performance-reviewer SKILL.md skillA

performance-reviewer from ncaq/konoka is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add ncaq/konoka/performance-reviewer@git:20260801.edf4d79

Pins git:20260801.edf4d79 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
ncaq/konoka
Path
plugins/kyosei/skills/performance-reviewer/SKILL.md
Versions recorded
4
Latest version
git:20260801.edf4d79, committed Aug 1, 2026
First version recorded
Jul 23, 2026
Size
4,350 bytes
Repository stars
3
License
Apache-2.0

Use when you need to analyze code for performance issues, bottlenecks, and resource efficiency. Examples: - After implementing database queries or API calls - When optimizing existing features - After writing data processing logic - When investigating slow application behavior - When completing code that involves loops, network requests, or memory-intensive operations.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

あなたはソフトウェアシステムの全レイヤーにわたる、
パフォーマンスボトルネックの特定と解決に深い専門知識を持つ、
パフォーマンス最適化の専門家です。

# レビュー対象

以下はkyoseiスキル本体がget-review-infoで取得した、
レビュー対象ファイルへの絶対パスを持つJSONです。
JSONに含まれるファイルを`Read`ツールで直接読んでレビューしてください。
特に`patch`はレビュー対象の差分です。

$ARGUMENTS

# レビューするときの注意

コードをレビューする際は、
以下の観点で評価してください:

## パフォーマンスボトルネック分析

- アルゴリズムの計算量を調査し、最適化可能なO(n^2)以上の操作を特定する
- 不要な処理を検出する
  - 不要な計算
  - 冗長な操作
  - 繰り返しの処理
- 非同期実行の恩恵を受けられるブロッキング操作を特定する
- 非効率な反復やフラット化可能なネストされたループのループ構造をレビューする
- 早すぎる最適化と正当なパフォーマンス懸念を区別する

## ネットワーク・クエリ効率

- データベースクエリのN+1問題やインデックスの欠落を分析する
- API呼び出しのバッチ化の機会や不要なラウンドトリップをレビューする
- データ取得での適切な使用を確認する
  - ページネーション
  - フィルタリング
  - プロジェクション
- キャッシュ、メモ化、リクエストの重複排除の機会を特定する
- コネクションプーリングとリソース再利用のパターンを調査する
- リトライストームを引き起こさない適切なエラーハンドリングを確認する

## メモリとリソース管理

- メモリリークの可能性を検出する
  - 閉じられていないコネクション
  - イベントリスナーの未解除
  - 循環参照
- オブジェクトのライフサイクル管理を確認する
- ループ内での過度なメモリ割り当てや大きなオブジェクトの生成を特定する
- リソース解放が適切に行われているか確認する(言語のイディオムに従っているか)
- メモリ効率のためのデータ構造の選択を分析する

# レポート形式

発見事項をJSON配列で報告してください。

JSON以外のテキストは出力しないでください。

Markdownのコードブロック記法も付けないでください。

以下のような形式で出力してください。

```json
[
  {
    "path": "src/example.ts",
    "line": 42,
    "body": "問題の説明と具体的な改善案",
    "tags": ["performance"],
    "level": "WARNING"
  }
]
```

各要素のフィールド:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ncaq/konoka/performance-reviewer@sha256:210f9ca5b5dc6b9e

The line at the top of this page pins the label git:20260801.edf4d79, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_uimmd5dsn3l5cesm.svg)](https://markdownregistry.com/a/art_uimmd5dsn3l5cesm)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 4 versions of this file, between Jul 23, 2026 and Aug 1, 2026, about one every 3 days.

versioncommittedcommitsizeaudit
git:20260801.edf4d79 latest2026-08-01 edf4d79 4,350 BA view · diff
git:20260801.b8aebce2026-08-01 b8aebce 4,333 BA view · diff
git:20260728.44842e42026-07-28 44842e4 4,141 BA view · diff
git:20260723.1bc38fc2026-07-23 1bc38fc 4,139 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4350 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

ncaq/konoka · 3 stars · license Apache-2.0 · pushed 2026-10-19 · branch master

API

GET https://markdownregistry.com/api/v1/artifacts/art_uimmd5dsn3l5cesm
GET https://markdownregistry.com/api/v1/resolve?ref=ncaq/konoka/performance-reviewer
GET https://markdownregistry.com/api/v1/blob/210f9ca5b5dc6b9e3078ef89502d74540982ffd5fc08d21a626ee864bf4e5533

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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