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
openai-python
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
LocalAI
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
memory-journal-mcp
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | openai-python | LocalAI | memory-journal-mcp |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 66 · Manual review | 66 · Manual review | 56 · Evidence missing |
Threat tags | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, human approval gap | prompt injection, tool poisoning, unexpected code execution |
Permission summary | Permission review, Network, Command | Permission review, Network, Command | Permission review, Network, Secrets, Command |
Evidence completeness | 65% | 65% | 71% |
| Source & provenance | |||
Provenance | openai/openai-python | mudler/LocalAI | neverinfamous/memory-journal-mcp |
Category | Automation & Workflows | Automation & Workflows | Knowledge & RAG |
Freshness | |||
| Risk & permission signals | |||
Audit signals | metadata-only | metadata-only | needs credentials, network access |
Permission hints | repository clone | repository clone | repository clone, local runtime dependencies |
| Install & compatibility | |||
Install friction | 75 | 75 | 55 |
| Community | |||
Stars | 30.5K | 45.4K | 13 |
Repository: CLIP
Author: openai · Source status: Clear source
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: whisper
Author: openai · Source status: Clear source
Robust Speech Recognition via Large-Scale Weak Supervision
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
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 · High execution risk · Universal · Evidence completeness 65%
Repository: new-api
Author: QuantumNous · Source status: Clear source
A unified AI model hub for aggregation & distribution.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: open-webui
Author: open-webui · Source status: Clear source
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
2026-04-14 |
2026-04-14 |
2026-04-06 |
