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
Repository: RAG_Techniques
Author: NirDiamant · Source status: Clear source
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
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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
LightRAG
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
playwright-python
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
graphrag
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | LightRAG | playwright-python | graphrag |
|---|---|---|---|
| Pre-install decision | |||
Threat tags | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, memory context poisoning |
Evidence completeness | 67% | 65% | 67% |
| Source & provenance | |||
Provenance | HKUDS/LightRAG | microsoft/playwright-python | microsoft/graphrag |
Freshness | 2026-04-13 | 2026-03-27 | 2026-04-14 |
| Community | |||
Stars | 33.2K | 14.5K | 32.2K |
Repository: nanobot
Author: HKUDS · Source status: Clear source
"🐈 nanobot: The Ultra-Lightweight Personal AI Agent"
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: CLI-Anything
Author: HKUDS · Source status: Clear source
"CLI-Anything: Making ALL Software Agent-Native" -- CLI-Hub: https://clianything.cc/
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: FastGPT
Author: labring · Source status: Clear source
FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily devel…
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: playwright
Author: microsoft · Source status: Clear source
Playwright is a framework for Web Testing and Automation.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
