graphrag
Repository: graphrag
Author: microsoft · Source status: Clear source
A modular graph-based Retrieval-Augmented Generation (RAG) system
Score basis:Clear source · High execution risk · Universal · Evidence completeness 67%
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
LightRAG
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, memory context poisoning
Control gaps:missing license, broad permissions, shell without guardrails
whisper
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
pathway
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, memory context poisoning
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | LightRAG | whisper | pathway |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 65 · Manual review | 66 · Manual review | 65 · Manual review |
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 | openai/whisper | pathwaycom/pathway |
Freshness | 2026-04-13 | 2026-04-14 | 2026-04-14 |
| Community | |||
Stars | 33.2K | 97.7K | 63.5K |
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%
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%