История аудитов

All 16 static findings were adjudicated as false positives. The reported external command patterns are fenced documentation examples, and the system reconnaissance matches are probe examples or local variable names. No semantic evidence of malware, prompt injection, exfiltration, or unsafe execution was found.

All 16 static findings were adjudicated as false positives. The reported external command patterns are fenced documentation examples, and the system reconnaissance matches are probe examples or local variable names. No semantic evidence of malware, prompt injection, exfiltration, or unsafe execution was found.

The static analyzer flagged external commands, weak cryptography, system reconnaissance, and sensitive data patterns. Review found these are false positives from markdown code fences, evaluation examples, and ordinary terms, with no evidence of malicious intent. The skill includes a Python evaluation helper, so the final risk is low rather than safe.

All 57 static findings are false positives. The 'external_commands' flags are markdown backticks for formatting. 'Weak cryptographic algorithm' flags are mentions of 'GPT-5.2' as example model names. 'System reconnaissance' flags are technical terms in documentation. 'Windows SAM database' is a regex pattern for error extraction, not credential theft. This is pure documentation with a stub Python implementation containing no actual API calls, network access, or file system operations outside its directory.

All 57 static findings are false positives. The 'external_commands' flags are markdown backticks for formatting. 'Weak cryptographic algorithm' flags are mentions of 'GPT-5.2' as example model names. 'System reconnaissance' flags are technical terms in documentation. 'Windows SAM database' is a regex pattern for error extraction, not credential theft. This is pure documentation with a stub Python implementation containing no actual API calls, network access, or file system operations outside its directory.

This skill contains only documentation and evaluation utilities. No network calls, file system access beyond its directory, or code execution capabilities. The Python script is a demonstration stub with no actual LLM API calls.

This skill contains only documentation and evaluation utilities. No network calls, file system access beyond its directory, or code execution capabilities. The Python script is a demonstration stub with no actual LLM API calls.

This skill contains only documentation and evaluation utilities. No network calls, file system access beyond its directory, or code execution capabilities. The Python script is a demonstration stub with no actual LLM API calls.