debug-production
76Debug Production Failures With Evidence
Production failures can be difficult to trace across errors, releases, logs, and affected users. This skill organizes the investigation and verification into seven steps.
Verify Release Health After Deployment
Release decisions can be difficult when error counts and traffic change together. Compare release evidence and receive a Go, Rollback, or Wait recommendation.
Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.
Review the Skillstore skill "verify-release" from https://skillstore.io/skills/logbrewco-verify-release.md and its manifest at https://skillstore.io/api/skills/logbrewco-verify-release/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.
Utilisez ces liens lorsquâun Agent IA, un crawler ou un script a besoin dâun contexte propre au lieu de lire toute la page.
Utilisation de « verify-release ». Assess a release with sufficient traffic and stable error rates.
Résultat attendu:
Decision: Go. Both releases have sufficient traffic, and the observed error rates are unchanged. No new issue affects a main user flow.
Utilisation de « verify-release ». Assess a release with too few traces for comparison.
Résultat attendu:
Decision: Wait. The new release has too little traffic for a reliable comparison. Recheck trace counts and error rates after more requests.
The static matches are Markdown formatting, a documented service endpoint, or release decision criteria rather than the alleged threats. The skill also directs deployment record creation and pipeline changes without explicit confirmation, which can affect production evidence.
Partagez le rapport dâĂ©valuation versionnĂ©, le badge neutre, la carte intĂ©grable et les citations. Skillstore prĂ©sente les preuves sans dĂ©cider si ce Skill est sĂ»r.
https://skillstore.io/skills/logbrewco-verify-release/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/logbrewco-verify-release?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/logbrewco-verify-release?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/logbrewco-verify-release/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/logbrewco-verify-release.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>logbrewco. (2026). verify-release security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/logbrewco-verify-release/audits/1@techreport{logbrewco-logbrewco-verify-release-2026,
author = {logbrewco},
title = {verify-release security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/logbrewco-verify-release/audits/1},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "verify-release security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "logbrewco"
date-released: "2026-10-27"
url: "https://skillstore.io/skills/logbrewco-verify-release/audits/1"
identifiers:
- type: other
value: "skillstore:logbrewco-verify-release:audit:1"
description: "Skillstore immutable audit report identifier"
Compare error rates and new issues before continuing a rollout.
Review traffic and failure evidence to decide whether to wait or roll back.
Compare supplied request and error counts when LogBrew tools are unavailable.
Check whether release [release] is safe to continue.
Compare [new release] with [previous release] for [service] in [environment]. Report the evidence and decision.
Compare these equal-length windows: [new counts] and [previous counts]. Include traffic, errors, new error types, and deploy times.
Assess [release] against [previous release] using [team traffic threshold]. Report new issues, normalized error logs, trace rates, limitations, and next checks.
Auteur
logbrewcoLicence
MIT
Révision Skillstore
r1
Avis de version
Lâauteur nâa dĂ©clarĂ© aucune version.
Réf
07bd35e828bc5e79e3fd7ad19a1298e33cdbb753
Récence de maintenance
27/10/2026
Utilisation
0 téléchargements · 0 vues
Structure de fichiers
Debug Production Failures With Evidence
Production failures can be difficult to trace across errors, releases, logs, and affected users. This skill organizes the investigation and verification into seven steps.
Instrument Your App with LogBrew
Application errors and logs can be difficult to trace across deployments. This skill configures LogBrew instrumentation and checks that a test event can be read back.
Instrumenter les applications Azure avec Application Insights
par microsoft
Ajouter une tĂ©lĂ©mĂ©trie fiable aux applications hĂ©bergĂ©es sur Azure peut ĂȘtre difficile selon les frameworks et les modĂšles de dĂ©ploiement. Cette compĂ©tence fournit des conseils concis de configuration dâApplication Insights, des rĂ©fĂ©rences SDK et des modĂšles de configuration Azure.
Automatiser les pipelines DevOps et les déploiements
par alirezarezvani
Le travail DevOps nĂ©cessite souvent des modĂšles rĂ©pĂ©tables de pipeline, dâinfrastructure et de dĂ©ploiement. Cette compĂ©tence fournit des scripts et des guides de rĂ©fĂ©rence pour le CI/CD, lâIaC, le dĂ©ploiement et la revue des opĂ©rations.
Déployer des charges de travail Kubernetes avec des étapes guidées
par sickn33
Les releases Kubernetes nĂ©cessitent de nombreux artefacts et contrĂŽles coordonnĂ©s. Cette compĂ©tence guide la prĂ©paration des conteneurs, les manifestes, les charts Helm, le service mesh, la sĂ©curitĂ©, lâobservabilitĂ© et la validation du dĂ©ploiement.
Ajouter des patterns dâobservabilitĂ© Python
par 0xDarkMatter
Les services Python manquent souvent de patterns cohérents pour la journalisation, les métriques et le traçage. Cette compétence fournit des exemples pratiques avec structlog, Prometheus et OpenTelemetry pour les applications de production.
Coordonner la livraison DevOps
par Brownbull
Le travail DevOps couvre souvent les pipelines, lâinfrastructure, la surveillance et les dĂ©cisions de dĂ©ploiement. Cette compĂ©tence organise ces tĂąches en checklists, transmissions et plans de dĂ©ploiement.
Générer des manifestes Kubernetes en toute sécurité
par sickn33
Les manifestes Kubernetes sont faciles à mal configurer lorsque les équipes les écrivent de mémoire. Cette compétence transforme les exigences en recommandations YAML structurées avec sécurité, probes, ressources et modÚles de Service.