Github Quantumnous New Api
Repository: new-api
Author: QuantumNous · Source status: Clear source
A unified AI model hub for aggregation & distribution.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%
Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Comparison matrix
Highlights show current best; tooltip explains diff/best rules.
Score-basis diff rules / risk tag notes
Start with the matrix. Open this section when you need to understand audit grades, top threats, control gaps, and best-value highlights.
Suggested baseline
Search to add skills, or paste 2–4 comma-separated slugs.
How differences are detected
A row is marked different when selected skills have distinct values. Only-differences mode hides rows that are identical.
How best values are highlighted
Pre-install score, evidence completeness, and community signal prefer higher values; execution risk and install friction prefer lower values.
How to read risk tags
Risk tags come from SAS-v2.1 public-evidence signals and point to command, network, secret, context, or supply-chain items to review before install.
Selected audit signals
open-webui
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
Cloudlog
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
playwright
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | open-webui | Cloudlog | playwright |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 66 · Manual review | 67 · Manual review | 66 · Manual review |
Evidence completeness | 65% | 67% | 65% |
| Source & provenance | |||
Provenance | open-webui/open-webui | magicbug/Cloudlog | microsoft/playwright |
Category | Automation & Workflows | Operations & Infra | Automation & Workflows |
Freshness | |||
| Risk & permission signals | |||
Audit signals | metadata-only | network access | metadata-only |
Permission hints | repository clone | repository clone, local runtime dependencies | repository clone |
| Install & compatibility | |||
Install friction | 75 | 40 | 75 |
| Community | |||
Stars | 131.7K | 549 | 86.4K |
Repository: openai-cookbook
Author: openai · Source status: Clear source
Examples and guides for using the OpenAI API
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: crawl4ai
Author: unclecode · Source status: Clear source
🚀🤖 Crawl4AI: Open-source LLM Friendly Web Crawler & Scraper.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: one-api
Author: songquanpeng · Source status: Clear source
LLM API 管理 & 分发系统,支持 OpenAI、Azure、Anthropic Claude、Google Gemini、DeepSeek、字节豆包、ChatGLM、文心一言、讯飞星火、通义千问、360 智脑、腾讯混元等主流模型,统一 API 适配,可用于 key 管理与二次分发。单可执行文件,提供 Docker 镜像,一键部署,开箱即用。LLM API management & key redistribution syst…
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: openai-python
Author: openai · Source status: Clear source
The official Python library for the OpenAI API
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: whisper
Author: openai · Source status: Clear source
Robust Speech Recognition via Large-Scale Weak Supervision
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%
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