ai-pi-gg-gemma

Dispatch adversarial code review to Gemma 4-31B-IT via the pi agent and return JSON findings.

Updated Apr 26, 2026
One-click install
npx skills add https://github.com/EndUser123/cc-marketplace --skill ai-pi-gg-gemma
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-pi-gg-gemma
Source: https://github.com/EndUser123/cc-marketplace/tree/main/plugins/cc-skills-ai-cli/skills/ai-pi-gg-gemma
Command: npx skills add https://github.com/EndUser123/cc-marketplace --skill ai-pi-gg-gemma

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables automated adversarial code review by dispatching to Gemma 4-31B-IT through the pi agent, producing structured, actionable findings to improve code safety and quality.

Core Features & Use Cases

  • Multi-provider dispatch: coordinates adversarial review with Gemma 4-31B-IT across providers.
  • Deterministic evaluation: returns a JSON object with score (0-1), summary (one sentence), and identified issues for the target.
  • Use Case: integrate into CI pipelines to systematically assess code quality and security during development and code review.

Quick Start

Run pi with the Gemma model to evaluate a target file and return a JSON object containing a score, a one-line summary, and any issues.

Frequently Asked Questions about ai-pi-gg-gemma

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

FAQPage Schema
How do I automate adversarial code review using Gemma?

Automated adversarial code review is handled by dispatching target files to the Gemma 4-31B-IT model through the pi agent, which returns structured findings including a score, summary, and identified issues.

What is adversarial code review and how does it evaluate code quality?

Adversarial code review evaluates software across files and repositories to produce deterministic scoring and issue reporting. It systematically assesses code safety and quality by returning a 0-1 score, a one-sentence summary, and a list of identified issues.

Do I need the pi agent and Gemma model access to run automated code reviews?

Yes, running automated code reviews requires the pi agent setup and Gemma model access. The Skill coordinates multi-provider dispatch to Gemma 4-31B-IT to generate the structured JSON output.

What's the best way to integrate adversarial code review into a CI pipeline?

Integrating adversarial code review into CI pipelines is achieved by running the pi agent with the Gemma model to evaluate target files during development. It returns a deterministic JSON object containing a score, summary, and issues for downstream automation.

What format does the Gemma code review output use for downstream automation?

The code review output uses a JSON format containing a score from 0 to 1, a one-sentence summary, and an array of identified issues. This structured format enables direct consumption by downstream automation systems.