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Found 14 Skills
Use FuzzingLabs MCP Security Hub to integrate offensive security tools (Nmap, Nuclei, SQLMap, Ghidra, etc.) with AI assistants via Docker-based MCP servers
Audit MCP (Model Context Protocol) server configurations for security issues. Use this skill when: - Reviewing .mcp.json files for security risks - Checking MCP server args for hardcoded secrets or shell injection patterns - Validating that MCP servers use pinned versions (not @latest) - Detecting unpinned dependencies in MCP server configurations - Auditing which MCP servers a project registers and whether they're on an approved list - Checking for environment variable usage vs. hardcoded credentials in MCP configs - Any request like "is my MCP config secure?", "audit my MCP servers", or "check .mcp.json" keywords: [mcp, security, audit, secrets, shell-injection, supply-chain, governance]
Deploy and orchestrate 38 MCP servers for offensive security tools (Nmap, Nuclei, Ghidra, SQLMap, etc.) via Docker
Scan for unprotected MCP servers using @contextware/mcp-scan package. Enables security auditing of local AI tools and network endpoints.
Active penetration testing toolchain. Covers scenarios such as information gathering, port scanning, vulnerability scanning, web penetration, SQL injection, directory brute-forcing, password cracking, etc. Exposes over 20 security tools to AI agents via MCP server (pentestMCP / mcp-security-hub). Trigger keywords: penetration testing, port scanning, Nmap, vulnerability scanning, Nuclei, SQL injection, SQLMap, directory brute-forcing, FFUF, password cracking, Hashcat, information gathering, subdomain, web penetration, ZAP, Burp.
Expert guidance for researching, documenting, and integrating Model Context Protocol (MCP) servers and tools. Covers MCP architecture, server/client implementation patterns, tool discovery, integration workflows, security best practices, and multi-language SDK usage (Python, TypeScript, C#, Java, Rust). Enables seamless integration of MCP tools into Claude Code and AI applications.
LLM prompt injection playbook. Use when testing AI/LLM applications for direct injection, indirect injection via RAG/browsing, tool abuse, data exfiltration, MCP security risks, and defense bypass techniques.
Build conversational AI voice agents with ElevenLabs Platform. Configure agents, tools, RAG knowledge bases, agent versioning with A/B testing, and MCP security. React, React Native, or Swift SDKs. Prevents 34 documented errors. Use when: building voice agents, AI phone systems, agent versioning/branching, MCP security, or troubleshooting @11labs deprecated, webhook errors, CSP violations, localhost allowlist, tool parsing errors.
Audit MCP servers for tool poisoning, tool shadowing, rug pulls, SSRF, and unauthenticated exposure using Invariant Labs' mcp-scan for static/runtime scanning plus manual SSRF/auth checks and description pinning. Use before adding a new MCP server to an agent stack, when reviewing an internal MCP server, detecting rug pulls, or investigating an agent's unexpected tool-driven behavior.
Statically review MCP configuration for mutable package references before approval or CI, without executing discovered MCP servers. Use when reviewing .mcp.json, Cursor, VS Code, Claude, Windsurf, or other repo-scoped MCP config.
Set up Superagent Context Guardrails at coding-agent tool boundaries, configure and safely use the remote MCP server, and manage signed webhooks for findings, security reports, Contributor Trust, and Runtime Guardrails. Use when the user asks to enable context scanning before an agent consumes URLs, files, email, skills, or MCP repositories; integrate coding-agent hooks; or install, connect, configure, troubleshoot, or operate Superagent from Cursor, Claude Code, Codex CLI, or another MCP client.
Audit the extensions AI coding agents load and trust (skills, plugins, marketplaces, hooks, settings, MCP servers, and instruction files like CLAUDE.md, AGENTS.md, GEMINI.md, .cursor/rules and copilot-instructions.md) across Claude Code, Cursor, Codex, Gemini CLI and GitHub Copilot. Read-only: inventories each item with its source and pin, greps for hidden instructions, exfiltration, credential reads, persistence, curl|bash and over-broad tool grants, reviews hooks and MCP pinning and tool poisoning, and gives each item a SAFE / CAUTION / DO-NOT-INSTALL verdict. Use when the user mentions 'audit my skills,' 'is this skill malicious,' 'is this skill safe,' 'is this MCP server safe,' 'review CLAUDE.md,' 'review AGENTS.md,' 'plugin security,' 'check my hooks,' 'audit my MCP servers,' 'agent supply chain,' 'SkillSpector,' 'tool poisoning,' 'rug pull,' or is about to install a skill, plugin, or MCP server.