gemini-cli/tools/gemini-cli-bot

Gemini CLI Bot (Cognitive Repository)

This directory contains the foundational architecture for the gemini-cli-bot, transforming the repository into a proactive, evolutionary system.

It implements a dual-layer approach to balance immediate responsiveness with long-term strategic optimization.

Layered Execution Model

1. System 1: The Pulse (Reflex Layer)

• Purpose: High-frequency, deterministic maintenance and data collection.
• Frequency: 30-minute cron (.github/workflows/gemini-cli-bot-pulse.yml).
• Implementation: Pure TypeScript/JavaScript scripts.
• Role: Currently focuses on gathering repository metrics (tools/gemini-cli-bot/metrics/scripts).
• Output: Action execution and metrics-before.csv artifact generation.

2. System 2: The Brain (Reasoning Layer)

• Purpose: Strategic investigation, policy refinement, and self-optimization.
• Frequency: 24-hour cron (.github/workflows/gemini-cli-bot-brain.yml).
• Implementation: Agentic Gemini CLI phases.
• Role: Analyzing metric trends and running deeper repository health investigations.

Directory Structure

• metrics/: Contains the deterministic runner (index.ts) and individual TypeScript scripts (scripts/) that use the GitHub CLI to track metrics like open issues, PR latency, throughput, and reviewer domain expertise.
• processes/scripts/: Placeholder directory for future deterministic triage and routing scripts.
• investigations/: Placeholder directory for agentic root-cause analysis phases.
• critique/: Placeholder directory for policy evaluation.
• history/: Storage for downloaded metrics artifacts from previous runs.

Usage

To manually collect repository metrics locally, run the following command from the workspace root:

npm run metrics

This will execute all scripts within metrics/scripts/ and output the results to a metrics-before.csv file in the root directory.