“methodology”的搜索结果

SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration

中文简介正在准备中。当前显示原文说明。

Use this skill to track recent and upcoming SMS methodology changes from FMCSA. Covers proposed rule changes, comment periods, and implementation timelines.

中文简介正在准备中。当前显示原文说明。

Use this skill when the user asks about FMCSA Compliance Safety Accountability (CSA) program scoring — the seven BASIC categories, BASIC Severity Indicator (BSI), peer percentiles, intervention thresholds, how violations age out, SMS Methodology, ISS (Inspection Selection System), what "alert" status means, Safety Measurement System mechanics, or DataQ disputes. Cite SMS Methodology v3.20.

中文简介正在准备中。当前显示原文说明。

Cognitive Systems Engineering design methodology for joint cognitive systems and human-centered automation

中文简介正在准备中。当前显示原文说明。

Methodology for eliciting expert knowledge about cognitive processes, decisions, and mental models in complex tasks

中文简介正在准备中。当前显示原文说明。

Systematic methodology for eliciting, representing, and operationalizing expert cognitive skills—pattern recognition, situation assessment, mental simulation—from practitioners without requiring research training. Bridges academic rigor and practical usability.

中文简介正在准备中。当前显示原文说明。

Systematic methodology for eliciting, representing, and operationalizing expert cognitive skills—pattern recognition, situation assessment, mental simulation—from practitioners without requiring research training. Bridges academic rigor and practical usability.

中文简介正在准备中。当前显示原文说明。

Deep-dive offensive methodology for dependency confusion and namespace attacks across all major package ecosystems. Covers npm scope confusion exploiting the gap between public and private scoped packages and .npmrc misconfigurations where registry mappings fail to pin internal scopes exclusively. Addresses PyPI namespace attacks through --extra-index-url resolution ordering, NuGet feed priority exploitation when multiple package sources are configured without clear directives, Maven and Gradle repository ordering where artifact resolution traverses repositories sequentially, Go module proxy abuse through GOPROXY misconfiguration, Ruby gems namespace squatting, and Docker image tag confusion with unqualified image references. Provides complete proof-of-concept methodology using safe callbacks including DNS canary via interactsh or Burp Collaborator and HTTP beacon with no destructive payload. Covers reconnaissance techniques for discovering internal package names through GitHub repository analysis, error ...

中文简介正在准备中。当前显示原文说明。

Cross-cutting methodology for the CVE-hunting pipeline (ported from find-cve-agent): when a bug is design-vs-real, false-positive avoidance, version checking before reporting, responsible disclosure norms, acceptance-rate expectations per vuln class, vulnerability chaining playbook, known false-positive patterns, maintainer-response patterns, secure-pattern reference (what NOT to flag), and a self-criticism checklist to run before claiming a finding. Use this alongside the cve-hunter/cve-exploiter/cve-validator agents and the /cve-hunt pipeline — load it whenever judging if a finding is real, worth reporting, or already fixed.

中文简介正在准备中。当前显示原文说明。

This skill should be used when the user asks to "learn ethical hacking", "understand penetration testing lifecycle", "perform reconnaissance", "conduct security scanning", "exploit vulnerabilities", or "write penetration test reports". It provides comprehensive ethical hacking methodology and techniques.

中文简介正在准备中。当前显示原文说明。

运用公开信息调查方法，将照片、视频和公开记录中的零散线索串联起来，核实地点、时间及组织关系，区分证据与假设，并整理反证和未确认事项。

• 核实公共场所照片的拍摄位置
• 从公开记录重建事件时间线
• 调查企业与域名的关系

按九个维度为筛选后的竞争对手评分，整理成附有依据的对比卡片和战略双轴图，查看各公司的优势，以及哪些竞争对手已进入自身目标区域。

• 按统一标准比较竞争对手
• 制作附有来源的竞争对手介绍卡片
• 在战略双轴图上定位竞争对手

按照先写测试的流程编写Rust单元、集成和异步测试，涵盖生成多样输入、替换依赖、性能基准测试与覆盖率检查，用于验证行为并补充未测试部分。

• 先写测试再开发Rust代码
• 为现有代码补充测试
• 验证异步操作与超时

支持编写和运行Perl测试、替换外部依赖、验证异常及测量代码覆盖率，也可用于测试先行的开发、失败原因排查和现有测试的迁移。

• 先写测试再开发Perl代码
• 迁移Test::More测试
• 独立验证API和数据库交互

使用pytest设计和编写Python测试，复用准备与清理步骤，模拟外部服务，以多组输入验证行为，并测量代码覆盖率、找出尚未验证的部分。

• 先写测试再开发Python功能
• 复用测试准备与清理步骤
• 模拟外部API进行验证

为Kotlin代码先编写测试，使用Kotest和MockK验证行为与依赖交互，涵盖异步测试、生成输入的属性测试及Kover覆盖率检查。

• 为现有Kotlin代码补充测试
• 先写测试再开发新功能
• 验证协程和Flow的行为

为尚未使用机器学习的现有应用梳理推荐、分类、预测等功能的引入步骤，从明确问题、检查数据到初始模型的训练、评估和集成。

• 为现有应用添加推荐功能
• 检查训练数据是否准备就绪
• 为预测功能设计备用规则

按先写测试的流程开发Go代码，支持多组用例、HTTP响应验证、性能基准测试、自动生成输入的模糊测试，以及查看测试执行范围的覆盖率检查。

• 先写测试再开发Go代码
• 补充正常与异常测试用例
• 比较运行时间和内存分配量

通过先写测试再实现功能的流程，验证Django模型、页面和API，涵盖测试数据生成、外部服务模拟及代码覆盖率，帮助确认功能行为与测试范围。

• 先写测试再开发Django功能
• 检查API认证和输入验证
• 准备可复用的测试数据

按共同标准为竞争对手的品牌表达、服务和实绩等评分，生成附有依据的比较卡片及战略双轴图，了解哪些对手已占据客户希望争取的位置。

• 按共同标准比较竞争对手
• 制作附有来源的竞争对手卡片
• 按两个战略目标定位竞争对手

Turn academic papers into structured reviews that explain findings, strengths, weaknesses, and research methods. Assess originality and supporting evidence, compare relevant literature, and provide specific improvement suggestions in a detailed review or brief summary.

中文简介正在准备中。当前显示英语简介。

• Understanding a paper's findings and limitations
• Preparing a draft peer review
• Checking experimental design and reproducibility

Research a topic across multiple web sources before writing articles, reports, or presentations. Gather facts, examples, and expert views, then check current information, competing perspectives, and limitations to build a well-supported understanding.

中文简介正在准备中。当前显示英语简介。

• Researching evidence before writing an article
• Gathering data and examples for presentation slides
• Comparing technologies and their limitations

Organize new features, complex implementations, and architecture changes into the SPARC stages: specification, pseudocode, architecture, refinement, and completion. Define requirements and acceptance criteria, consult existing patterns, and record lessons for future work.

中文简介正在准备中。当前显示英语简介。

• Defining requirements for a new feature
• Organizing a complex implementation
• Planning an architecture change

Use Reasonix to build or improve a Python command-line interface for existing software. The workflow covers source analysis, interactive commands, JSON output, tests, documentation, and installation checks using the software’s own backend where possible.

中文简介正在准备中。当前显示英语简介。

• Build command-line access to a GUI application
• Add missing features to an existing command-line interface
• Test commands against the actual software backend