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
llm-app
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
airflow
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：broad permissions, shell without guardrails, network without allowlist
| Dimension | llm-app | airflow |
|---|---|---|
| SAS-v2.1 pre-install audit | ||
Audit grade | C · Review first | C · Review first |
Execution risk | High | High |
Threat tags | 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 | broad permissions, shell without guardrails, network without allowlist |
Permission summary | Permission review, Network, Command | Permission review, Network, Command |
Evidence confidence | 67% | 65% |
| Source & provenance | ||
Provenance | pathwaycom/llm-app | apache/airflow |
Category | Automation & Workflows | Automation & Workflows |
Freshness | 2026-01-07 | |
| Risk & trust | ||
Trust score | 92 | 92 |
Audit signals | metadata-only | |
| Install & compatibility | ||
Supported tools | Universal | Universal |
Install method | script-backed | script-backed |
Install friction | ||
| Community | ||
Stars | 60K | 45K |
Repository: llm-course
Author: mlabonne · Source status: Clear source
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
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: litellm
Author: BerriAI · Source status: Clear source
Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging.
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: langextract
Author: google · Source status: Clear source
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Score basis：Clear source · Risk needs review · Universal
metadata-only |
Permission hints | repository clone | repository clone |
|---|
75 |
