'logging' 검색 결과

Enforces consistent structured logging with request correlation IDs, standardized log schema, middleware integration, and best practices. Use for "structured logging", "log standardization", "request tracing", or "log correlation".

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Java Spring Boot 서비스의 인증, 접근 권한, 입력 검증 등 보안 대책을 검토합니다. 비밀 정보 관리부터 API 호출 제한과 의존성까지 확인합니다.

• 인증과 접근 권한을 추가합니다
• API 입력 검증과 SQL을 검토합니다
• CSRF와 CORS 설정을 확인합니다

Django 배포나 변경 제안 전에 환경, 코드 품질, 데이터베이스 변경, 테스트, 취약점과 설정을 순서대로 검증하고 단계별 통과 여부와 수정할 문제를 보고합니다.

• Django 변경 제안 전에 확인할 때
• 데이터베이스 마이그레이션을 확인할 때
• 테스트 커버리지 목표를 확인할 때

Enable debug logging in the current Claude Code session, inspect errors and warnings after reproducing a problem, and get a plain-language explanation of findings with concrete fixes or next steps.

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• Investigating errors in a Claude Code session
• Reviewing warnings after reproducing a problem
• Diagnosing issues with background sessions

Set up AWS CloudTrail to record activity across accounts, protect audit logs, and alert on sensitive operations. Includes guidance for querying past events with Athena or CloudTrail Lake and checking log integrity during investigations.

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• Set up audit logging across AWS accounts
• Investigate suspicious API activity
• Configure alerts for sensitive operations

Implement and review API security within an application's existing authentication and data model. Covers token verification, resource permissions, input validation, request limits, secrets, and logging, with concrete checks for unauthorized access and invalid requests.

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• Add authentication and permissions to an API endpoint
• Check access across users and tenant organizations
• Validate request inputs and reject extra fields

Add structured logs, performance metrics, and traces that follow requests across Python services. Establish consistent log fields and request IDs so production failures can be investigated using recorded activity and service health signals.

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• Adding searchable JSON logs
• Collecting service metrics with Prometheus
• Following requests across multiple services

Guide the design and review of software that handles personal data using GDPR engineering practices. Covers minimal data collection, access controls, logging, encryption, retention, deletion, and checks for code changes and infrastructure.

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• Reviewing APIs and data models that handle personal data
• Checking logs for sensitive information
• Designing retention and user data deletion processes

Generate Python code for Dataverse integrations with error handling, retries, logging, and shared connection management. Include type hints, usage examples, and queries that retrieve only the records and columns needed for the task.

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• Build Python integrations with Dataverse
• Add retries and logging to API operations
• Limit retrieved records and columns

Strengthen LDAP and Active Directory services by reviewing encrypted connections, signing, channel binding, access controls, and audit logging. Use the guidance to organize security settings, validate them in a test environment, and document implementation evidence.

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• Reviewing LDAP or Active Directory security settings
• Organizing encrypted connections and authentication protections
• Checking audit logging and monitoring arrangements

Analyze Windows PowerShell event logs to reconstruct scripts split across records and identify encoded commands, suspicious downloads, and security scanning bypass attempts. Produce a report with recovered scripts, risk scores, and mappings to documented attack techniques.

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• Investigating suspicious PowerShell activity
• Reconstructing scripts split across log records
• Finding encoded commands and suspicious downloads

Use W&B to record machine learning experiments, visualize training, and compare results. The skill also covers automated searches for training settings and version tracking for datasets and models, helping teams share experiments and trace their inputs.

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• Logging training metrics and viewing progress in real time
• Comparing experiments with different training settings
• Searching automatically for better training settings

Handle website tasks in Dot’s Firefox browser, including logging in, reading pages, filling forms, and clicking through workflows. Separate browser profiles preserve each account’s cookies and login state between sessions.

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• Log in and read information on a website
• Fill out and submit website forms
• Keep browser profiles separate for different accounts

Audit Python SDK logs, exceptions, and telemetry for sensitive data exposure. Trace values to their sources, fix confirmed leaks, and test that redaction hides sensitive information while preserving the caller's expected behavior.

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• Audit logs and exceptions for sensitive data exposure
• Fix leaks involving model or tool data
• Test redaction and caller behavior

Set up an organization-wide Google Cloud foundation with 17 baseline security policies, environment folders and projects, billing links, and centralized audit logging and monitoring. Check the resulting setup against a defined validation checklist.

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• Set up the initial foundation for a Google Cloud organization
• Organize production, non-production, and development resources
• Apply baseline security policies across an organization

Review Google Cloud operations and develop guidance for monitoring, incident response, resource sizing, and automated deployments. Use framework-based questions and checklists to identify gaps in production readiness and plan ongoing operational improvements.

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• Reviewing production readiness
• Planning monitoring and logging
• Improving incident response procedures

Investigate crashes, out-of-memory errors, and device initialization failures on GKE TPU v6e nodes. The skill checks logs and custom metrics collection for conflicting operations, then guides temporary mitigation by disabling an identified collector.

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• Investigate vbar_control_agent crashes and memory exhaustion
• Check tpu-device-plugin metrics checksum errors
• Inspect conflicts with custom TPU metrics collectors

Diagnose GKE nodes marked NotReady or Unknown using node conditions, events, logs, and resource metrics. The skill gathers evidence, distinguishes temporary transitions from faults, and proposes fixes for a person to apply.

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• Investigate persistent NotReady or Unknown node status
• Check why kubelet stopped reporting node status
• Investigate evictions or Pending Pods linked to node health

Helps implement iii workers in Node.js, browsers, Python, and Rust with language-specific guidance on installation, function registration, calls, data channels, and logging. Explains package choices and connection constraints for each environment.

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• Choosing the iii SDK for a runtime
• Implementing asynchronous calls in Python
• Connecting a browser app to backend functions

Launch machine learning experiments on local GPUs, remote servers, Vast.ai, or Modal. It checks the configured environment, deploys code, saves logs, and verifies startup, with optional W&B metric logging and automatic Vast.ai result collection and instance cleanup.

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• Run training jobs on a local GPU
• Deploy experiments to an SSH server
• Run experiments on Vast.ai and collect results

Track machine learning experiments with SwanLab by recording training settings, metrics, and media such as images and audio. Learn to compare runs, inspect training charts, and connect existing training code to local, cloud, or self-hosted dashboards.

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• Comparing experiments with different training settings
• Viewing training metrics in a local dashboard
• Logging sample images and audio alongside metrics

Organize PyTorch training code with LightningModule and Trainer. This skill guides training, validation, logging, model checkpoint saving, early stopping when progress stalls, and configuration for running the same model across multiple GPUs.

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• Organize existing PyTorch training code
• Add validation and metric logging
• Save the best models and stop stalled training

Save web pages as clean Markdown with source details such as title, author, and capture date. Chrome renders JavaScript content, while a wait mode lets you finish logging in or loading content before capture.

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• Archive web articles for a local knowledge collection
• Save pages after logging in
• Capture content rendered with JavaScript

Audit or fix sensitive-data exposure in JS SDK diagnostics, exceptions, logging, and telemetry.

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