Compétences measure-dont-guess

📦

measure-dont-guess

Name: measure-dont-guess
Author: masseater

Révision du contenu r1 Risque moyen ⚙️ Commandes externes

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.

Prend en charge: Claude Codex Code(CC)

📊 67 Adéquat

Maintain this Skill? Claim it 📊 67 Adéquat

Installer avec mon Agent

Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.

Demande d’agent

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.

Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.

Ressources lisibles par les agents

Utilisez ces liens lorsqu’un Agent IA, un crawler ou un script a besoin d’un contexte propre au lieu de lire toute la page.

Détail Markdown GET /skills/masseater-measure-dont-guess.md manifest signé GET /api/skills/masseater-measure-dont-guess/manifest lockfile signé GET /api/skills/masseater-measure-dont-guess/lockfile

Tester

Utilisation de « measure-dont-guess ». Illustrative request: Investigate intermittent checkout failures without assuming the database is responsible.

Résultat attendu:

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.

Utilisation de « measure-dont-guess ». Illustrative request: Determine whether caching improves a slow endpoint.

Résultat attendu:

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.

Audit de sécurité

Risque moyen

v1 • 24/10/2026 Ouvrir le rapport versionné

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.

Fichiers analysés

133

Lignes analysées

Éléments à examiner

Faux positifs ignorés

Préoccupations de sécurité confirmées (1)

Moyen

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.

Facteurs de risque

⚙️ Commandes externes (4)

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

Audité par: codex

Partager et citer ce rapport

Partagez le rapport d’évaluation versionné, le badge neutre, la carte intégrable et les citations. Skillstore présente les preuves sans décider si ce Skill est sûr.

Ouvrir le rapport versionné

Copier le lien du rapport

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

Badge Markdown

[![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)

Badge HTML

<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>

Carte intégrable

<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>

Citations académiques (APA · BibTeX · CFF)

Citation APA

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

Citation BibTeX

@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"

Score Skillstore

Pourquoi ce score Niveau de confiance des preuves: Moyen

Architecture

Maintenabilité

Contenu

Communauté

Conformité aux spécifications

Ce que vous pouvez créer

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.

Essayez ces prompts

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.

Bonnes pratiques

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.

Éviter

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.

Foire aux questions

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.