Skill UI

A robust framework for orchestrating complex, multi-step coding tasks using multiple AI agents. It functions by first planning the entire project into a mission dependency graph (DAG), then dispatching specialized agents to isolated Git worktrees for parallel development. The system automatically monitors progress, handles merges, and generates structured, comprehensive reports detailing changes, completed tasks, and next steps.

Guide for assessing AWS, Azure, and GCP environments with tools such as Pacu, ScoutSuite, and Prowler to uncover IAM weaknesses, exposed storage, insecure serverless functions, and cloud-native attack chains.

This skill automates the process of testing for Broken Function Level Authorization (BFLA) vulnerabilities in APIs. It simulates attempts by low-privilege users to access or execute administrative functions and privileged endpoints by manipulating HTTP methods, paths, and credentials. It is essential for comprehensive API security audits and validating Role-Based Access Control (RBAC) enforcement.

This utility implements an append-only log integrity chain using SHA-256 hash chaining. It ensures tamper detection by linking each log entry to the previous one, forming a blockchain-like structure. Functions include log ingestion, chain verification, pinpoint tamper detection, and anchoring to external timestamping services for robust audit logging and compliance.

This skill provides a systematic framework for managing Indicators of Compromise (IOCs) throughout their entire life cycle—from initial discovery and validation to enrichment, deployment, monitoring, and eventual retirement. It emphasizes implementing confidence decay functions, tracking hit rates, and managing false positives to maintain a high-quality, actionable threat intelligence database, thereby minimizing analyst fatigue and maximizing detection efficacy.

This skill guides users through conducting a comprehensive maturity assessment using the NIST Cybersecurity Framework (CSF) 2.0. It covers calculating an organization's cybersecurity posture against the six core functions (Govern, Identify, Protect, Detect, Respond, Recover) and the four Implementation Tiers (Partial to Adaptive). The process culminates in detailed gap analysis and the creation of a strategic improvement roadmap.

A comprehensive tool designed for assessing the security posture of Programmable Logic Controller (PLC) firmware. It specializes in detecting critical vulnerabilities such as hardcoded credentials, undocumented debug interfaces, backdoor functions, and memory corruption flaws. The tool supports analyzing major industrial platforms (Siemens, Allen-Bradley) by performing static and dynamic analysis, and verifying firmware integrity against known-good baselines, adhering to standards like IEC 62443. Use only in authorized lab environments.

This sophisticated tool automates the security review of serverless functions across major cloud providers, including AWS Lambda, Azure Functions, and GCP Cloud Functions. It systematically identifies critical misconfigurations such as overly permissive IAM execution roles (wildcard actions), hardcoded secrets in environment variables, and potential lack of runtime protections. Ideal for pre-production auditing and compliance checks.

This skill provides comprehensive security hardening guidelines for serverless compute platforms like AWS Lambda, Azure Functions, and Google Cloud Functions. It covers essential security pillars including enforcing least privilege IAM roles, integrating robust secrets management (e.g., AWS Secrets Manager), automating dependency vulnerability scanning within CI/CD pipelines, and implementing strict input validation to mitigate risks such as injection and credential theft. Ideal for DevSecOps practitioners and security architects.

Provide step-by-step explanations of specific files, functions, or modules, leveraging the understand-explain workflow to map graph context, layer placement, internal structure, and data flow for developers needing deep clarity.

Comprehensive Snowflake development assistant covering SQL best practices, dynamic tables, streams, tasks, Snowpipe, Cortex AI functions/agents, Snowpark Python, dbt integration, performance tuning, and security hardening for production data platforms.

A comprehensive guide to advanced development practices on the Snowflake platform. Covers best practices for SQL (MERGE, semi-structured data, colon prefix rule), modern data pipeline construction (Dynamic Tables, Streams/Tasks, Snowpipe), and deep integration with Cortex AI functions and Snowpark Python. Essential knowledge for data engineers building robust, scalable, and intelligent data applications.