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ai-pi-nv-nemotron-3-super

Invoke the Nemotron 3 Super 120B model via NVIDIA Nim to score code weaknesses and list issues.

Updated Apr 26, 2026
Search Tags:#nemotron#code-review#machine-learning#security-analysis#adversarial-review#nvidia-nim
One-click install
npx skills add https://github.com/EndUser123/cc-marketplace --skill ai-pi-nv-nemotron-3-super
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-pi-nv-nemotron-3-super
Source: https://github.com/EndUser123/cc-marketplace/tree/main/plugins/cc-skills-ai-cli/skills/ai-pi-nv-nemotron-3-super
Command: npx skills add https://github.com/EndUser123/cc-marketplace --skill ai-pi-nv-nemotron-3-super

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables automated adversarial review of code by invoking the Nemotron 3 Super 120B model through NVIDIA Nim, scoring risk, summarizing findings, and listing issues.

Core Features & Use Cases

  • Automated adversarial review: analyzes code for vulnerabilities and weaknesses using a high-performance language model.
  • Structured output: returns a numeric score, one-sentence summary, and a detailed issues list for remediation.
  • Use Case: integrate into CI pipelines to periodically audit critical code paths or review pull requests for potential security gaps.

Quick Start

Provide the path to the target file to perform an adversarial review and return JSON with score, summary, and issues.

Frequently Asked Questions about ai-pi-nv-nemotron-3-super

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run an adversarial code review for vulnerabilities in my source files?▼

Adversarial code review is performed by invoking the Nemotron 3 Super 120B model via NVIDIA Nim on a target file. The Skill processes the model's JSON output to return a risk score, summary, and list of issues.

What is adversarial code review and how does it identify security weaknesses?▼

Adversarial code review analyzes code to identify vulnerabilities and weaknesses using a high-performance machine learning model. It evaluates the target file and outputs a numeric risk score between 0 and 1, a summary, and a detailed issues list.

Do I need an NVIDIA Nim API key to use machine learning for security analysis?▼

Yes, an NVIDIA Nim API key and the nemotron-3-super-120b-a12b model are required to function. The Skill relies on this external service to perform the automated security analysis and generate structured remediation findings.

Can I integrate automated code review into CI pipelines to audit pull requests?▼

You can integrate this adversarial code review into CI pipelines to periodically audit critical code paths or review pull requests. It accepts a target file path and returns structured JSON containing the risk score and issues.

What structured output format does the adversarial review return for remediation?▼

The adversarial review returns structured JSON output containing a numeric score from 0 to 1, a one-sentence summary, and a detailed list of issues. This format supports automated parsing for remediation workflows.

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