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citation-chasing-mapping
Use when identifying seminal papers in a research field, mapping research lineage and intellectual heritage
This is a legitimate citation network mapping tool that uses the Semantic Scholar API for academic research. No malicious behavior detected.
可以安装
This skill is safe to use for citation analysis tasks.
安全发现 1 项
| 严重性 | 安全发现 | 位置 |
|---|---|---|
| 低危 | Bash tool declared but not used 文档欺骗 | SKILL.md:7 |
| 资源类型 | 声明权限 | 推断权限 | 状态 | 证据 |
|---|---|---|---|---|
| 网络访问 | READ | READ | ✓ 一致 | scripts/main.py:40 - urllib.request.urlopen() |
| 文件系统 | WRITE | WRITE | ✓ 一致 | scripts/main.py:165 - open(output_file, 'w') |
| 命令执行 | WRITE | NONE | ✗ 越权 | No subprocess usage found in code |
2 项发现
中危 外部 URL 外部 URL
https://api.semanticscholar.org/graph/v1 scripts/main.py:40 中危 外部 URL 外部 URL
https://arrows.app/ scripts/main.py:564 目录结构
3 文件 · 26.9 KB · 780 行 Python 1f · 569L
Markdown 1f · 201L
JSON 1f · 10L
├─
▾
scripts
│ └─
main.py
Python
├─
SKILL.md
Markdown
└─
tile.json
JSON
安全亮点
✓ Uses only standard library (urllib.request) - no external dependencies
✓ All network calls go to legitimate Semantic Scholar API (https://api.semanticscholar.org)
✓ Implements proper rate limiting to avoid API abuse
✓ No credential harvesting or environment variable access
✓ No obfuscation, base64 encoding, or suspicious patterns
✓ No sensitive file system access (~/.ssh, ~/.aws, .env)
✓ No data exfiltration or C2 communication
✓ No subprocess, reverse shell, or remote code execution
✓ Outputs only local JSON files for network visualization