감사 이력
alphafold-database - 4 감사들
감사 버전 4
최신 안전Jan 17, 2026, 06:50 AM
This is a legitimate scientific skill for accessing the AlphaFold protein structure database. All 244 static findings are false positives. The analyzer misinterpreted markdown code formatting (backticks), standard Python HTTP library usage, and documented public API endpoints as security threats. The skill uses safe Biopython library calls, standard requests to authorized EBI APIs, and subprocess with list-form arguments for Google Cloud access.
위험 요인
🌐 네트워크 접근 (2)
⚙️ 외부 명령어 (1)
📁 파일 시스템 액세스 (1)
감사 버전 3
안전Jan 17, 2026, 06:50 AM
This is a legitimate scientific skill for accessing the AlphaFold protein structure database. All 244 static findings are false positives. The analyzer misinterpreted markdown code formatting (backticks), standard Python HTTP library usage, and documented public API endpoints as security threats. The skill uses safe Biopython library calls, standard requests to authorized EBI APIs, and subprocess with list-form arguments for Google Cloud access.
위험 요인
🌐 네트워크 접근 (2)
⚙️ 외부 명령어 (1)
📁 파일 시스템 액세스 (1)
감사 버전 2
안전Jan 12, 2026, 04:10 PM
This skill is a legitimate scientific tool for accessing the AlphaFold protein structure database. All static findings are false positives. The analyzer misinterpreted documentation text, URL patterns, and common HTTP library usage as security threats. Actual functionality uses safe Biopython library calls, standard HTTP requests to authorized EBI APIs, and subprocess calls with hardcoded arguments for Google Cloud bulk downloads.
위험 요인
🌐 네트워크 접근 (2)
⚙️ 외부 명령어 (1)
감사 버전 1
안전Jan 5, 2026, 03:47 PM
Pure documentation skill with no executable code. All content consists of markdown documentation and Python example code for accessing public AlphaFold data via legitimate endpoints (alphafold.ebi.ac.uk, Google Cloud, BigQuery). No file system access, no network calls, no code execution capabilities.