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Builds SOC performance metrics and KPI tracking dashboards measuring Mean Time to Detect (MTTD), Mean Time to Respond (MTTR), alert quality ratios, analyst productivity, and detection coverage using SIEM data. Use when SOC leadership needs operational visibility, continuous improvement tracking, or executive-level reporting on security operations effectiveness.
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Implement a phishing report button in email clients with automated triage workflow that analyzes user-reported suspicious emails and provides feedback to reporters.
中文简介正在准备中。当前显示原文说明。
Validates predictive models on omics and biomedical data with nested cross-validation, group/batch/temporal-aware splits, the full data-leakage taxonomy, probability calibration, decision-curve net benefit, optimism correction, sample-size planning, and TRIPOD+AI reporting. Use when estimating model performance honestly, choosing a CV scheme, detecting leakage, or judging whether reported discrimination means the model is actually useful. For feature selection itself see machine-learning/biomarker-discovery; for confirmatory-trial inference see clinical-biostatistics/trial-reporting.
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Guided statistical analysis with test selection and reporting. Use when you need help choosing appropriate tests for your data, assumption checking, power analysis, and APA-formatted results. Best for academic research reporting, test selection guidance. For implementing specific models programmatically use statsmodels.
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Use this skill when the user asks about Environmental Health & Safety (EHS) for trucking — fuel spill response, hazmat release reporting, EPA + state environmental reporting, emergency contact information (CHEMTREC), environmental impairment liability insurance, and how to handle a CMV-related environmental incident. Cite 40 CFR + 49 CFR 174.6.
中文简介正在准备中。当前显示原文说明。
Builds SOC performance metrics and KPI tracking dashboards measuring Mean Time to Detect (MTTD), Mean Time to Respond (MTTR), alert quality ratios, analyst productivity, and detection coverage using SIEM data. Use when SOC leadership needs operational visibility, continuous improvement tracking, or executive-level reporting on security operations effectiveness.
中文简介正在准备中。当前显示原文说明。
Implement a phishing report button in email clients with automated triage workflow that analyzes user-reported suspicious emails and provides feedback to reporters.
中文简介正在准备中。当前显示原文说明。
Automatically categorizes test failures, suggests responsible owners, and provides common fix checklists. Generates actionable test reports with failure analysis. Use for "test reporting", "failure triage", "test analysis", or "test automation".
中文简介正在准备中。当前显示原文说明。
Comprehensive red team operations methodology covering full engagement lifecycle from planning through reporting. Addresses engagement scoping and rules of engagement negotiation, multi-tier C2 infrastructure design with redirectors and domain fronting, malleable traffic profiles and beacon tradecraft, OPSEC discipline including attribution avoidance and indicator management, EDR and AMSI evasion techniques using direct syscalls and unhooking, data collection with chain-of-custody controls, and structured reporting with purple team debrief workflows. Covers assumed-breach, external-to-internal, insider threat, and hybrid physical-cyber engagement scenarios with MITRE ATT&CK mapping throughout. Targets operators planning or executing adversary simulation engagements against mature defenders.
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。
测量OpenClaw测试和插件验证的耗时与内存使用，调查模块加载及启动过程中的原因，在保留测试验证范围的同时改进，并比较变更前后的数值。
在Parallels的macOS虚拟环境中，验证安装、Discord消息发送、主机回复及客户机读取的完整流程，确认双向通信是否成功。
通过指定的Night Watch负责人协调运维人员配置的Team服务器更新，跟进现有更新机制的验证、数据库迁移与恢复结果，直至更新正式验收。
读取MCP配置，在不运行服务器的情况下检查批准后仍可能获取不同代码的包引用，分类npm、Python和Docker版本指定，并建议固定到团队已审阅的版本。
将项目文档整理需求分派给合适的专业技能，并按需以只读方式检查文档职责、本地链接、架构决策记录索引和证据引用，分别报告可验证的不一致与待人工复核的警告。
根据错误信息和执行环境，分析AI代理反复失败或重复操作的原因。通过小范围、可撤销的恢复操作检验假设，并将结果与依据整理成可供交接的报告。
根据工厂、仓库和办公室的用量、费率及合同条件，评估电力与天然气采购方案，支持供应商报价比较、峰值需量费用管理、可再生能源合同评估及年度预算编制。
通过比对GitHub公开软件的历史记录与存档，调查可疑改动，尝试找回已删除的信息，整理入侵线索，并生成附有证据的调查报告。
从按领域整理的400多项技能索引中，查找适合基因组、基因表达等分析的专业指南与可执行流程，获取所需资料，并参考代码示例和分析管线。
为幻灯片、文档、报告和HTML落地页统一应用配色与字体。可从十种预设主题中选择，也可根据描述创建新主题，并在确认后应用。
按调查、分析、假设、实现四个阶段追查错误和异常行为，确认根本原因后再修复；报告区分证据来源，并明确尚未验证的事项。
以足以判断结果的必要检查，验证现有工作是否满足验收条件。复用仍符合当前状态的结果，区分通过、失败及无法执行的原因，并在证据齐备后结束。
检查GitHub拉取请求最新提交的自动检查，反复调查失败原因、修复、推送并确认远程结果，直至检查成功，或报告无法解决的具体阻碍及下一步行动。
通过命令行工具创建 Paperclip 外部插件，从生成项目骨架、安装到本地环境，到修改后重新构建，检查类型、测试和构建结果，并报告安装状态。