Skill UI

This meta-skill provides a comprehensive framework for the entire lifecycle of AI agent skills. It supports creating, refactoring, rigorously evaluating (e.g., Skill OS 2.0 Gates), and securely packaging skills from various sources like workflows, prompts, and documents. It ensures standardized, team-ready, and governed deployment of advanced AI capabilities.

A comprehensive, pre-deployment, defense-in-depth security audit tool for Solidity smart contracts built with Foundry. It combines static analysis (Slither, Aderyn), symbolic execution (Mythril), property-based fuzz testing, and key hygiene checks to proactively detect critical vulnerabilities like reentrancy, access control flaws, and arithmetic bugs before deployment to any EVM chain.

This skill provides a comprehensive solution for monitoring brand impersonation attacks across multiple digital vectors. It systematically scans domains, social media platforms, mobile app stores, and the dark web to detect phishing campaigns, typosquatting, and unauthorized brand usage. It is essential for security teams conducting proactive threat intelligence gathering and vulnerability assessments to safeguard brand integrity.

This guide provides a deep dive into the cryptographic techniques used by ransomware, including AES, RSA, ChaCha20, and hybrid schemes. It covers identifying algorithms, analyzing key management patterns (strong, weak, flawed), and reverse engineering file encryption routines to assess decryption feasibility and support recovery efforts.

A comprehensive, adaptive framework for developing and implementing features, adhering to a strict, multi-phase workflow: Specify, Design, Tasks, and Execute. This skill ensures feature quality through granular task breakdown, atomic Git commits, requirement traceability, and mandatory, independent verification. It automatically adjusts its depth based on feature complexity (Small to Complex), providing a robust mechanism for managing technical debt and capturing project lessons.

This tool provides a comprehensive security assessment framework for Retrieval-Augmented Generation (RAG) systems and vector databases. It tests critical vulnerabilities such as embedding inversion, cross-tenant data leakage, knowledge-base poisoning, and retrieval manipulation, aligning with OWASP LLM08:2025 standards. It is essential for validating the security posture of multi-tenant and vector-search applications.

This skill provides comprehensive security auditing for Model Context Protocol (MCP) servers and their associated tool metadata. It is designed to detect sophisticated supply chain attacks, including tool poisoning (indirect prompt injection), Server-Side Request Forgery (SSRF), tool shadowing, and unauthenticated exposure. It is essential for securing AI agent stacks before integrating new tools or during CI/CD processes.

Pacu is an open-source, modular AWS exploitation framework designed for authorized cloud penetration testing and red-teaming. It functions as a cloud-pentest analogue to Metasploit, enabling users to enumerate AWS resources, scan for privilege escalation paths, and automate the exploitation of IAM vulnerabilities, persistence mechanisms, and data exfiltration. Use this skill to assess the blast radius of compromised credentials in a controlled, authorized environment.

This skill guides the end-to-end process of supply chain security by generating standards-compliant Software Bills of Materials (SBOMs) in CycloneDX and SPDX formats. It details using Syft to create inventories, correlating them with vulnerability intelligence via Grype, enforcing CI/CD gates based on severity, and establishing verifiable provenance using Cosign signing. Essential for modern DevSecOps practices.

A comprehensive read-only client for querying the Go package discovery API (pkg.go.dev). It provides detailed documentation, API signatures, usage examples, version history, dependency graphs, and known CVE vulnerabilities for any Go module or package. Ideal for understanding external library usage, reviewing API details, or checking dependency health without needing write access.

This specialized skill reviews user interface animations, motion patterns, and interactive code (CSS, Framer Motion, etc.) against a strict, high-craft standard. It evaluates not only functionality but also performance, accessibility, physical correctness, and adherence to motion design principles. Use it when reviewing diffs related to transitions, keyframes, or gestures to ensure the motion feels right, not just that it runs.

A comprehensive red-teaming skill for assessing the security posture of Retrieval-Augmented Generation (RAG) pipelines. It systematically probes two critical injection surfaces: poisoned retrieved context (indirect prompt injection) and embedding manipulation. Use this skill to validate retrieval guardrails, ensure data leak prevention, and demonstrate vulnerabilities in LLM-powered knowledge assistants.