Fähigkeiten measure-dont-guess

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measure-dont-guess

Name: measure-dont-guess
Author: masseater

Inhaltsrevision r1 Mittleres Risiko ⚙️ Externe Befehle

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.

Unterstützt: Claude Codex Code(CC)

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Mit meinem Agent installieren

Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.

Agent-Anfrage

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.

Ihr Agent sollte weiterhin seinen Plan anzeigen und alle von der Sicherheitsrichtlinie verlangten Bestätigungen anfordern.

Agent-lesbare Ressourcen

Verwenden Sie diese Links, wenn ein KI-Agent, Crawler oder Skript sauberen Kontext benötigt, statt die vollständige Seite zu lesen.

Markdown-Detailseite GET /skills/masseater-measure-dont-guess.md Signiertes manifest GET /api/skills/masseater-measure-dont-guess/manifest Signiertes lockfile GET /api/skills/masseater-measure-dont-guess/lockfile

Testen

„measure-dont-guess“ wird verwendet. Illustrative request: Investigate intermittent checkout failures without assuming the database is responsible.

Erwartetes Ergebnis:

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“ wird verwendet. Illustrative request: Determine whether caching improves a slow endpoint.

Erwartetes Ergebnis:

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.

Sicherheitsaudit

Mittleres Risiko

v1 • 24.10.2026 Versionsbericht öffnen

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.

Gescannte Dateien

133

Analysierte Zeilen

Prüfelemente

Falschmeldungen ignoriert

Bestätigte Sicherheitsbedenken (1)

Mittel

SKILL.md:21-27 SKILL.md:32 usecases/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.

Risikofaktoren

⚙️ Externe Befehle (4)

SKILL.md:39 SKILL.md:40 SKILL.md:41 SKILL.md:45

Geprüft von: codex

Diesen Bericht teilen & zitieren

Teile den versionierten Bewertungsbericht, das neutrale Badge, die Einbettungskarte und Zitate. Skillstore berichtet Nachweise, ohne zu entscheiden, ob dieser Skill sicher ist.

Versionsbericht öffnen

Berichtslink kopieren

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

Markdown-Badge

[![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-Badge

<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>

Einbettungskarte

<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>

Wissenschaftliche Zitate (APA · BibTeX · CFF)

APA-Zitat

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-Zitat

@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-Score

Warum dieser Score Evidenzvertrauen: Mittel

Architektur

Wartbarkeit

Inhalt

Gemeinschaft

Spezifikationskonformität

Was Sie erstellen können

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.

Diese Prompts ausprobieren

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.

Bewährte Praktiken

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.

Vermeiden

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.

Häufig gestellte Fragen

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.