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Complete guide for .NET Aspire Testing integration testing framework. Use when testing .NET Aspire distributed applications, configuring AppHost tests, or migrating from Testcontainers to Aspire testing. Covers DistributedApplicationTestingBuilder, container lifecycle management, multi-service orchestration, Respawn configuration, and time testability design. Keywords: aspire testing, .NET Aspire, DistributedApplicationTestingBuilder, AppHost testing, distributed testing, AspireAppFixture, IAsyncLifetime, ContainerLifetime.Session, cloud-native testing, multi-service integration, Aspire.Hosting.Testing, Respawn

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Complete guide for TUnit new-generation testing framework. Use when creating test projects with TUnit or migrating from xUnit to TUnit. Covers Source Generator driven test discovery, AOT compilation support, fluent async assertions. Includes project creation, [Test] attribute, lifecycle management, parallel control, and xUnit syntax comparison. Keywords: TUnit, tunit testing, source generator testing, AOT testing, new generation testing framework, [Test], [Arguments], TUnit.Assertions, Assert.That, Before(Test), After(Test), NotInParallel, TUnit.Templates, Microsoft.Testing.Platform, TUnit vs xUnit, parallel execution

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Deploys .NET from GitHub Actions. Azure Web Apps, GitHub Pages, container registries.

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Sync shared repo assets into local ~/.github and ~/.codex, and apply MCP settings from the shared canonical runtime catalog.

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Sync shared repo assets into local ~/.github, ~/.codex, and ~/.claude, and apply MCP settings from the shared canonical runtime catalog. Use when runtime assets are stale or after onboarding a new machine.

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Create safe, deterministic git worktrees for large or risky workstreams. Use when tasks are complex enough to warrant isolation from the main working tree.

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Request cross-AI peer review of phase plans from external AI CLIs

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。

Resume work from previous session with full context restoration

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。

Remove a future phase from roadmap and renumber subsequent phases

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。

Import a GSD-2 (.gsd/) project back to GSD v1 (.planning/) format

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。

Archive accumulated phase directories from completed milestones

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Generate AI design contract (AI-SPEC.md) for phases that involve building AI systems — framework selection, implementation guidance from official docs, and evaluation strategy

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Extract decisions, lessons, patterns, and surprises from completed phase artifacts

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 a comprehensive project summary from milestone artifacts for team onboarding and review

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Interactive command center for managing multiple phases from one terminal

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。

Capture idea or task as todo from current conversation context

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Identifies and exploits SMB protocol vulnerabilities using Metasploit Framework during authorized penetration tests to demonstrate risks from unpatched Windows systems, misconfigured shares, and weak authentication in enterprise networks.

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This skill covers detecting sophisticated cyber-physical attacks that follow the Stuxnet attack pattern of modifying PLC logic while spoofing sensor readings to hide the manipulation from operators. It addresses PLC logic integrity monitoring, physics-based process anomaly detection, engineering workstation compromise indicators, USB-borne attack vectors, and multi-stage attack chain detection spanning IT-to-OT lateral movement through to process manipulation.

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Exploits JWT algorithm confusion vulnerabilities where the server's token verification library accepts the algorithm specified in the JWT header rather than enforcing a fixed algorithm. The tester manipulates the alg header to switch from RS256 to HS256 (using the RSA public key as the HMAC secret), sets alg to none to bypass signature verification, or exploits kid/jku/x5u header injection to supply attacker-controlled keys. Activates for requests involving JWT algorithm confusion, alg none attack, key confusion attack, or JWT signature bypass.

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Exploit the noPac vulnerability chain (CVE-2021-42278 sAMAccountName spoofing and CVE-2021-42287 KDC PAC confusion) to escalate from standard domain user to Domain Admin in Active Directory environments.

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Detect command injection attacks against Modbus TCP/RTU protocol in ICS environments by monitoring for unauthorized write operations, anomalous function codes, malformed frames, and deviations from established communication baselines using ICS-aware IDS and protocol deep packet inspection.

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Detecting data exfiltration attempts from AWS S3 buckets by analyzing CloudTrail S3 data events, VPC Flow Logs, GuardDuty findings, Amazon Macie alerts, and S3 access patterns to identify unauthorized bulk downloads and cross-account data transfers.

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Detect anomalies in DNP3 (Distributed Network Protocol 3) communications used in SCADA systems by monitoring for unauthorized control commands, firmware update attempts, protocol violations, and deviations from baseline traffic patterns using deep packet inspection and machine learning approaches.

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Detect NTLM relay attacks through Windows Security Event correlation by analyzing Event 4624 LogonType 3 for IP-to-hostname mismatches, identifying Responder/LLMNR poisoning artifacts, auditing SMB and LDAP signing enforcement across the domain, and detecting NTLM downgrade attacks from NTLMv2 to NTLMv1 using event log analysis.

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。