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
AI-Agents
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
ccNexus
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | AI-Agents | ccNexus |
|---|---|---|
| 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 | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Permission review, Network, Command |
Evidence confidence | 67% | 65% |
| Source & provenance | ||
Provenance | NisaarAgharia/AI-Agents | lich0821/ccNexus |
Category | Dev & Engineering | Dev & Engineering |
Freshness | 2024-06-02 | 2026-03-23 |
| Risk & trust | ||
Trust score | 64 | 82 |
Audit signals | No explicit signals | No explicit signals |
Permission hints | ||
| Install & compatibility | ||
Supported tools | Universal | Universal |
Install method | script-backed | script-backed |
Install friction | ||
| Community | ||
Stars | 86 | 816 |
Repository: DemoGPT
Author: melih-unsal · Source status: Clear source
🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.
Score basis：Clear source · Low risk signals · Universal
Repository: NVIDIA-Nemotron-3-Super
Author: cobusgreyling · Source status: Clear source
Controllable reasoning demos for NVIDIA Nemotron 3 Super (120B/12B MoE) — chat UI, CLI, API server, tool calling, budget sweep, and adaptive routing Topics: gradio, llm, mixture-of-experts, moe, nemotron, nim, nvidia, re
Score basis：Clear source · Low risk signals · Universal
Repository: AI-Shorts-Creator
Author: NisaarAgharia · Source status: Clear source
AI-Video-Cropper is a Python-based tool that leverages the power of GPT-4 (OpenAI's language model) to automatically analyze videos, extract the most interesting sections, and crop them for improved viewing experience.
Score basis：Clear source · Risk needs review · Universal
Repository: Advanced_RAG
Author: NisaarAgharia · Source status: Clear source
Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 ,Agents.
Score basis：Clear source · Risk needs review · Universal
repository clone, local runtime dependencies |
repository clone, local runtime dependencies |
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