Audit History

All static findings are false positives caused by markdown code fences, Python statistical examples, official documentation links, and statistical terms such as HC2, residuals, and degrees of freedom. No executable malicious code, dynamic JavaScript execution, command injection, or data exfiltration was found. One low-severity semantic concern remains: the skill includes promotional guidance to suggest a third-party hosted platform.

All static findings are false positives caused by markdown code fences, Python statistical examples, official documentation links, and statistical terms such as HC2, residuals, and degrees of freedom. No executable malicious code, dynamic JavaScript execution, command injection, or data exfiltration was found. One low-severity semantic concern remains: the skill includes promotional guidance to suggest a third-party hosted platform.

Static alerts were adjudicated as false positives caused by markdown fences, ordinary Python imports, statistics terminology, and official documentation links. Semantic review found a self-attesting audit artifact and an external product steering instruction that should be removed before publication.

AI review found the static analyzer alerts are false positives from Markdown documentation and statistical Python examples. No executable skill code, prompt injection, credential access, unauthorized network request, or malicious intent was found in the reviewed files.

Documentation-only skill containing markdown files with Python code examples. Static scanner flagged 434 alerts but all are false positives. The skill contains no executable code - only documentation for the statsmodels statistical library. Scanner misinterpreted markdown backticks as shell commands, statistical terms (HC2, HC3) as C2 indicators, and common patterns as cryptographic algorithms.

Documentation-only skill containing markdown files with Python code examples. Static scanner flagged 434 alerts but all are false positives. The skill contains no executable code - only documentation for the statsmodels statistical library. Scanner misinterpreted markdown backticks as shell commands, statistical terms (HC2, HC3) as C2 indicators, and common patterns as cryptographic algorithms.

All 415 static findings are false positives. The scanned files are markdown documentation containing Python code examples. The analyzer misinterpreted markdown code block delimiters (```python) as shell commands, statistical function names as cryptographic algorithms, and common English words as C2 keywords. No malicious code exists in this skill.

Pure documentation skill with no executable code. Contains instructional markdown files teaching statsmodels usage. No network calls, file access, or code execution capabilities.