Histórico de Auditoria

All 160 static findings are FALSE POSITIVES. The skill consists only of markdown documentation files containing Python code examples for the COBRApy metabolic modeling library. The scanner misidentified Python parenthesized imports as dynamic import() expressions, markdown backticks as shell command execution, metabolic modeling terminology (blocked reactions, essential genes) as system reconnaissance, and .get_by_id() method calls as credential access patterns. No executable code, network requests, credential handling, or malicious behavior present.

All 160 static findings are FALSE POSITIVES. The skill consists only of markdown documentation files containing Python code examples for the COBRApy metabolic modeling library. The scanner misidentified Python parenthesized imports as dynamic import() expressions, markdown backticks as shell command execution, metabolic modeling terminology (blocked reactions, essential genes) as system reconnaissance, and .get_by_id() method calls as credential access patterns. No executable code, network requests, credential handling, or malicious behavior present.

All 152 static findings are FALSE POSITIVES. The skill consists only of markdown documentation files with Python code examples for the COBRApy metabolic modeling library. The 'backtick execution' flags triggered on Python docstrings in code blocks. 'Weak crypto' flags triggered on scientific terms. 'System reconnaissance' flags triggered on metabolic modeling terminology like 'blocked reactions' and 'essential genes'. 'Credential access' flags triggered on model attribute references (model.reactions). No executable code, network requests, or credential handling found.

Documentation-only skill containing markdown files with COBRApy workflow examples. No executable code, network calls, file system access, or external commands present. Pure instructional content for metabolic modeling.