Skill UI

Clarity Gate ensures documents entering RAG knowledge bases retain epistemic quality by generating Clarity-Gated Documents, validating Source of Truth tables, and running deterministic claim/document hash scripts before ingestion.

This skill details techniques for exploiting PHP's type juggling vulnerabilities, primarily caused by loose (==) comparison operators. It demonstrates how attackers can bypass authentication mechanisms, defeat magic hash function verifications, and manipulate application logic through controlled type coercion when testing web applications. Ideal for authorized security penetration testing.

A comprehensive security tool designed to simulate and detect critical software supply chain attacks. It identifies risks such as typosquatting via Levenshtein distance, dependency confusion against private registries, package integrity failures through SHA-256 hash verification, and known vulnerabilities using pip-audit. Essential for security auditing and assessing project dependency risk.

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 comprehensive guide outlines essential security best practices for integrating with Intercom. It covers secure token storage, robust webhook signature verification (X-Hub-Signature), implementing Identity Verification, and adhering to least-privilege OAuth scopes. Use this guide when building secure, production-ready applications that interact with Intercom APIs.

A comprehensive tool for identifying poisoned training data, backdoored ML models, and supply-chain compromises. It leverages IBM's Adversarial Robustness Toolbox (ART) for activation clustering and spectral signature analysis, uses Cleanlab for label quality checks, and enforces integrity via weight-hash verification and safetensors. Essential for securing ML pipelines before training, deployment, or during supply chain audits.