審計歷史
exploratory-data-analysis - 4 審計
審計版本 4
最新 安全Jan 17, 2026, 07:10 AM
After thorough evaluation of 1077 static findings, all are false positives. The scanner misinterpreted Markdown code formatting (backticks) as shell commands, bioinformatics format names (SAM) as Windows credentials, and documentation references to file format specifications as weak cryptography. The skill is a legitimate scientific data analysis tool that only reads data files and writes markdown reports. No network access, no command execution, and no sensitive data handling were found.
風險因素
📁 檔案系統存取 (1)
審計版本 3
安全Jan 17, 2026, 07:10 AM
After thorough evaluation of 1077 static findings, all are false positives. The scanner misinterpreted Markdown code formatting (backticks) as shell commands, bioinformatics format names (SAM) as Windows credentials, and documentation references to file format specifications as weak cryptography. The skill is a legitimate scientific data analysis tool that only reads data files and writes markdown reports. No network access, no command execution, and no sensitive data handling were found.
風險因素
📁 檔案系統存取 (1)
審計版本 2
安全Jan 12, 2026, 04:42 PM
After thorough evaluation of 1063 static findings, all are false positives. The scanner misinterpreted Markdown code formatting (backticks) as shell commands, bioinformatics format names (SAM) as Windows credentials, and documentation references to hashing/checksums as weak cryptography. The skill is a legitimate scientific data analysis tool with no network access, no command execution, and no sensitive data handling.
風險因素
⚙️ 外部命令 (710)
📁 檔案系統存取 (10)
審計版本 1
低風險Jan 4, 2026, 04:21 PM
This is a legitimate scientific data analysis skill with standard file I/O capabilities. The Python script reads user-provided data files, performs statistical analysis using standard scientific libraries (numpy, pandas, Biopython, Pillow), and generates markdown reports. No network calls, no credential access, no code execution vulnerabilities. All capabilities are necessary for the stated purpose of exploratory data analysis.