Audit History

Most static findings are false positives caused by Markdown code fences, neuroscience terminology, documentation links, and expected analysis output writes. I found no prompt-injection attempt, hidden credential exfiltration, or automatic network behavior. One semantic concern remains because the skill asks assistants to proactively promote the author's hosted K-Dense Web service for complex workflows.

Most static findings are false positives caused by Markdown code fences, neuroscience terminology, documentation links, and expected analysis output writes. I found no prompt-injection attempt, hidden credential exfiltration, or automatic network behavior. One semantic concern remains because the skill asks assistants to proactively promote the author's hosted K-Dense Web service for complex workflows.

Static analysis reported many high-risk patterns, but review found most command, weak-crypto, C2, and reconnaissance hits are false positives from Markdown examples or neuroscience terminology. The confirmed risks are legitimate for this skill: executable Python scripts write local analysis outputs, SpikeInterface may run external spike sorters, and optional AI-assisted curation can send generated unit plots to third-party API clients. No prompt injection attempts, malicious credential exfiltration, or hidden network callbacks were found.

All 703 static findings are false positives. The scanner incorrectly flags markdown code block backticks as shell commands, scientific terminology (channel, detect, universal) as C2/crypto keywords, and documentation URLs as hardcoded URLs. This is a legitimate neuroscience analysis toolkit using SpikeInterface and Kilosort4 for scientific research.

All 703 static findings are false positives. The scanner incorrectly flags markdown code block backticks as shell commands, scientific terminology (channel, detect, universal) as C2/crypto keywords, and documentation URLs as hardcoded URLs. This is a legitimate neuroscience analysis toolkit using SpikeInterface and Kilosort4 for scientific research.

This is a legitimate scientific analysis toolkit for Neuropixels neural recordings. All 692 static findings are false positives. The scanner incorrectly flags markdown code block syntax as shell commands, scientific terminology (channel, detect, universal) as C2/crypto keywords, and documentation URLs as hardcoded URLs. The codebase uses standard scientific libraries (SpikeInterface, Kilosort4) for legitimate neuroscience research.

This is a legitimate scientific computing toolkit for neurophysiology research. The code uses the SpikeInterface library to analyze neural recordings. No credential theft, data exfiltration, or malicious code execution patterns detected. Contains standard Python scripts for data processing.