALTER TABLE statements that could be combined into one lock acquisition
- Schema changes that acquire exclusive locks during peak traffic hours
Backfill Strategy
- New NOT NULL columns without DEFAULT value (requires backfill before constraint)
- New columns with computed defaults that need batch population
- Missing backfill script or rake task for existing records
- Backfill that updates all rows at once instead of batching (locks table)
Index Creation
- CREATE INDEX without CONCURRENTLY on production tables
- Duplicate indexes (new index covers same columns as existing one)
- Missing indexes on new foreign key columns
- Partial indexes where a full index would be more useful (or vice versa)
Multi-Phase Safety
- Migrations that must be deployed in a specific order with application code
- Schema changes that break the current running code (deploy code first, then migrate)
- Migrations that assume a deploy boundary (old code + new schema = crash)
- Missing feature flag to handle mixed old/new code during rolling deploy