'coverage' 검색 결과

Check website behavior across Chrome, Firefox, Safari, and Edge, and fix browser-specific problems. Review desktop and mobile test coverage alongside CI, the automated checks run during development, to identify gaps that let regressions pass.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking layouts and features across major browsers
• Reviewing desktop and mobile browser test coverage
• Finding gaps in automated browser checks

Analyzes one .NET project to plan integration tests for an Oracle-to-PostgreSQL migration. Identifies database access methods, prioritizes migration risks, and documents test cases, seed data, and coverage, including empty strings, NULL values, and timezone behavior.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Identifying database access methods that need integration tests
• Prioritizing tests for Oracle-specific behavior
• Planning checks for empty strings, NULL values, and timezones

Identify runtime signs of attackers breaking out of Docker or Kubernetes containers. Review namespace changes, privilege abuse, sensitive host access, and unusual system calls to guide incident investigations and compare monitoring coverage across security tools.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating a suspected Docker or Kubernetes container escape
• Choosing runtime behaviors to monitor for escape attempts
• Comparing escape detection coverage across security sensors

Map threat groups’ documented attack techniques in MITRE ATT&CK Navigator. Creates visual layers and heatmaps, compares groups, and highlights techniques missing from existing detection coverage to support security reporting and decisions about detection priorities.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Visualizing a threat group's attack techniques
• Comparing techniques shared by multiple threat groups
• Finding gaps in existing detection coverage

Plan tests for APIs, interfaces, data pipelines, and infrastructure. Choose suitable test types, prioritize critical behavior, and produce a plan with coverage targets and example cases while balancing thoroughness, execution speed, and maintenance effort.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning tests for a new feature
• Finding gaps in existing test coverage
• Choosing test types for APIs and interfaces

Creates test starters for React and Next.js applications and analyzes coverage reports to find untested code. Supports unit, integration, and browser-based tests, simulated API responses, reusable test data, and test runner configuration.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Generating test starters for React components
• Finding untested code before a release
• Creating browser tests from Next.js routes

Create or improve unit tests for Apache ShardingSphere classes. Cover the target class’s behavior and affected branches, verify explicitly requested coverage goals, and consolidate suitable scenarios into parameterized tests, which run the same checks with different inputs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add missing unit tests for a target class
• Verify an explicitly requested coverage target
• Consolidate suitable tests with different input data

Review code changes and files for bugs, security risks, performance problems, design issues, and test coverage. Receive a structured report with prioritized findings, concrete improvement examples, positive feedback, and an overall review verdict.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a pull request
• Auditing code quality and security
• Finding refactoring opportunities

Choose a feature design using the relevant code, requirements, and existing conventions. Record the chosen approach, alternatives, risks, and coverage of key user journeys, and identify decisions that need human input before implementation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choose an implementation approach before coding
• Document alternatives and reasons for rejecting them
• Check coverage of key user journeys

Audit a completed AI development phase to check whether its planned evaluations were implemented. Produce EVAL-REVIEW.md with a score, verdict, identified gaps, and a plan to address missing coverage.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review evaluation coverage after an AI phase is complete
• Check implemented evaluations against AI-SPEC.md
• Document evaluation gaps and remediation steps

Plan tests for APIs, interfaces, data pipelines, and infrastructure. Choose suitable test types, prioritize critical behavior, and produce a plan with coverage targets and example cases while balancing thoroughness, execution speed, and maintenance effort.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning tests for a new feature
• Finding gaps in existing test coverage
• Choosing test types for APIs and interfaces

Add documents, interview notes, or observations to an open investigation. Process batches against documented selection criteria, surface significant items, and log everything reviewed so the team can verify coverage and update its source checklist.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add interview notes to an open investigation
• Process a newly received batch of documents
• Add an email export to an investigation

Turn a Bifrost PR or GitHub issue into API regression tests that catch recurring bugs. Review existing coverage, add cases to the Postman collection, and validate collection processing and provider filtering.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Add regression coverage for a merged PR
• Turn an issue's reproduction steps into API tests
• Test streaming and non-streaming responses

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

Generates cryptographic test vectors, inputs with expected outcomes, by deliberately changing implementation code and finding changes existing tests miss. Verifies new vectors across independent implementations and compares detection rates before and after adding them.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Finding coverage gaps in cryptographic test vectors
• Creating invalid inputs that exercise validation checks
• Building test vectors shared across independent implementations

Reviews code changes for security risks using Git history, caller counts, and test coverage. Produces a Markdown report with evidence, potential attack scenarios, affected code, and clear limits on what was reviewed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing a pull request for security risks
• Checking whether a fixed bug has returned
• Assessing which callers a change could affect

Plan and run fuzz testing, which feeds varied inputs to software to uncover bugs. The skill guides tool selection, test harness creation, input collection, coverage measurement, and crash triage for parsers, protocols, kernels, and other targets.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Planning fuzz tests for a file parser
• Preparing test harnesses and seed inputs
• Investigating stalled test coverage

Build initial research reports on publicly traded companies, connecting an investment thesis with forecasts, valuation, and risks. Organize supporting sources, distinguish evidence from assumptions, and identify missing information and questions requiring further research.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Start research coverage of a publicly traded company
• Organize an investment thesis and evidence that could disprove it
• Plan forecasts and valuation analysis

Plan or run targeted DNA panel analysis using UMIs, barcodes that identify DNA molecules. Organize consensus reads, coverage checks, and low-frequency variant results with molecular support, filtering reasons, and explicit quality limitations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Plan a targeted DNA panel workflow using UMIs
• Review molecular depth and target coverage
• Check evidence supporting low-frequency variants

Write and configure unit tests, which check individual pieces of code, using Vitest. Replace dependencies with test substitutes, measure code coverage, compare saved outputs, and organize filtered or parallel test runs.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Write unit tests for TypeScript code
• Replace functions and timers with test substitutes
• Measure coverage and compare saved outputs

Choose and optionally run .NET test commands that match the project's SDK, test platform, and framework. Target specific tests, collect reports or diagnostics, and report execution results using syntax appropriate to the repository.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Getting an exact test command for a repository
• Running a specific class, category, or target framework
• Collecting TRX reports, coverage, or diagnostic logs

Find changes in observable behavior that existing tests could miss. Map public results to test assertions, identify gaps in boundaries, permissions, and calculations, and propose focused tests, with optional verification when requested.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check whether existing tests would catch a bug
• Find missing boundary and permission-denial tests
• Review exact amounts and rounding in financial calculations

Add custom Go code checkers to gh-aw, with guidance on tests, registration, and running all checks. Handle equivalent syntax consistently and optionally limit performance rules using test coverage, which records which code tests execute.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a custom Go code checking rule
• Testing rules against equivalent syntax forms
• Registering a checker in the shared runner

Predict patterns of gene expression and other genomic measurements from DNA sequences with Borzoi. Compare reference and altered sequences to estimate regulatory effects, generate predicted coverage tracks, and prioritize variants in regions that do not encode proteins.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Comparing predicted effects before and after a DNA variant
• Generating predicted coverage tracks for a genomic region
• Prioritizing variants in non-coding regions