agent-scan

Project overview

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.

Project overview

Semia analyzes an Agent Skill before the user decides to trust or run it. The scanner reads the skill as data and never executes its embedded commands, then identifies possible actions, effects, network access, secret reads, and tool invocations with evidence tied to source lines. It can be used through a Python CLI or installed as a plugin for Codex, Claude Code, or OpenClaw. A configured LLM provider is required for the full prepare, synthesize, detect, and report workflow.