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Reviewer Performance Review

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Review code changes only for performance and efficiency risks (N+1 queries, repeated work, bad asymptotics, missing batching/caching, blocking I/O, memory growth). Use when the user explicitly asks for a performance review of a diff/PR.

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  • Added September 12, 2026
ai-agentsgogitperformance

Works with

  • mcp

Security analysis

A100/100

Scanned September 12, 2026

npx -y skills add thedixitjain/the-mega-skill-library --skill reviewer-performance-review --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: reviewer-performance-review
description: "Review code changes only for performance and efficiency risks (N+1 queries, repeated work, bad asymptotics, missing batching/caching, blocking I/O, memory growth). Use when the user explicitly asks for a performance review of a diff/PR."
category: engineering-core
source_repo: hashgraph-online/awesome-codex-plugins
source_path: "plugins/mimfort/rag_for_git/plugin/skills/performance-review/SKILL.md"
source_url: https://github.com/hashgraph-online/awesome-codex-plugins/blob/HEAD/plugins/mimfort/rag_for_git/plugin/skills/performance-review/SKILL.md
---


# Performance Review

<!-- include: _common/dimension-scope.md -->

<!-- include: _common/tool-usage.md -->
<!-- include: _common/reviewer-grounding.md -->
In `/reviewer_review-pr` use the PR-session tools above. Standalone (no PR session): use
the session-less tools per the reviewer-grounding block when reviewer is connected and the
index is fresh; otherwise fall back to grep/Read.

## Goal

Look only for performance and efficiency risks in the selected changes. Ignore style,
architecture, tests, and general correctness unless they materially affect performance.

Prioritize findings such as:

- N+1 queries and repeated remote calls;
- unnecessary loops or repeated work;
- bad asymptotic behavior on hot paths;
- redundant rendering, serialization, parsing, allocations, or avoidable copies;
- missing batching, caching, pagination, or streaming where the diff makes that risk
  likely;
- blocking I/O or CPU-heavy work on latency-sensitive paths;
- memory growth or large payload handling.

## Method

1. Read the diff first.
2. Open only the nearby code needed to understand whether the changed path is
   performance-sensitive. In `/reviewer_review-pr` use the reviewer MCP tools: `read_file`,
   `search_code`, `find_callers`.
3. Prefer concrete findings over vague perf speculation.
4. If a concern depends on an assumption, state that assumption explicitly.
5. If a path is probably not performance-sensitive, do not invent issues.

## Severity

- `critical` / `high`: likely severe latency, throughput, or resource regression on
  an important path.
- `medium`: meaningful inefficiency or scaling risk that should probably be fixed.
- `low`: worthwhile optimization or preventive note, not a blocker.

## Output

Return only actionable findings.

Return ONLY the findings JSON used by the review pipeline, with
`"category": "performance"`:

<!-- include: _common/findings-schema.md -->
- Calibrate `confidence` against a measurable, reproducible effect: a hot path you can point
  to (loop bound, query inside a loop) → 0.8+; a plausible but data-dependent cost → 0.5–0.7;
  no measurable/reproducible effect → ≤ 0.4 (drop).
Set "category" to "performance"; "side" is always "RIGHT".

<!-- include: _common/dimension-output-tail.md -->

---

**Source:** [`hashgraph-online/awesome-codex-plugins`](https://github.com/hashgraph-online/awesome-codex-plugins) → `plugins/mimfort/rag_for_git/plugin/skills/performance-review/SKILL.md`

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