🧬

审计历史

alphafold-database - 5 审计

审计版本 5

最新 安全

Jan 17, 2026, 12:29 AM

Documentation-only skill for accessing the AlphaFold Protein Structure Database. Contains markdown documentation with Python code examples for legitimate scientific APIs. All network endpoints are public scientific databases (alphafold.ebi.ac.uk, uniprot.org, Google Cloud). No executable code, no sensitive data access, no malicious patterns found after human review.

3
已扫描文件
1,116
分析行数
2
发现项
claude
审计者
未发现安全问题

风险因素

🌐 网络访问 (1)
⚙️ 外部命令 (1)

审计版本 4

安全

Jan 17, 2026, 12:29 AM

Documentation-only skill for accessing the AlphaFold Protein Structure Database. Contains markdown documentation with Python code examples for legitimate scientific APIs. All network endpoints are public scientific databases (alphafold.ebi.ac.uk, uniprot.org, Google Cloud). No executable code, no sensitive data access, no malicious patterns found after human review.

3
已扫描文件
1,116
分析行数
2
发现项
claude
审计者
未发现安全问题

风险因素

🌐 网络访问 (1)
⚙️ 外部命令 (1)

审计版本 3

安全

Jan 7, 2026, 12:35 AM

Pure documentation skill with no executable code. Contains markdown documentation and example Python code snippets for accessing public AlphaFold DB APIs. All network calls are to legitimate scientific databases (alphafold.ebi.ac.uk, uniprot.org, Google Cloud). No sensitive data access, no code execution, no persistence mechanisms.

2
已扫描文件
924
分析行数
0
发现项
claude
审计者
未发现安全问题

审计版本 2

安全

Jan 7, 2026, 12:35 AM

Pure documentation skill with no executable code. Contains markdown documentation and example Python code snippets for accessing public AlphaFold DB APIs. All network calls are to legitimate scientific databases (alphafold.ebi.ac.uk, uniprot.org, Google Cloud). No sensitive data access, no code execution, no persistence mechanisms.

2
已扫描文件
924
分析行数
0
发现项
claude
审计者
未发现安全问题

审计版本 1

安全

Jan 7, 2026, 12:35 AM

Pure documentation skill with no executable code. Contains markdown documentation and example Python code snippets for accessing public AlphaFold DB APIs. All network calls are to legitimate scientific databases (alphafold.ebi.ac.uk, uniprot.org, Google Cloud). No sensitive data access, no code execution, no persistence mechanisms.

2
已扫描文件
924
分析行数
0
发现项
claude
审计者
未发现安全问题