SkillSpector is a security scanner designed to detect vulnerabilities and malicious patterns in AI agent skills, ensuring safe installation.
Source: README View on GitHub →SkillSpector is gaining attention due to its comprehensive vulnerability detection capabilities for AI agent skills, addressing the critical need for security in AI applications. Its multi-format input support, extensive vulnerability patterns, and optional LLM semantic analysis make it a unique tool in the AI security space.
Source: Synthesis of README and project traitsSupports scanning of Git repos, URLs, zip files, directories, and single files, providing flexibility in skill analysis.
Source: README FeaturesDetects a wide range of security risks across 16 categories, including prompt injection, data exfiltration, and privilege escalation.
Source: README FeaturesCombines fast static analysis with optional LLM semantic evaluation for thorough skill assessment.
Source: README FeaturesIntegrates with OSV.dev for real-time CVE data and provides offline fallback for offline use.
Source: README FeaturesAssigns a 0-100 score with severity labels and clear recommendations, aiding in decision-making.
Source: README FeaturesSkillSpector's architecture is modular, with a clear separation of concerns. It features a command-line interface for user interaction, a core analysis engine for vulnerability detection, and integration with various LLM providers for semantic analysis. The codebase is organized into modules for different analysis tasks, and it leverages various Python libraries for tasks like HTTP requests, YAML parsing, and model management.
Source: Code tree + dependency filesCenter: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.
typerrichhttpxpyyamlpydanticopenailanggraphlangchainlangsmithyara-pythonSkillSpector is suitable for developers and security analysts working on AI applications. It can be used to scan AI agent skills before deployment, ensuring they are free from known vulnerabilities and malicious patterns. This is particularly useful in environments where AI agents are used for critical tasks, such as in finance, healthcare, or autonomous systems.
Source: README2.2.3, No release date provided, Main changes not specified
Source: GitHub ReleasesSkillSpector is a promising tool for AI security, offering a comprehensive approach to detecting vulnerabilities in AI agent skills. Its modular architecture and integration with LLMs provide a strong foundation for future development. It is particularly suitable for teams that require robust security checks for their AI applications.
SkillSpector is a security scanner designed to detect vulnerabilities and malicious patterns in AI agent skills, ensuring safe installation.
SkillSpector's core features include: Multi-format input, 64 vulnerability patterns, Two-stage analysis, Live vulnerability lookups, Risk scoring.
SkillSpector is gaining attention due to its comprehensive vulnerability detection capabilities for AI agent skills, addressing the critical need for security in AI applications.
SkillSpector is suitable for developers and security analysts working on AI applications.