テスト設計、脆弱性診断、品質保証（1.3万 件）
Use when attacking an AI/ML system or model — prompt injection & jailbreaks (Crescendo, Skeleton Key, Best-of-N), RAG/vector poisoning, agentic/MCP exploitation (CVE-2025-54136), ML supply-chain RCE (pickle CVE-2025-32434), model extraction / membership inference / adversarial suffixes (GCG)
日本語の概要は準備中です。原文の説明を表示しています。
Use when about to record, claim, rate the severity of, or report any security finding — before marking anything [CONFIRMED] or writing it into the report
日本語の概要は準備中です。原文の説明を表示しています。
Use when starting, planning, or running a multi-phase pentest or red-team engagement — to sequence the Cyber Kill Chain phases with quality gates instead of jumping straight to exploitation
日本語の概要は準備中です。原文の説明を表示しています。
Production-readiness pass — audits and implements the full non-happy-path matrix: loading skeletons, empty states, error messages, partial data, i18n, offline, permissions, and first-run guidance. Use when preparing a surface for production or when the user says "it crashes on empty data" / "there's no loading state" / "harden this". Invoke when the user asks for harden on their UI, or mentions 'harden' alongside design / UI / frontend work.
日本語の概要は準備中です。原文の説明を表示しています。
Technical UI audit — a11y, performance, responsive. Produces a prioritized findings table. Invoke when the user asks for audit on their UI, or mentions 'audit' alongside design / UI / frontend work.
日本語の概要は準備中です。原文の説明を表示しています。
Audit or establish the project's 3-layer token spine. Invoke when the user asks for tokens on their UI, or mentions 'tokens' alongside design / UI / frontend work.
日本語の概要は準備中です。原文の説明を表示しています。
Reviews code for security vulnerabilities and guides secure implementation using OWASP Top 10:2025, ASVS 5.0, the OWASP Top 10 for LLM Applications (2026), and the OWASP Top 10 for Agentic Applications (2026). Use when reviewing code or a diff for security issues, implementing authentication, authorization, sessions, or cryptography, handling untrusted input, files, or URLs, hardening config, dependencies, or CI, or building LLM and AI agent features.
日本語の概要は準備中です。原文の説明を表示しています。
Generate and interpret security-research diffs between Windows versions or patch levels using this repo's WinDiff CLI and databases. Use when comparing Windows builds or binaries such as ntoskrnl.exe, ntdll.dll, win32k*.sys, ci.dll, or cng.sys to find changed syscalls, symbols, types, mitigation flags, callbacks, ETW/EtwTi telemetry, code-integrity behavior, drivers, or attack surface. Explain likely intent and security relevance with Windows-internals knowledge, and frame findings for anti-malware/EDR, anti-cheat, and vulnerability-research audiences rather than returning an uninterpreted symbol list.
日本語の概要は準備中です。原文の説明を表示しています。
Production QA gate for Blender assets using viewport screenshots, validation checklists, naming audits, and ship/no-ship verdicts via MCP.
日本語の概要は準備中です。原文の説明を表示しています。
Audit a product, selection or FF&E schedule against sourced evidence and flag discrepancies, unknowns and stale specifications. Use to check product data; not to repair records, certify compliance or generate cut sheets.
日本語の概要は準備中です。原文の説明を表示しています。
Complete security architecture overhaul for claude-flow v3. Addresses critical CVEs (CVE-1, CVE-2, CVE-3) and implements secure-by-default patterns. Use for security-first v3 implementation.
日本語の概要は準備中です。原文の説明を表示しています。
Core module implementation for claude-flow v3. Implements DDD domains, clean architecture patterns, dependency injection, and modular TypeScript codebase with comprehensive testing.
日本語の概要は準備中です。原文の説明を表示しています。
15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.
日本語の概要は準備中です。原文の説明を表示しています。
Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows
日本語の概要は準備中です。原文の説明を表示しています。
Comprehensive best practices, design patterns, and common pitfalls for ROS2 (Robot Operating System 2) development. Use this skill when building ROS2 nodes, packages, launch files, components, or debugging ROS2 systems. Trigger whenever the user mentions ROS2, colcon, rclpy, rclcpp, DDS, QoS, lifecycle nodes, managed nodes, ROS2 launch, ROS2 parameters, ROS2 actions, nav2, MoveIt2, micro-ROS, or any ROS2-era robotics middleware. Also trigger for ROS2 workspace setup, DDS tuning, intra-process communication, ROS2 security, or deploying ROS2 in production. Also trigger for colcon build issues, ament_cmake, ament_python, CMakeLists.txt for ROS2, package.xml dependencies, rosdep, workspace overlays, custom message generation, or ROS2 build troubleshooting. Covers Humble, Iron, Jazzy, and Rolling distributions.
日本語の概要は準備中です。原文の説明を表示しています。
Testing strategies, patterns, and tools for robotics software. Use this skill when writing unit tests, integration tests, simulation tests, or hardware-in-the-loop tests for robot systems. Trigger whenever the user mentions testing ROS nodes, pytest with ROS, launch_testing, simulation testing, CI/CD for robotics, test fixtures for sensors, mock hardware, deterministic replay, regression testing for robot behaviors, or validating perception/planning/control pipelines. Also covers property-based testing for kinematics, fuzz testing for message handlers, and golden-file testing for trajectories.
日本語の概要は準備中です。原文の説明を表示しています。
Security hardening and best practices for robotic systems, covering SROS2 DDS security, network segmentation, secrets management, secure boot, and the physical-cyber safety intersection. Use this skill when securing ROS2 communications, configuring DDS encryption and access control, hardening robot onboard computers, managing certificates and credentials, setting up network segmentation for robot fleets, or addressing the unique security challenges where cyber vulnerabilities become physical safety risks. Trigger whenever the user mentions SROS2, DDS security, robot security, robot hardening, ROS2 encryption, ROS2 access control, robot network security, secure robot deployment, robot certificates, keystore generation, robot firewall, e-stop security, safety controller isolation, or IEC 62443 for robotics.
日本語の概要は準備中です。原文の説明を表示しています。
Squidpy spatial statistics on annotated spatial transcriptomics: build the spatial graph (Visium grid, kNN, radius, Delaunay), neighbourhood enrichment z-scores, distance-resolved co-occurrence, interaction matrix and centrality scores, Ripley's L/F/G point patterns, spatially variable genes by Moran's I / Geary's C, and permutation ligand-receptor tests (ligrec, OmniPath). Works on Visium spots and single-cell-resolution data (Xenium, MERFISH, CosMx, Slide-seq). Needs cluster or cell type labels for all but the spatially variable gene step. For an end-to-end ligand-receptor workflow use spatial-transcriptomics-cell-cell-communication.
日本語の概要は準備中です。原文の説明を表示しています。
PowerX Nuxt Vitest/E2E 测试规范。
日本語の概要は準備中です。原文の説明を表示しています。
PowerX 底座 Capability 治理与发布准入规则。用于审计 REST/OpenAPI/gRPC/Gin 生成的能力候选、正式 platform_capabilities 目录、Capability Registry 登记、agent_usable/permission_code/risk_level 元数据、ignore 清单和缺失能力；当用户要求“重新识别能力”“能力是否能发布”“补齐能力登记”“检查 capability-gen/audit/check”“底座接口暴露给插件/agent”时使用。
日本語の概要は準備中です。原文の説明を表示しています。
PowerX CRUD 测试规则（Service 必测、Repo 可选集测）。
日本語の概要は準備中です。原文の説明を表示しています。
Bulk RNA-seq DE with PyDESeq2: load counts, normalize, fit negative binomial models, Wald test (BH-FDR), LFC shrinkage, volcano/MA plots. Use for two-group comparisons, multi-factor designs with batch correction, multiple contrasts.
日本語の概要は準備中です。原文の説明を表示しています。
Bulk RNA-seq DE with R/Bioconductor DESeq2. Negative binomial GLM, empirical Bayes shrinkage, Wald/LRT tests, multi-factor designs, Salmon tximeta import, apeglm LFC shrinkage, MA/volcano/heatmap viz. R gold standard. Use pydeseq2-differential-expression for Python; use edgeR for TMM normalization.
日本語の概要は準備中です。原文の説明を表示しています。
Universal QA checklist for generated scientific plots: overlapping labels, clipped text, missing axes/legends, overcrowded data, and cross-journal resolution/format guidance.
日本語の概要は準備中です。原文の説明を表示しています。