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Rank SQL performance recommendations by expected impact, operational risk, and implementation effort.
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Basé sur la classification professionnelle SOC
Designs dry-run experiments across query rewrites, indexes, workload twins, and rollout gates.
Produces a board-level briefing for closed-loop autonomous database operations.
Enforces closed-loop dry-run boundaries and blocks autonomous production apply.
Scores whether enough evidence exists to recommend, defer, or escalate an autonomous operator decision.
Compares do-nothing, dry-run-change, rollback, and defer scenarios for an operating objective.
Builds an executive-grade decision evidence packet from runtime signals and confidence checks.
| name | recommendation-ranker |
| description | Rank SQL performance recommendations by expected impact, operational risk, and implementation effort. |
Run:
node runtime/runTool.js recommendation_ranker '{"recommendations":[{"id":"narrow_projection","impact":"medium","risk":"low","effort":"low"}]}'
Returns ranked recommendations and score rationale.