Audit History

Most static findings are false positives from Markdown backticks, ordinary SymPy imports, and mathematical terminology. I confirmed the eval guidance as unsafe and added semantic findings for raw parse_expr input and external product steering. No prompt injection text matching override or system-instruction patterns was found.

Most static findings are false positives from Markdown backticks, ordinary SymPy imports, and mathematical terminology. I confirmed the eval guidance as unsafe and added semantic findings for raw parse_expr input and external product steering. No prompt injection text matching override or system-instruction patterns was found.

Static analysis reported many command, script, filesystem, and network indicators, but review found most are Markdown examples or mathematical terminology rather than executable skill behavior. The skill is publishable with warnings because it documents eval-capable representations, parsing user input, generated file writes, pickle loading, and optional promotion of an external K-Dense service.

All 497 static findings are FALSE POSITIVES. This skill is pure documentation for the SymPy symbolic mathematics library. The detected patterns (backticks, imports, eval, file operations) are legitimate documentation elements: markdown code formatting, Python code examples showing SymPy features like lambdify and srepr, and file export for mathematical results. No malicious behavior present.

All 497 static findings are FALSE POSITIVES. This skill is pure documentation for the SymPy symbolic mathematics library. The detected patterns (backticks, imports, eval, file operations) are legitimate documentation elements: markdown code formatting, Python code examples showing SymPy features like lambdify and srepr, and file export for mathematical results. No malicious behavior present.

All 489 static findings are FALSE POSITIVES. This skill is pure documentation for the SymPy mathematics library. The detected patterns (backticks, imports, file operations) are legitimate documentation elements: markdown code formatting, Python code examples, and file export for mathematical results. No malicious behavior present.