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.
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
Repository: NornicDB
Author: orneryd · Source status: Clear source
Nornicdb is a low-latency, Graph + Vector, Temporal MVCC with all sub-ms HNSW search, graph traversal, and writes.
Score basis：Clear source · Risk needs review · Universal
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
spring-ai-playground
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
langchain4j
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
prompt-in-context-learning
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | spring-ai-playground | langchain4j | prompt-in-context-learning |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Threat tags | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, data exfiltration, memory context poisoning | prompt injection, tool poisoning, unexpected code execution |
Evidence confidence | 67% | 67% | 68% |
| Source & provenance | |||
Provenance | JM-Lab/spring-ai-playground | langchain4j/langchain4j | EgoAlpha/prompt-in-context-learning |
Freshness | 2026-04-07 | 2026-04-08 | 2026-04-02 |
| Risk & trust | |||
Trust score | 81 | 81 | 79 |
Audit signals | |||
| Community | |||
Stars | 180 | 11.5K | 2.1K |
Repository: neuron-ai
Author: neuron-core · Source status: Clear source
The PHP Agentic Framework to build production-ready AI driven applications.
Score basis：Clear source · Low risk signals · Universal
Repository: cymbal-air-toolbox-demo
Author: GoogleCloudPlatform · Source status: Clear source
Demo of a customer service agent (Cymbal Air) using LangGraph, Tools, and RAG to interact with Google Cloud Databases via MCP Toolbox.
Score basis：Clear source · Low risk signals · Universal
Repository: TidGi-Desktop
Author: tiddly-gittly · Source status: Clear source
TidGi is an privacy-in-mind, automated, auto-git-backup, freely-deployed knowledge management Desktop note app, based on Tiddlywiki, with REST API for web-clipping and Anki connect.
Score basis：Clear source · High risk signals · Universal
No explicit signals |
No explicit signals |
