code-review-and-quality
78从五个质量维度审查代码
代码变更可能隐藏正确性、安全性、架构、可读性和性能问题。此技能采用结构化审查流程,并提供按优先级排列、可执行的反馈。
Instrument Production Systems with Clear Telemetry
Production teams need reliable evidence when services fail, slow down, or behave unexpectedly. This skill helps design useful logs, metrics, traces, alerts, and verification steps.
将此请求复制给你的智能体,其中包含权威 Skill 页面和清单。
Review the Skillstore skill "observability-and-instrumentation" from https://skillstore.io/skills/addyosmani-observability-and-instrumentation.md and its manifest at https://skillstore.io/api/skills/addyosmani-observability-and-instrumentation/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.你的智能体仍应展示其计划,并按安全策略请求必要确认。
当 AI Agent、爬虫或脚本需要干净上下文,而不是读取完整页面时,请使用这些链接。
正在使用“observability-and-instrumentation”。 A payment retry feature needs telemetry for success rate, permanent failures, and provider latency.
预期结果:
正在使用“observability-and-instrumentation”。 A team wants to page on CPU usage and label metrics with customer IDs.
预期结果:
Use user-facing error rate or latency for paging, and move customer identifiers to logs or traces. Keep metric labels bounded.
正在使用“observability-and-instrumentation”。 A service has alerts but no runbooks or staging verification.
预期结果:
All 41 static findings are false positives caused by Markdown backticks, documentation syntax, benign example code, or a relative reference. The reviewed skill contains no executable commands, credential exfiltration, unsafe file access, or prompt injection.
分享版本化评估报告、中性徽章、嵌入卡片和引用。Skillstore 只报告证据,不判断该 Skill 是否安全。
https://skillstore.io/skills/addyosmani-observability-and-instrumentation/audits/2?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/addyosmani-observability-and-instrumentation?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/addyosmani-observability-and-instrumentation?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/addyosmani-observability-and-instrumentation/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/addyosmani-observability-and-instrumentation.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>addyosmani. (2026). observability-and-instrumentation security audit report (audit version 2) [Author version unspecified]. Skillstore. https://skillstore.io/skills/addyosmani-observability-and-instrumentation/audits/2@techreport{addyosmani-addyosmani-observability-and-instrumentation-2026,
author = {addyosmani},
title = {observability-and-instrumentation security audit report (audit version 2)},
institution = {Skillstore},
year = {2026},
number = {2},
url = {https://skillstore.io/skills/addyosmani-observability-and-instrumentation/audits/2},
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: "observability-and-instrumentation security audit report (audit version 2)"
version: "unspecified"
type: report
authors:
- name: "addyosmani"
date-released: "2026-09-19"
url: "https://skillstore.io/skills/addyosmani-observability-and-instrumentation/audits/2"
identifiers:
- type: other
value: "skillstore:addyosmani-observability-and-instrumentation:audit:2"
description: "Skillstore immutable audit report identifier"
Define the endpoint questions, add structured logs, and select RED metrics with bounded labels.
Add correlation IDs, distributed tracing, and actionable alerts so on-call engineers can follow a failing request.
Use the verification checklist to assess telemetry coverage, secret handling, alert quality, and staging validation.
Review this feature description and list two to four questions an on-call engineer must answer. Map each question to a log, metric, or trace.
Design structured log events for this endpoint. Include stable event names, safe fields, log levels, correlation IDs, and entry-point attribution.
Create an observability plan for this service and its dependencies. Cover RED metrics, bounded labels, OpenTelemetry traces, sampling, and symptom-based alerts.
Review this instrumentation diff against the observability checklist. Identify missing signals, cardinality risks, sensitive data exposure, alert weaknesses, and staging tests.
作者
addyosmani许可证
MIT
Skillstore 修订
r2
版本提示
作者未声明版本。
引用
5d5054f8a23586f9b500fece1cb613a9dffc787b
维护新鲜度
2026/9/19
使用量
1 次下载 · 0 次浏览
文件结构
📄 SKILL.md
从五个质量维度审查代码
代码变更可能隐藏正确性、安全性、架构、可读性和性能问题。此技能采用结构化审查流程,并提供按优先级排列、可执行的反馈。
Clarify User Intent Before You Build
Underspecified requests cause teams to build the wrong outcome and discover misalignment late. This skill runs a focused, one-question interview that turns ambiguity into confirmed intent.
Plan Work Into Verifiable Tasks
Large or vague software work can hide dependencies, missing acceptance criteria, and verification gaps. This skill converts a specification into ordered task slices with checkpoints, scope guidance, and clear completion conditions.
Document Decisions and Architecture Clearly
Teams lose context when important technical decisions remain in chat, code comments, or individual memory. This skill turns architectural reasoning, API guidance, project instructions, and release changes into structured documentation.
Build Accessible, Production-Ready Frontends
Frontend work can become inconsistent, inaccessible, or difficult to maintain. This skill guides component architecture, responsive layouts, state handling, and polished user experiences.
Harden Applications Against Security Risks
Security reviews can miss trust boundaries and unsafe data flows. This skill supplies threat-modeling prompts, OWASP patterns, and practical review checklists.
添加 Python 可观测性模式
由 0xDarkMatter
Python 服务通常缺少一致的日志、指标和追踪模式。此技能为生产应用提供实用的 structlog、Prometheus 和 OpenTelemetry 示例。
使用 Span 指导跟踪 MEV 延迟
由 BarisSozen
MEV 系统中的延迟问题很难跨调用和交易阶段进行隔离。此技能可指导 span 层级结构、埋点、聚合和告警阈值。
使用 Application Insights 检测 Azure 应用
由 microsoft
为 Azure 托管的应用添加可靠遥测,在不同框架和部署模型中可能很困难。此技能提供简明的 Application Insights 设置指导、SDK 参考和 Azure 配置模式。
通过引导步骤部署 Kubernetes 工作负载
由 sickn33
Kubernetes 发布需要许多协调一致的制品和检查。此技能指导容器准备、清单、Helm charts、服务网格、安全性、可观测性和部署验证。
更快排查 DevOps 故障
由 sickn33
生产故障需要跨日志、指标、追踪和云平台进行快速分诊。此技能可指导结构化的 DevOps 调试、根因分析和恢复规划。
优化应用程序性能
由 sickn33
缓慢的系统会损害用户体验、可靠性并增加云成本。此技能可帮助诊断瓶颈、设计测试并规划可衡量的优化。