Github Mintplex Labs Anything Llm
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
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
core
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
mcp-integration
Execution risk:High
Threat tags:data exfiltration, memory context poisoning, human approval gap
Control gaps:missing license, broad permissions, network without allowlist
gpt4all
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | core | mcp-integration | gpt4all |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Audit grade | C · Review first | C · Review first | C · Review first |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, human approval gap | data exfiltration, memory context poisoning, human approval gap | unexpected code execution, data exfiltration, human approval gap |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, network without allowlist | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Permission review, Network, Command | Permission review, Network, Command |
Evidence confidence | 65% | 65% | 65% |
| Source & provenance | |||
Provenance | home-assistant/core | anthropics/claude-code/tree/main/plugins/plugin-dev/skills/mcp-integration | nomic-ai/gpt4all |
Category | Automation & Workflows | Operations & Infra | Automation & Workflows |
Freshness | |||
| Risk & trust | |||
Trust score | 92 | 79 | 92 |
Audit signals | |||
| Install & compatibility | |||
Supported tools | Universal | Claude, Codex, Cursor, Universal | Universal |
Install method | script-backed | registry-install | script-backed |
Install friction | |||
| Community | |||
Stars | 86K | 65.5K | 77.3K |
Repository: onyx
Author: onyx-dot-app · Source status: Clear source
Open Source AI Platform - AI Chat with advanced features that works with every LLM
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
Repository: storm
Author: stanford-oval · Source status: Clear source
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Score basis:Clear source · Risk needs review · Universal
2026-04-14 |
2026-02-04 |
2025-05-28 |
network access |
metadata-only |
Permission hints | repository clone | registry access, remote metadata pull, runtime dependencies may be required | repository clone |
|---|
75 |
50 |
75 |