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Using language models to evaluate the intent and context of code specifically for security vulnerability detection.
Distinct from LLM-Based Analysis: Focuses on security-specific intent and vulnerability detection rather than general code change interpretation.
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SkillSpector is a security scanner designed to detect vulnerabilities and malicious patterns in AI agent plugins and extensions before they are installed. It functions as a runtime guardrail that calculates numeric risk scores and assigns severity labels to provide installation recommendations or block risky external extensions. The project distinguishes itself by using language models to perform semantic code analysis, evaluating code intent and context to reduce false positives. It also employs fingerprint-based issue suppression to track and ignore previously accepted risks across repeated
Uses large language models to evaluate code intent and context, reducing false positives in security detection.