Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Selected skills (2/4)
Comparison matrix
Highlights show current best; tooltip explains diff/best rules.
SAS-v2.1 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
Audit score, evidence confidence, trust score, 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
OpenAOE
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
posthog
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | OpenAOE | posthog |
|---|---|---|
| Source & provenance | ||
Provenance | InternLM/OpenAOE | PostHog/posthog |
Category | Automation & Workflows | Dev & Engineering |
Freshness | 2025-06-19 | 2026-04-07 |
| Risk & trust | ||
Trust score | 90 | 85 |
Audit signals | metadata-only | network access |
Permission hints | ||
| Install & compatibility | ||
Install friction | 75 | 40 |
| Community | ||
Stars | 322 | 32.4K |
Repository: pathway
Author: pathwaycom · Source status: Clear source
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Score basis：Clear source · Risk needs review · Universal
Repository: llm-app
Author: pathwaycom · Source status: Clear source
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.
Score basis：Clear source · Risk needs review · Universal
Repository: anything-llm
Author: Mintplex-Labs · Source status: Clear source
The all-in-one AI productivity accelerator.
Score basis：Clear source · Risk needs review · Universal
Repository: quivr
Author: QuivrHQ · Source status: Clear source
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG.
Score basis：Clear source · Risk needs review · Universal
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 · Risk needs review · Universal
repository clone |
repository clone, local runtime dependencies |
