gpt4all
Repository: gpt4all
Author: nomic-ai · Source status: Clear source
GPT4All: Run Local LLMs on Any Device.
Score basis:Clear source · Risk needs review · Universal
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
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
langextract
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
OMNI — All-In-One Master Skill
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
Control gaps:missing license, broad permissions, shell without guardrails
llm-app
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, memory context poisoning
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | langextract | OMNI — All-In-One Master Skill | llm-app |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Threat tags | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, data exfiltration, memory context poisoning |
Permission summary | Permission review, Network, Command | Permission review, Network, Secrets, Command | Permission review, Network, Command |
Evidence confidence | 65% | 67% | 67% |
| Source & provenance | |||
Provenance | google/langextract | openclaw/skills | pathwaycom/llm-app |
Category | Automation & Workflows | Data & Analytics | Automation & Workflows |
Freshness | |||
| Risk & trust | |||
Trust score | 92 | 88 | 92 |
Audit signals | |||
| Install & compatibility | |||
Supported tools | Universal | Claude, Codex, OpenClaw | Universal |
Install friction | 75 | 65 | |
| Community | |||
Stars | 35.6K | 0 | 60K |
Repository: home-assistant/core
Author: home-assistant · Source status: Clear source
:house_with_garden: Open source home automation that puts local control and privacy first.
Score basis:Clear source · Risk needs review · Universal
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
2026-04-14 |
2026-04-02 |
2026-01-07 |
needs credentials, network access, runs shell, writes files |
metadata-only |
Permission hints | repository clone | verify source provenance before install | repository clone |
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