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personal-genomics
Analyze consumer DNA data from WeGene, 23andMe, AncestryDNA, VCF, BAM, CRAM files and generate evidence-based health reports
Legitimate personal genomics analysis skill with no malicious behavior detected. All functionality matches declared purpose.
技能名称personal-genomics
分析耗时26.3s
引擎pi
可以安装
No action required. Skill is safe for use.
资源类型声明权限推断权限状态证据
文件系统 READ READ ✓ 一致 SKILL.md declares file reading for genetic data ingestion
文件系统 WRITE WRITE ✓ 一致 SKILL.md declares report generation (HTML, Excel output)
网络访问 READ READ ✓ 一致 tool_setup.md:55 documents REF_PATH for EBI CRAM reference fetching
命令执行 WRITE WRITE ✓ 一致 tool_setup.md documents samtools/bcftools compilation for CRAM/BAM analysis
环境变量 NONE NONE No environment variable access found
技能调用 NONE NONE No skill invocation found
剪贴板 NONE NONE No clipboard access found
浏览器 NONE NONE No browser access found
数据库 NONE NONE No database access found
1 项发现
🔗
中危 外部 URL 外部 URL
http://www.ebi.ac.uk/ena/cram/md5/%s
references/tool_setup.md:55

目录结构

11 文件 · 126.9 KB · 2850 行
Markdown 7f · 2501L Python 1f · 243L Text 2f · 83L JSON 1f · 23L
├─ 📁 evals
│ ├─ 📁 test_data
│ │ ├─ 📄 mock_23andme.txt Text 23L · 649 B
│ │ └─ 📄 mock_wegene.txt Text 60L · 1.4 KB
│ └─ 📋 evals.json JSON 23L · 1.6 KB
├─ 📁 references
│ ├─ 📝 snp_database.md Markdown 1041L · 49.6 KB
│ ├─ 📝 supplement_guide.md Markdown 754L · 37.8 KB
│ ├─ 📝 supported_formats.md Markdown 190L · 5.6 KB
│ └─ 📝 tool_setup.md Markdown 62L · 1.9 KB
├─ 📁 scripts
│ └─ 🐍 parse_genotypes.py Python 243L · 8.4 KB
├─ 📝 README_EN.md Markdown 116L · 5.1 KB
├─ 📝 README.md Markdown 114L · 4.9 KB
└─ 📝 SKILL.md Markdown 224L · 9.9 KB

依赖分析 1 项

包名版本来源已知漏洞备注
openpyxl unpinned pip Used for Excel report generation; version not pinned but package is well-maintained

安全亮点

✓ Uses only Python standard library (gzip, os, sys, collections) - no external dependencies with known vulnerabilities
✓ All file operations are explicitly declared in SKILL.md (read genetic data, write reports)
✓ Network access is limited to legitimate EBI reference genome fetching for CRAM files
✓ No credential harvesting, API key theft, or sensitive path access
✓ No obfuscation techniques (base64, eval, atob) detected
✓ No data exfiltration or C2 communication patterns
✓ No reverse shell or remote code execution vectors
✓ Comprehensive SNP database with PMID citations - validates evidence-based approach
✓ Medical disclaimer explicitly required in generated reports
✓ Openpyxl dependency for Excel output is declared in tool_setup.md