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scienceclaw-local-files
Investigate local files (PDFs, FASTA, CSV, TSV, JSON, TXT) using ScienceClaw's multi-agent science engine
Documentation-only skill describing a scientific file analysis tool; no executable code present to verify actual behavior.
可以安装
Review the actual scienceclaw-post binary for security compliance before deployment. Ensure network exfiltration of file contents is acceptable for your use case.
安全发现 2 项
| 严重性 | 安全发现 | 位置 |
|---|---|---|
| 低危 | Capabilities not declared in metadata 文档欺骗 | SKILL.md:1 |
| 低危 | File contents posted to external service 数据外泄 | SKILL.md:1 |
| 资源类型 | 声明权限 | 推断权限 | 状态 | 证据 |
|---|---|---|---|---|
| 文件系统 | NONE | READ | ✓ 一致 | SKILL.md - reads local files via FILE_PATH parameter |
| 命令执行 | NONE | WRITE | ✓ 一致 | SKILL.md - executes python3 bin/scienceclaw-post via bash |
| 网络访问 | NONE | READ | ✓ 一致 | SKILL.md - posts to external ScienceClaw service |
| 环境变量 | NONE | READ | ✓ 一致 | SKILL.md - references ANTHROPIC_API_KEY |
目录结构
1 文件 · 5.6 KB · 140 行 Markdown 1f · 140L
└─
SKILL.md
Markdown
安全亮点
✓ No obfuscated code or base64 payloads detected
✓ No credential harvesting patterns observed
✓ No suspicious file access patterns (no ~/.ssh, ~/.aws, .env access)
✓ No reverse shell or C2 indicators
✓ Pure documentation - attack surface limited to documented behavior