Skill UI

This skill provides comprehensive guidance and tools for end-to-end software release management. It automates critical tasks such as generating changelogs from conventional commits, determining semantic version bumps (Major/Minor/Patch), assessing release readiness, and planning complex deployment workflows (e.g., Git Flow). Ideal for teams adopting robust DevOps practices.

This skill provides a structured methodology and tools for investigating sophisticated supply chain attacks. It focuses on detecting trojanized software updates, compromised build pipelines, and hidden dependencies by performing deep binary comparison, code signing verification, and anomaly detection. Use it during incident response to map out intrusion vectors and assess the full scope of a security breach.

This skill provides a comprehensive guide to deploying a Software-Defined Perimeter (SDP) compliant with the CSA v2.0 specification. It details implementing core zero trust mechanisms, including Single Packet Authorization (SPA) and mutual TLS (mTLS), using a controller and gateway architecture. Use this when establishing invisible, identity-centric network access (dark cloud) to harden infrastructure, enforce strict zero trust policies, or meet advanced compliance requirements.

A comprehensive guide for conducting hypothesis-driven threat hunting against supply chain compromises (T1195). This skill focuses on querying SIEM/EDR logs to detect indicators of trojanized software updates, compromised dependencies, unauthorized code modifications, and tampered build artifacts. It is crucial when investigating suspected vendor compromises or scoping a build pipeline breach, requiring advanced knowledge of logging systems and threat intelligence.

This skill provides a comprehensive guide to implementing application whitelisting using Windows AppLocker. It drastically restricts unauthorized software execution (malware, shadow IT) on Windows endpoints by enforcing strict application control policies. Use this method to meet critical compliance requirements (such as PCI DSS or NIST standards), block common attack vectors like LOLBins, and significantly reduce the overall attack surface in high-security environments.

This skill provides a comprehensive guide to hardening BGP using the Resource Public Key Infrastructure (RPKI). It covers the full lifecycle, including creating Route Origin Authorizations (ROAs) at Regional Internet Registries (RIRs), deploying RPKI validator software (e.g., Routinator), and configuring Route Origin Validation (ROV) on enterprise routers like Cisco IOS-XE and Juniper Junos. Use this when establishing critical network security controls to prevent route hijacking and leaks.

A comprehensive guide to securing Software as a Service (SaaS) applications (e.g., Microsoft 365, Salesforce) using Zero Trust principles. This skill covers deploying CASB/SSPM solutions, enforcing conditional access policies (MFA, device compliance), governing OAuth permissions, and applying session-level DLP controls to prevent data exfiltration in multi-cloud environments. Ideal for security architects and engineers.

This guide details how to implement secure, keyless software signing using the Sigstore ecosystem components (Cosign, Fulcio, Rekor). It establishes cryptographic provenance for container images and binaries by binding identity via OIDC, ensuring verifiable integrity and tamper-proofing throughout the CI/CD supply chain.

A comprehensive methodology for discovering potential software vulnerabilities. It outlines advanced techniques including static analysis, dynamic analysis, fuzzing, taint tracking, and modern attack surface mapping (e.g., kernel, drivers). Ideal for professional code audits, bug bounty hunting, and building robust vulnerability research pipelines.

This skill guides researchers to determine if their topic fits the scope of Acta Automatica Sinica (AAS). It provides detailed boundaries for control theory, pattern recognition, robotics, and smart systems, helping authors distinguish their contribution from pure algorithms or system software, and advising on appropriate article type (Review/Paper/Short) to avoid initial rejection.

A detailed model of the ACM/IEEE Design Automation Conference (DAC) research manuscript review process. This guide explains the double-blind, TPC-driven, and single-shot nature of the evaluation, emphasizing the critical balance between genuine novelty and measured Quality-of-Results (QoR). It outlines the high standards for evidence fairness, benchmark credibility, and ablation studies required for acceptance, differentiating DAC's approach from architecture and software venues.

A comprehensive framework for ensuring rigorous scientific reproducibility in systems papers. It details how to establish a full provenance ledger (tracking hardware, software commits, and workloads), manage performance variance through repeated runs and statistical reporting, and implement automated pipelines so that all reported figures can be regenerated from raw data.