Skill UI

This guide provides a comprehensive methodology for assessing the security posture of Kubernetes etcd clusters. It covers critical areas including encryption at rest (for secrets), TLS transport security, access control validation, secure backup procedures, and network isolation checks, ensuring cluster data integrity and confidentiality.

This guide provides a comprehensive workflow for recovering deleted files from forensic disk images and storage media. Utilizing PhotoRec and file signature carving techniques, it addresses scenarios where file systems are corrupted, formatted, or metadata is unavailable. The process includes setup, running the recovery tool in both interactive and command-line modes, and advanced steps for organizing, hashing, and validating file integrity.

This skill provides comprehensive guidance on hardening and securing critical process historian servers (e.g., OSIsoft PI, Honeywell PHD) operating within Operational Technology (OT) environments. It covers best practices for network placement across the Purdue Model, implementing robust access controls, establishing secure data replication architectures through DMZs (using data diodes), preventing SQL injection, and maintaining data integrity for safety-critical and regulatory reporting purposes. It is essential for minimizing cyber risks in industrial control systems.

An automated verification system designed for critical healthcare application deployments (EMR/EHR). This harness enforces stringent patient safety standards by running multiple mandatory test gates, including Clinical Decision Support System (CDSS) accuracy, Protected Health Information (PHI) leakage prevention, and data integrity checks. A single failure in critical gates automatically blocks deployment, ensuring regulatory compliance and optimal patient safety in the CI/CD pipeline.

This skill provides a comprehensive framework for validating backup reliability. It automates processes like cryptographic hash verification, running simulated restores to isolated environments, detecting silent data corruption (bit rot), and scanning for ransomware indicators. Use it before relying on backups during a major incident or ransomware attack to ensure data recoverability and compliance.

This guide details best practices for using `lark-cli` to interact with Feishu resources. It covers initial configuration, switching between user and bot identities, and crucial authentication flows for AI agents. It provides detailed instructions on handling permission errors, implementing secure split-flow authentication, and managing high-risk write operations to ensure data integrity and user consent.

Automates the generation of robust, DB-agnostic integration test cases for data access layers (DAL) during major database migrations, specifically from Oracle to PostgreSQL. These tests validate behavioral consistency across both source and target database systems, ensuring that core business logic remains intact after the migration process. Essential for maintaining data integrity and application stability.

A powerful tool utilizing Rube MCP to automate interactions with Make (formerly Integromat) scenarios. It allows users to retrieve detailed operation logs, monitor usage data, and validate critical configuration parameters such as supported languages and timezones. Ideal for building comprehensive workflow monitoring dashboards and ensuring the integrity of complex integration pipelines.

This skill safely randomizes the order of repetitive JSON objects within an array without corrupting the data or breaking the JSON syntax. It acts as a data engineer, rigorously validating the input schema (checking for property consistency and lack of nesting) before performing the shuffle. It ensures data integrity is maintained while reordering records, making it ideal for testing, simulation, or data preparation workflows.

A sophisticated, file-based system designed for organizing and tracking complex, multi-step projects. It utilizes structured Markdown files (task_plan.md, progress.md, findings.md) to maintain a complete record of plans, research findings, and progress updates. Ideal for project analysis, workflow management, and ensuring data integrity throughout the planning lifecycle.

This skill performs comprehensive Exploratory Data Analysis (EDA) on specialized scientific datasets. It supports over 200 file formats across diverse domains, including chemistry (PDB), bioinformatics (FASTA, BAM), microscopy (TIFF), and spectroscopy. The system automatically detects the file type, assesses data quality and integrity, and generates detailed, format-specific markdown reports, providing deep insights and recommending downstream analyses.

Provides comprehensive guidance on upgrading your Qdrant vector database version while ensuring data integrity and maintaining application availability. It covers compatibility rules for major/minor versions, recommends step-by-step migration plans, and details how to perform zero-downtime rolling upgrades using replication factors.