NemoClaw

IronClaw runs a personal AI assistant through a CLI, web interface, and messaging channels while keeping its state under your control. It supports multiple model providers, MCP connections, scheduled routines, and extensible tools, with WASM sandboxing and credential isolation for untrusted operations. Building the full system from source requires a Rust and PostgreSQL environment.

PentAGI lets autonomous agents plan and execute authorized penetration-testing work inside an isolated Docker environment. It includes more than twenty security tools such as nmap, Metasploit, and sqlmap, and can retain useful findings for later tasks. Cloud and local models are supported; smaller open models benefit from execution monitoring and task planning at the cost of higher token usage.

NVIDIA SkillSpector examines Git repositories, URLs, archives, directories, or individual files before an agent skill is installed. It checks dozens of patterns spanning prompt injection, exfiltration, privilege escalation, dangerous code, dependency vulnerabilities, MCP least privilege, and tool poisoning, then produces terminal, JSON, Markdown, or SARIF reports with risk scores. Scanned skills are never executed. Optional LLM analysis sends file contents to the configured provider, while static-only mode keeps that content local.

Trail of Bits Skills Marketplace packages reusable plugins for AI-assisted security analysis, vulnerability research, testing, and selected development workflows. Users can add the marketplace to Claude Code and install individual plugins through its menu, while Codex can load the same marketplace through Claude plugin compatibility. The collection is aimed at security researchers and engineering teams that want repeatable audit procedures available to their coding agents.