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SKILL verified MIT Self-run

Query Performance Review

skill-jukrap-ai-agent-playbook-query-performance-review · by jukrap

Use when reviewing slow SQL, reporting queries, dashboard queries, API list/detail queries, exports, aggregates, joins, sort/pagination, full scans, N+1 patterns, or index choices.

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Install

$ agentstack add skill-jukrap-ai-agent-playbook-query-performance-review

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

View the full security report →

Verified badge

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Reliability & compatibility

✓ Security review passed
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● 2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Query Performance Review

Use this as the primary database skill for SQL/query performance and rendered consumer checks.

Workflow

  1. Identify the query, caller, consumer, representative parameters, expected row count, timeout budget, and correctness requirements.
  2. Gather available evidence: explain plan, indexes, filters, joins, sort/pagination, aggregates, N+1 behavior, cache behavior, and rendered output.
  3. Propose the smallest safe change: query rewrite, index, pagination, pre-aggregation, projection reduction, batching, or consumer-level change.
  4. Verify with explain/estimate, before/after query results, application behavior, report/export/dashboard output, and project-defined performance checks.

Reference

Read references/query-plan-and-index-checks.md for plan, index, cardinality, and query-shape checks.

Read references/reporting-query-cost-controls.md for dashboard, export, reporting, and data-source consumer checks.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.