golang-benchmark
Measure and Diagnose Go Performance
Go performance work often fails because benchmarks are noisy or profiles are misread. This skill provides a rigorous workflow for measurement, comparison, and diagnosis.
自分のエージェントでインストール
このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。
Review the Skillstore skill "golang-benchmark" from https://skillstore.io/skills/samber-golang-benchmark.md and its manifest at https://skillstore.io/api/skills/samber-golang-benchmark/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。
エージェントが読めるリソース
AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。
テストする
「golang-benchmark」を使用しています。 A candidate benchmark is three percent faster, but benchstat reports no significant difference.
期待される結果:
Do not claim an improvement. Increase sample quality, control environmental noise, and compare both versions under identical conditions.
「golang-benchmark」を使用しています。 A CPU profile is dominated by runtime allocation functions.
期待される結果:
- Rank cumulative callers to find application entry points.
- Inspect hot source lines and collect an allocation profile.
- Confirm escape behavior before changing allocation strategy.
「golang-benchmark」を使用しています。 CI benchmarks vary by ten percent between runs.
期待される結果:
Use a dedicated runner, run benchmarks serially, increase repetitions, and set thresholds above measured environmental variance.
セキュリティ監査
中リスクMost alerts are lexical false positives caused by Markdown, localhost examples, and profiling terminology. Confirmed risks include privileged CPU controls, token delegation, and an unauthenticated all-interface trace viewer. Semantic review also found insecure TLS guidance and an unpinned tool installation.
確認済みのセキュリティ上の懸念 (2)
機能レビュー項目 (18)
これらは、このスキルに期待される可能性のある実際のローカル機能であるため、レビューが必要ですが、確認済みの悪意ある動作としてはカウントされません。
リスク要因
⚙️ 外部コマンド (50)
🌐 ネットワークアクセス (27)
📁 ファイルシステムへのアクセス (18)
🔑 環境変数 (1)
このレポートを共有・引用
バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。
レポートリンクをコピー
https://skillstore.io/skills/samber-golang-benchmark/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportMarkdownバッジ
[](https://skillstore.io/skills/samber-golang-benchmark?utm_source=security_passport_badge)HTMLバッジ
<a href="https://skillstore.io/skills/samber-golang-benchmark?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/samber-golang-benchmark/security.svg" alt="Skillstore security assessment" loading="lazy"></a>埋め込みカード
<iframe src="https://skillstore.io/embed/skills/samber-golang-benchmark.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>学術引用 (APA · BibTeX · CFF)
APA形式の引用
samber. (2026). golang-benchmark security audit report (audit version 1) [Author version 1.3.2]. Skillstore. https://skillstore.io/skills/samber-golang-benchmark/audits/1BibTeX形式の引用
@techreport{samber-samber-golang-benchmark-2026,
author = {samber},
title = {golang-benchmark security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/samber-golang-benchmark/audits/1},
note = {Author version 1.3.2}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "golang-benchmark security audit report (audit version 1)"
version: "1.3.2"
type: report
authors:
- name: "samber"
date-released: "2026-09-23"
url: "https://skillstore.io/skills/samber-golang-benchmark/audits/1"
identifiers:
- type: other
value: "skillstore:samber-golang-benchmark:audit:1"
description: "Skillstore immutable audit report identifier"
Skillstore スコア
このスコアの理由 証拠の信頼度: 中作成できるもの
Validate an Optimization
Create repeatable before-and-after benchmarks and decide whether measured changes are statistically significant.
Diagnose Production Latency
Correlate runtime metrics with CPU, memory, goroutine, and trace evidence to identify expensive paths.
Prevent CI Regressions
Establish benchmark baselines, practical thresholds, and controlled runner settings for pull request checks.
これらのプロンプトを試す
Write a Go benchmark for [function]. Exclude setup time, report allocations, and use representative inputs.
Compare these baseline and candidate benchmark results. Explain significance, noise, allocation changes, and whether the optimization is supported.
Analyze this [CPU or memory] profile summary. Identify likely application callers and recommend focused pprof commands for confirmation.
Design a CI benchmark gate for [repository]. Include baseline handling, sample counts, thresholds, runner controls, permissions, and failure investigation.
ベストプラクティス
- Compare versions on the same toolchain, hardware, workload, and runner configuration.
- Collect multiple samples and use statistical results before making performance claims.
- Preserve benchmark context, profile type, build identity, and hardware details with every result.
回避
- Do not approve an optimization from one benchmark run or a nonsignificant result.
- Do not run competing benchmarks concurrently on shared processors.
- Do not expose profiling or trace endpoints without authentication and network restrictions.
よくある質問
Does this skill write Go benchmarks?
Can it interpret benchstat output?
Which profiles does it cover?
Can it diagnose production issues?
Does it support CI regression detection?
Does system tuning require administrator access?
開発者情報
作成者
samberライセンス
MIT
作者バージョン
v1.3.2
Skillstore リビジョン
r1
参照
2aa351cb09c29b7287d263bd8ea81e9bee3b2a61
メンテナンスの新しさ
2026/9/30
利用状況
0 ダウンロード · 0 閲覧
ファイル構成