スキル measure-dont-guess
📦

measure-dont-guess

コンテンツリビジョン r1 中リスク ⚙️ 外部コマンド

Measure Evidence Before Changing Code

Assumptions can lead to ineffective fixes and misleading performance claims. This skill guides assistants through hypotheses, predefined criteria, repeatable measurements, and evidence-based decisions.

対応: Claude Codex Code(CC)
Maintain this Skill? Claim it 📊 67 十分

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。

エージェントリクエスト
Review the Skillstore skill "measure-dont-guess" from https://skillstore.io/skills/masseater-measure-dont-guess.md and its manifest at https://skillstore.io/api/skills/masseater-measure-dont-guess/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。

Markdown詳細 GET /skills/masseater-measure-dont-guess.md 署名済み manifest GET /api/skills/masseater-measure-dont-guess/manifest 署名済み lockfile GET /api/skills/masseater-measure-dont-guess/lockfile

テストする

「measure-dont-guess」を使用しています。 Illustrative request: Investigate intermittent checkout failures without assuming the database is responsible.

期待される結果:

  • Question: At which boundary does the checkout request first become invalid?
  • Hypotheses: request validation, service transformation, or database handling.
  • Observation plan: Record redacted boundary values and correlation identifiers in an approved environment.
  • Decision criterion: Identify the earliest boundary where valid input produces invalid output.
  • Status: Root cause remains unconfirmed until reproduction and measurements are available.

「measure-dont-guess」を使用しています。 Illustrative request: Determine whether caching improves a slow endpoint.

期待される結果:

  • Hypothesis: Repeated reads account for most endpoint latency.
  • Baseline plan: Measure endpoint and read spans under the same representative workload across repeated runs.
  • Decision criterion: Agree on the required latency reduction and acceptable error rate before testing.
  • Experiment: Change only caching behavior, repeat measurements, and inspect other operations for regressions.
  • Status: No performance improvement is claimed before measurements.

セキュリティ監査

中リスク
v1 • 2026/10/24 バージョン別レポートを開く

All seven static alerts are false positives: Markdown link labels are not shell execution, and the entropy alerts concern readable Japanese documentation. No evidence found of prompt injection, obfuscated payloads, or intentional data exfiltration. A separate confidentiality risk arises from recommending production diagnostics and logging boundary values without redaction guidance.

5
スキャンされたファイル
133
解析済み行数
0
レビュー項目
0
誤検知を無視

確認済みのセキュリティ上の懸念 (1)

中
SKILL.md:21-27SKILL.md:32usecases/find-root-cause.md:8
Production Diagnostics Lack Sensitive Data Safeguards
The workflow prioritizes production measurements and instructs logging incoming and outgoing values at layer boundaries. Without redaction, credentials or personal data could enter logs. Recording measurement results in commit messages could further persist sensitive diagnostic content.
Production measurement and boundary-value logging are explicit instructions, and the reviewed workflow provides no redaction guidance. Actual disclosure depends on diagnostic data and execution.

リスク要因

⚙️ 外部コマンド (4)
SKILL.md:39 SKILL.md:40 SKILL.md:41 SKILL.md:45
監査者: codex
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。

バージョン別レポートを開く
セキュリティ評価

レポートリンクをコピー

https://skillstore.io/skills/masseater-measure-dont-guess/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdownバッジ

[![Skillstore security assessment](https://skillstore.io/badges/skills/masseater-measure-dont-guess/security.svg)](https://skillstore.io/skills/masseater-measure-dont-guess?utm_source=security_passport_badge)

HTMLバッジ

<a href="https://skillstore.io/skills/masseater-measure-dont-guess?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/masseater-measure-dont-guess/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

埋め込みカード

<iframe src="https://skillstore.io/embed/skills/masseater-measure-dont-guess.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

masseater. (2026). measure-dont-guess security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/masseater-measure-dont-guess/audits/1

BibTeX形式の引用

@techreport{masseater-masseater-measure-dont-guess-2026, author = {masseater}, title = {measure-dont-guess security audit report (audit version 1)}, institution = {Skillstore}, year = {2026}, number = {1}, url = {https://skillstore.io/skills/masseater-measure-dont-guess/audits/1}, note = {Author version unspecified} }

CITATION.cff

cff-version: 1.2.0 message: "If you use this Skill, cite its author and this versioned security audit report." title: "measure-dont-guess security audit report (audit version 1)" version: "unspecified" type: report authors: - name: "masseater" date-released: "2026-10-24" url: "https://skillstore.io/skills/masseater-measure-dont-guess/audits/1" identifiers: - type: other value: "skillstore:masseater-measure-dont-guess: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
41
アーキテクチャ
85
保守性
87
コンテンツ
65
コミュニティ
91
仕様準拠

作成できるもの

Investigate a Reproducible Bug

Trace a failing request across application layers, isolate the source of invalid values, and verify one targeted fix.

Verify a Performance Improvement

Collect a representative baseline, change one measured bottleneck, and compare repeated results while checking for regressions.

Define Feature Acceptance Evidence

Turn feature requirements into failing acceptance checks before implementation, then verify the completed behavior with the same checks.

これらのプロンプトを試す

Beginner: Define a Measurement 
Use measure-dont-guess for [question]. List hypotheses, the measurement needed for each, and decision criteria before proposing code changes.
Intermediate: Find the Root Cause 
Investigate [bug] using [reproduction and logs]. Review recent changes, propose redacted boundary observations, and define a failing test before one targeted fix.
Advanced: Compare Performance 
Evaluate [proposed optimization] in [approved representative environment]. Define baseline spans, repeat measurements, report variation, and check regressions after one change.
Advanced: Validate Across Layers 
Plan validation for [feature] across [layers]. Define failing acceptance tests, redacted observations, and decision criteria. Identify missing access before any production action.

ベストプラクティス

  • Write hypotheses and acceptance criteria before collecting results, then keep experiment conditions consistent.
  • Use approved representative environments, redact sensitive diagnostics, and sanitize evidence before adding it to commits.
  • Change one factor at a time, repeat measurements, and report uncertainty or missing access explicitly.

回避

  • Treating an unmeasured explanation as a confirmed root cause.
  • Changing acceptance criteria after seeing results or combining unrelated fixes.
  • Logging raw production inputs or committing diagnostic results without checking for sensitive data.

よくある質問

What does this skill provide?
It provides measurement-first instructions for debugging, performance comparisons, and feature validation. It does not include an executable measurement engine.
Can I use it with Claude, Codex, and Claude Code?
The workflows can guide these assistants. Actual measurements depend on the tools, permissions, and environment available to each assistant.
Does it require the referenced TypeScript template?
No. The general workflow applies elsewhere, but Effect and Cloudflare instructions must be mapped to equivalent tools in your repository.
Must measurements run in production?
The source prioritizes production and otherwise calls for matching staging conditions. Obtain authorization and define diagnostic safeguards before accessing either environment.
What happens when measurements are unavailable?
The workflow directs the assistant to explain what is missing and label unmeasured claims as speculation instead of proceeding on assumptions.
How should logs and measurement records be handled?
Redact secrets and personal data, restrict access, and sanitize results before committing them. These safeguards must supplement the source instructions.

開発者情報

作成者

masseater

ライセンス

MIT

Skillstore リビジョン

r1

バージョンに関する注意

作者はバージョンを宣言していません。

リポジトリ

https://github.com/masseater/skills/tree/4810c8f1186a229ca57d2f278c0a94f0fc862fec/skills/measure-dont-guess

参照

443c05ac1206b41f40676914eae29431c8e9605b

メンテナンスの新しさ

2026/10/24

利用状況

0 ダウンロード · 0 閲覧

ファイル構成

📁 references/

📄 typescript-template.md

📄 SKILL.md

📁 usecases/

📄 find-root-cause.md

📄 improve-performance.md

📄 measure.md

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