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: ragflow
Author: infiniflow · Source status: Clear source
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
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
GitNexus
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
FastGPT
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
gemini-cli
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | GitNexus | FastGPT | gemini-cli |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 92 · Manual review | 92 · Manual review | 92 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, data exfiltration, human approval gap |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Permission review, Network, Command | Permission review, Network, Command |
Evidence completeness | 68% | 67% | 65% |
| Source & provenance | |||
Provenance | abhigyanpatwari/GitNexus | labring/FastGPT | google-gemini/gemini-cli |
Category | Agent & Tools | Automation & Workflows | Agent & Tools |
Freshness | |||
| Risk & permission signals | |||
Audit signals | metadata-only | metadata-only | metadata-only |
Permission hints | repository clone | repository clone | repository clone |
| Install & compatibility | |||
Supported tools | Universal | Universal | Universal |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 27.2K | 27.7K | 101.2K |
Repository: PaddleOCR
Author: PaddlePaddle · Source status: Clear source
Turn any PDF or image document into structured data for your AI.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: lobehub
Author: lobehub · Source status: Clear source
The ultimate space for work and life — to find, build, and collaborate with agent teammates that grow with you.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: ansible
Author: ansible · Source status: Clear source
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
2026-04-14 |
2026-04-14 |
2026-04-14 |
75 |
75 |
75 |
