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Dataset · Hugging Face

zhcharyzhang/lara-clawaudit

LARA: Verifier-Guided Rule-Level Semantic Fuzzing for Auditing Local Agent Runtimes Artifacts for auditing the runtime layer of local LLM agents — the prompt builder, tool dispatcher, skill loader, memory writer, permission gate and network client that mediate between model output and host actions. Released here: the historical vulnerabilities mined from four agent runtimes, the frozen rule corpora produced by verifier-guided rule-level semantic fuzzing, and every artifact… See the full description on the dataset page: https://huggingface.co/datasets/zhcharyzhang/lara-clawaudit.

Author / organizationzhcharyzhang
License (as declared)cc-by-4.0
Downloads1.7K (as reported by Hugging Face)
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Created26 September 2026
Last updated at source26 September 2026
securitystatic-analysisllm-agentsvulnerability-detectioncodeqlsemgrep
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