“traces”的搜索结果

使用模拟环境或真实服务运行OpenClaw质量验证场景，调查并修复失败原因、检查结果报告，还可比较多个模型的表达方式和角色表现。

• 在模拟环境或真实服务中运行质量验证
• 调查失败场景并重新验证
• 比较多个模型的角色表现

从代码仓库中查找可通过外部请求或用户输入利用的漏洞，追踪输入到危险操作的路径，验证复现步骤与影响，并整理漏洞奖励计划所需的报告依据。

• 调查外部请求可触达的漏洞
• 复核静态分析结果
• 整理最小复现步骤与影响

使用Playwright编写重现浏览器操作的测试，整理可复用的页面操作并支持自动运行，也帮助排查偶发失败，保存截图、视频和执行记录。

• 检查登录与搜索流程
• 整理各页面可复用的测试操作
• 排查偶发失败的测试

梳理持续运行的 AI 智能体的启停、日志监控、权限管理、分阶段更新与回滚流程，支持故障响应，以及成功率、重试次数、恢复时间和成本评估。

• 设计持续运行智能体的运维流程
• 应对失败次数突然增加
• 制定更新和回滚步骤

为生产功能设计日志、指标、跨服务追踪和告警，记录请求标识与处理起点，并验证实际输出和通知，帮助了解运行状态及故障原因。

• 完善生产功能的监控信息
• 关联不同服务的日志
• 审查告警与响应操作手册

读取claude-mem中保存的开发历史，生成叙事报告，梳理设计演变、难题解决和工作模式，并提供时间统计及复用记忆所节省的词元估算。

• 回顾项目的开发历程
• 追溯设计决策及其影响
• 了解故障排查和工作模式

根据Archify生成的实际图表和代理工作记录，评估准确性、可读性及完成时间，通过前后对比实验改进布局、连线路径和制作流程。

• 比较图表布局和连线路径
• 调查反复修改图表的原因
• 验证图表制作流程的改进

引导完成GAIA智能体性能评估，从环境检查、费用估算到评估运行和结果比较，并制作经过审计、带签名且兼容HAL的提交包，保存结果、费用和经验记录。

• 评估前检查GAIA运行环境
• 估算费用后运行评估
• 将已有结果整理为提交包

逐项调整AI智能体的规划、记忆和工具使用等运行策略，在隔离环境中评估每个候选方案，仅采用经实际测量确认有改进的方案。

• 寻找能提高评估分数的策略
• 探索新领域的初始配置
• 比较手动调整与探索结果

Create a substantial technical manual for one exact system version. Organize authoritative sources, record offline inputs and outputs, explain behavior with figures, and audit the text and supporting evidence for consistency.

中文简介正在准备中。当前显示英语简介。

• Documenting a protocol or file format at a fixed version
• Building reproducible offline request and response records
• Adding a section with figures and traceable sources

Automate forms, clicks, screenshots, and website checks in a browser where you are already signed in. A separately launched browser also supports scraping and network capture, while login or verification steps can be handed to a person.

中文简介正在准备中。当前显示英语简介。

• Fill forms on websites where you are already signed in
• Capture screenshots and check website behavior
• Record network traffic in a separately launched browser

Guide implementation and debugging of visual Sequence editing in Remotion Studio. It documents how sequence identifiers, node paths, and stack traces behave during hot reload, and suggests how to track expanded UI state.

中文简介正在准备中。当前显示英语简介。

• Debug Sequence identity during hot reload
• Review how expanded Sequence state is tracked
• Check node-path and stack-trace mappings

Operate NVIDIA Nsight Graphics from the command line to capture application frames and GPU activity. Summarize performance traces, analyze existing capture files through ngfx-replay, and check installed versions and compatibility before starting an investigation.

中文简介正在准备中。当前显示英语简介。

• Check installed Nsight Graphics versions and compatibility
• Capture frames from a graphics application
• Summarize GPU activity and investigate performance bottlenecks

Reconstruct how an AI coding agent produced a feature, pull request, or report using local ax records. Connect sessions, commits, skills, and tool activity into an evidence-based sequence with key decisions, checks, and a repeatable recipe.

中文简介正在准备中。当前显示英语简介。

• Tracing how a shipped feature was built
• Reconstructing development from a commit
• Finding the workflow behind work done on a known date

Audit an AI agent's completion claims using existing logs, artifacts, approvals, and deployment records. Reconstruct the run and assess each claim separately, distinguishing proven results, partial support, contradictory evidence, and missing proof without rerunning the work.

中文简介正在准备中。当前显示英语简介。

• Checking whether an agent's completion report has supporting evidence
• Reviewing tool calls, retries, and checkpoint recovery
• Matching approvals and deployments to the same artifact

Understand a codebase before searching for bugs or vulnerabilities. This skill examines functions line by line, documents assumptions and state changes, and traces calls across modules to build an evidence-based picture of system behavior.

中文简介正在准备中。当前显示英语简介。

• Understanding a codebase before a security audit
• Tracing data and state changes across function calls
• Documenting assumptions for an architecture review

Add Application Insights monitoring to browser apps to record page views, clicks, network requests, and errors. Also covers custom measurements and tracing generative AI operations across browser and backend code to investigate behavior and performance.

中文简介正在准备中。当前显示英语简介。

• Monitoring page views and clicks in a browser app
• Recording network requests and application errors
• Linking browser activity to backend traces

Trace mailbox abuse in a CTF sandbox, a controlled security challenge environment. The skill connects OAuth permissions, forwarding rules, delegated access, and message logs to concrete mail effects, documenting the smallest reproducible sequence and supporting evidence.

中文简介正在准备中。当前显示英语简介。

• Trace how OAuth consent enables mailbox access
• Investigate forwarding and inbox rule effects
• Verify shared mailbox and delegated access

Review suspicious emails for phishing and business email fraud by examining sender authentication, message content, links, and attachments. Organize indicators of compromise, which are traces of malicious activity, and recommend controls for the email environment.

中文简介正在准备中。当前显示英语简介。

• Investigating a suspected phishing email
• Reviewing SPF, DKIM, and DMARC settings
• Checking for business email fraud

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.

中文简介正在准备中。当前显示英语简介。

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

Build end-to-end tests with Playwright and Cypress to check complete user workflows, such as login and checkout. Improve test reliability through stable element selection, independent test data, appropriate waits, and debugging with traces and screenshots.

中文简介正在准备中。当前显示英语简介。

• Automate tests for login and checkout workflows
• Investigate tests that fail intermittently
• Run browser tests in CI/CD pipelines

Set up monitoring for communication between services in Istio or Linkerd environments. Combine metrics, logs, and distributed traces, which follow requests across services, to investigate delays and errors, visualize dependencies, and define service quality targets.

中文简介正在准备中。当前显示英语简介。

• Trace requests across multiple services
• Create communication metrics and dashboards
• Investigate latency, errors, and connectivity issues

Turn current, prior-period, and budget figures into a financial variance commentary table. It identifies lines needing explanation, traces changes to underlying business activity, and adds a short narrative covering the period's largest movements.

中文简介正在准备中。当前显示英语简介。

• Preparing month-end close commentary
• Explaining actual results against budget
• Reviewing major balance-sheet movements

Use OpenViking through OpenClaw to manage long-term memories, search archived conversations, and find imported resources or Agent Skills. Inspect recall traces to understand search results and recover full tool outputs stored outside the conversation.

中文简介正在准备中。当前显示英语简介。

• Recall past preferences and decisions
• Find exact commands in archived conversations
• Import and search documents or Agent Skills