Audit-Verlauf

All six static findings are false positives caused by Markdown formatting or machine learning terminology. No prompt injection, malicious intent, data exfiltration, or unsafe execution behavior was found in the reviewed files.

All six static findings are false positives caused by Markdown formatting or machine learning terminology. No prompt injection, malicious intent, data exfiltration, or unsafe execution behavior was found in the reviewed files.

Static analysis reported external command, weak cryptography, and reconnaissance patterns. Manual review found instructional Markdown, Python preprocessing examples, and ML terminology, with no executable shell logic or malicious intent.

Pure documentation skill containing only markdown guidance for ML development. All static findings are FALSE POSITIVES: The 'external_commands' detections are Python variable names (X_train, X_test) that regex incorrectly matches as backticks; the 'C2 keywords' and 'weak cryptographic algorithm' detections are SHA256 content hash strings in metadata; the 'system reconnaissance' detections are standard ML monitoring references. No executable code, scripts, network calls, or command execution capabilities exist.

Pure documentation skill containing only markdown guidance for ML development. All static findings are FALSE POSITIVES: The 'external_commands' detections are Python variable names (X_train, X_test) that regex incorrectly matches as backticks; the 'C2 keywords' and 'weak cryptographic algorithm' detections are SHA256 content hash strings in metadata; the 'system reconnaissance' detections are standard ML monitoring references. No executable code, scripts, network calls, or command execution capabilities exist.

Pure documentation skill with no executable code. Contains only markdown guidance for ML development patterns. No scripts, network calls, file system access beyond its own files, or command execution capabilities.