扫描报告
12 /100
free-scaling
$0 test-time scaling with online learning. Classify, generate, and verify using free model ensembles via NVIDIA NIM
Legitimate AI ensemble classification/generation tool using NVIDIA NIM APIs with optional Copilot integration. All functionality is properly documented; credential access is limited to necessary GitHub token refresh for Copilot features.
可以安装
This skill is safe to use. Ensure GitHub OAuth tokens are protected at rest and audit ~/.openclaw credential files for proper permissions.
安全发现 2 项
| 严重性 | 安全发现 | 位置 |
|---|---|---|
| 低危 | GitHub OAuth token access for Copilot integration 敏感访问 | nim_ensemble/voter.py:79 |
| 提示 | Optional Copilot feature properly documented 文档欺骗 | SKILL.md:28 |
| 资源类型 | 声明权限 | 推断权限 | 状态 | 证据 |
|---|---|---|---|---|
| 网络访问 | READ | READ | ✓ 一致 | SKILL.md:line1 - Uses NIM/Copilot APIs |
| 文件系统 | NONE | READ | ✓ 一致 | nim_ensemble/voter.py:79-108 - Reads GitHub auth-profiles.json and token cache |
| 环境变量 | READ | READ | ✓ 一致 | voter.py:60 - Reads NVIDIA_API_KEY only |
| 命令执行 | NONE | NONE | — | No subprocess/eval/exec found |
3 项发现
中危 外部 URL 外部 URL
https://build.nvidia.com README.md:3 中危 外部 URL 外部 URL
https://integrate.api.nvidia.com/v1/chat/completions nim_ensemble/models.py:3 中危 外部 URL 外部 URL
https://api.individual.githubcopilot.com/chat/completions nim_ensemble/voter.py:39 目录结构
18 文件 · 171.9 KB · 4916 行 Python 16f · 4526L
Markdown 2f · 390L
├─
▾
nim_ensemble
│ ├─
__init__.py
Python
│ ├─
benchmark.py
Python
│ ├─
capability_map.py
Python
│ ├─
cascade.py
Python
│ ├─
cli.py
Python
│ ├─
elo.py
Python
│ ├─
evolve.py
Python
│ ├─
feedback.py
Python
│ ├─
generate.py
Python
│ ├─
health.py
Python
│ ├─
models.py
Python
│ ├─
parser.py
Python
│ └─
voter.py
Python
├─
▾
presets
│ ├─
__init__.py
Python
│ └─
audit.py
Python
├─
▾
tests
│ └─
test_core.py
Python
├─
README.md
Markdown
└─
SKILL.md
Markdown
依赖分析 1 项
| 包名 | 版本 | 来源 | 已知漏洞 | 备注 |
|---|---|---|---|---|
stdlib-only | N/A | Python 3.10+ stdlib | 否 | No external pip dependencies - uses urllib.request for HTTP |
安全亮点
✓ No shell execution, subprocess, eval, or exec patterns found
✓ Uses stdlib only (no pip dependencies) - minimal supply chain risk
✓ All external API calls go to legitimate NVIDIA NIM and GitHub Copilot endpoints
✓ No base64-encoded payloads or obfuscated code
✓ No data exfiltration to unknown infrastructure
✓ No credential theft beyond what's necessary for documented features
✓ No persistence mechanisms (no cron, startup hooks, or backdoors)
✓ ThreadPoolExecutor used correctly for parallel API calls with proper error handling