'validation' 검색 결과

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

NestJS의 API와 서비스를 설계하고 검토합니다. 기능별 코드 구조, 입력 검증, 인증, 예외 처리, 환경 설정과 테스트를 정리해 실제 운영을 위한 구현을 돕습니다.

• NestJS API 구조 설계
• 입력 검증과 접근 제어 구현
• 예외 처리와 환경 설정 검토

Build data quality checks with Great Expectations, dbt tests, and data contracts, which define shared expectations between teams. Check missing values, duplicates, and freshness, then integrate validation into data pipelines and CI/CD.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check data for missing values and duplicates
• Build a dbt test suite
• Define shared data contracts between teams

Review source code for MCP, a protocol connecting AI applications to tools. Check authentication, input validation, unsafe execution, and other security risks, then report findings with file and line references and separate manual follow-ups.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing an MCP server before release
• Checking authentication and validation on a network-exposed server
• Auditing tool code for unsafe execution paths

Identify checks and changing global state that block fuzzing, then adjust them in fuzzing builds. The skill covers targeted validation bypasses, repeatable behavior, coverage comparisons, and checks for false crash reports introduced by patches.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Getting past checksum or hash checks during fuzzing
• Making time-seeded random behavior repeatable
• Comparing code coverage before and after a patch

[omh] Unvalidated early product idea: test whether a customer problem, segment, and business hypothesis deserve product investment, ending in kill, pivot, persevere, or inconclusive before any PRD. Use when the user says: product-discovery-validation, product discovery validation, product discovery, customer discovery, customer discovery plan, zero to one validation, validate the problem before building, problem solution interview.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generates complete NHANES-style cross-sectional epidemiology + retrospective clinical validation research designs from a user-provided disease and biomarker direction. Always use this skill whenever a user wants to design, plan, or build a population-level biomarker association study using NHANES or similar survey datasets, especially when the article logic includes disease definition, biomarker formula derivation, multivariable logistic regression, restricted cubic spline analysis, subgroup stability testing, and a secondary hospital-based retrospective validation cohort. Covers five study patterns (cross-sectional association, dose-response / RCS, subgroup-stability, NHANES + retrospective validation, preliminary screening-performance) and always outputs four workload configs (Lite / Standard / Advanced / Publication+) with recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, publication upgrade path...

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generates complete comorbidity-oriented shared-biomarker bioinformatics research designs from a user-provided disease pair and validation direction. Use when a study links two clinically related diseases through shared DEGs, enrichment, PPI hub genes, machine-learning feature selection, public diagnostic validation, gene-regulatory networks, immune infiltration, and optional downstream follow-up. Covers five study patterns (shared-DEG discovery, hub-gene prioritization, machine-learning biomarker selection, immune/regulatory interpretation, multi-layer validation) and always outputs Lite / Standard / Advanced / Publication+ with a recommended primary plan, stepwise workflow, figure plan, validation hierarchy, minimal executable version, publication upgrade path, and strictly verified literature retrieval.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generates complete process-related diagnostic biomarker bioinformatics research designs from a user-provided disease context, gene-family or pathway theme, and validation direction. Use when a study centers on process-related genes, DEG and WGCNA integration, machine-learning feature selection, nomogram-based diagnostic modeling, immune infiltration, regulatory-network analysis, and optional external or experimental validation. Covers five study patterns (process-DEG discovery, co-expression-module integration, machine-learning biomarker selection, diagnostic model/nomogram workflow, immune-regulatory interpretation and validation) and always outputs Lite / Standard / Advanced / Publication+ with a recommended primary plan, stepwise workflow, figure plan, validation hierarchy, minimal executable version, publication upgrade path, and strictly verified literature retrieval.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Extends a mechanistic or association-level biomedical finding into a staged validation pathway that moves from descriptive evidence toward stronger functional support, mechanistic specificity, and clinical relevance. Use this skill when a user has a pathway, biomarker, cell-state, target, mechanism, or association finding and needs to decide what should be validated next, in what order, and which evidence layers are necessary versus optional. Do not default to maximal validation stacks. Build a structured validation ladder with a primary route, stronger upgrade route, and optional extensions.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Creates reusable Zod v4 schemas, validates API payloads, forms, and configuration input, transforms and coerces data safely, and handles validation errors with strong type inference for TypeScript applications. Use when designing validation layers, parsing `z.string()`, `z.object()`, or `z.email()` schemas, or implementing runtime type-safe data validation.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

TypeScript-first schema validation and type inference. Use for validating API requests/responses, form data, env vars, configs, defining type-safe schemas with runtime validation, transforming data, generating JSON Schema for OpenAPI/AI, or encountering missing validation errors, type inference issues, validation error handling problems. Zero dependencies, compact core (~5kb gzipped; zod/mini ~1.9kb).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Define runtime-validated types with ArkType — TypeScript's 1:1 validator. Use when someone asks to "validate data in TypeScript", "runtime type checking", "ArkType", "type-safe validation", "alternative to Zod", "faster validation library", or "validate with TypeScript syntax". Covers type definitions, validation, morphs (transforms), scopes, and comparison with Zod.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generates FluentValidation validators for commands and queries. Includes common validation rules, custom validators, async validation, and integration with MediatR pipeline behaviors.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when building or reviewing substantial forms with React Hook Form, Zod schemas, typed validation, dynamic fields, controlled third-party inputs, file upload, multi-step flows, dependent validation, or form performance. Do not use for trivial 1-3 field forms without validation; Chinese triggers include form, form validation, dynamic fields.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Redis caching patterns, cache-aside, write-through, TTL strategies, and invalidation. Activate on: caching, Redis, cache invalidation, cache-aside, write-through, TTL, CDN cache, stale-while-revalidate. NOT for: CDN/reverse proxy setup (use api-gateway-reverse-proxy-expert), database query optimization (use data-warehouse-optimizer).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Exploratory data-migration validation and QA ideation workflow. Use when you need to discover hidden risks, generate new validation angles, and converge mapping specs/validation reports into a prioritized QA backlog for CRM migrations. Version 2.0, updated 2025-12-28.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Implement API schema validation using OpenAPI specifications and JSON Schema to enforce input/output contracts and prevent injection, data exposure, and mass assignment attacks.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Implements input and output validation guardrails for LLM-powered applications to prevent prompt injection, data leakage, toxic content generation, and hallucinated outputs. Builds a security validation pipeline using NVIDIA NeMo Guardrails Colang definitions, custom Python validators for PII Tespit and content policy enforcement, and the Guardrails AI framework for structured output validation. The guardrails system intercepts both user inputs (blocking injection attempts, stripping PII, ...

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Redis caching patterns, cache-aside, write-through, TTL strategies, and invalidation. Activate on: caching, Redis, cache invalidation, cache-aside, write-through, TTL, CDN cache, stale-while-revalidate. NOT for: CDN/reverse proxy setup (use api-gateway-reverse-proxy-expert), database query optimization (use data-warehouse-optimizer).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Perl 코드의 입력 처리, 파일 작업, 외부 명령, SQL과 웹 출력을 점검합니다. 구체적인 예시와 점검표에 따라 안전한 구현으로 수정합니다.

• Perl 입력 검증을 점검합니다
• 파일 작업과 명령 실행을 확인합니다
• DBI의 SQL 삽입 공격에 대비합니다

Quarkus 앱의 인증, 접근 권한, 입력 검증을 구현하고 점검합니다. 비밀 정보 관리, 비밀번호 해싱, 요청 제한, 감사 로그와 의존성의 알려진 취약점도 다룹니다.

• Quarkus API에 JWT 또는 OIDC 인증 추가
• 역할별 권한과 데이터 소유자 확인 점검
• 입력 검증과 데이터베이스 조회 검토

AI 어시스턴트에 외부 기능과 데이터를 제공하는 MCP 서버의 구축과 유지보수를 돕습니다. Node/TypeScript 기능 등록, 입력 검증, 통신 방식 선택을 다룹니다.

• AI용 MCP 서버를 구축할 때
• 작업, 데이터, 지시 템플릿을 추가할 때
• 로컬과 원격 연결 방식을 선택할 때

전자 의무기록에 임상 의사결정 지원을 구현합니다. 약물 상호작용, 용량 검증, 임상 점수 계산과 경고 심각도별 화면 동작 및 누락 검증 테스트를 다룹니다.

• 약물 상호작용과 알레르기 확인 구현
• 환자 정보에 따른 용량 검증
• NEWS2 등 임상 점수 구현