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gemini-cli/tools/gemini-cli-bot
gemini-cli[bot] 4810e7794b # 🤖 Gemini Bot: Metrics Integrity & Triage Hygiene
This PR implements several critical improvements to repository health monitoring and automated triage workflows.

### Summary of Changes

1.  **Backlog Age Metric**: Added `tools/gemini-cli-bot/metrics/scripts/backlog_age.ts` to measure the median and P90 age of open issues and PRs. This addresses the "Survivorship Bias" in current latency metrics, which only sample recently closed items.
2.  **Metrics Persistence**: Fixed a bug in `tools/gemini-cli-bot/metrics/index.ts` that limited the timeseries history to 100 lines (effectively ~2 runs). Increased to 5000 lines to preserve historical trends.
3.  **Robust Stale Closer**: Upgraded `.github/workflows/gemini-scheduled-stale-issue-closer.yml` to a 2-phase system (Mark as Stale -> Close). This centralized logic replaces the throttled default stale action and includes robust human activity detection.
4.  **Triage Bug Fix**: Fixed a critical bug in `.github/workflows/unassign-inactive-assignees.yml` where a missing `for` loop caused the script to fail.
5.  **Policy Consolidation**: Disabled issue staleness in `.github/workflows/stale.yml` to avoid conflicts with the new custom 2-phase closer.

### Why this is recommended

- **Data-Driven Triage**: Without backlog age metrics, we were blind to the "Slow Path" backlog that is growing despite fast "recently closed" latency.
- **Automated Hygiene**: The broken and throttled triage workflows were allowing the backlog to grow unchecked (now at 2351 issues). These fixes restore automated pruning.
- **Metrics Reliability**: Expanding the timeseries window ensures that deltas and trends are calculated against stable historical data.

### Impact

- **Backlog Visibility**: New metrics will show the real age of open items.
- **Throughput**: Increased stale closer throughput will begin reducing the 2300+ issue backlog.
- **Reliability**: Automated unassignment of inactive contributors will keep "help wanted" items moving.
2026-05-01 17:36:13 +00:00
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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.
  • Frequency: 30-minute cron (.github/workflows/gemini-cli-bot-pulse.yml).
  • Implementation: Pure TypeScript/JavaScript scripts.
  • Classification: Optionally utilizes Gemini CLI for high-confidence semantic classification (e.g., triage, labeling, sentiment) while preferring deterministic logic for equivalent tasks.
  • Phases:
    • Reflex Execution: Runs triage, routing, and automated maintenance scripts in reflexes/scripts/.
  • Output: Real-time action execution.

2. System 2: The Brain (Reasoning Layer)

  • Purpose: Strategic investigation, policy refinement, and proactive self-optimization.
  • Frequency: 24-hour cron (.github/workflows/gemini-cli-bot-brain.yml).
  • Implementation: Agentic Gemini CLI phases.
  • Phases:
    • Metrics Collection: Executes scripts in metrics/scripts/ to track repository health (Open issues, PR latency, throughput, etc.).
    • Phase 1: Reasoning (Metrics & Root-Cause Analysis): Analyzes time-series metric trends and repository state to identify bottlenecks or productivity gaps, tests hypotheses, and proposes script or configuration changes to improve repository health and maintainability.
    • Phase 2: Critique: A technical and logical validation layer that reviews proposed changes for robustness, actor-awareness, and anti-spam protocols.
    • Phase 3: Publish: Automatically promotes approved changes to Pull Requests, handles branch management, and responds to maintainer feedback.

Directory Structure

  • metrics/: Deterministic runner (index.ts) and scripts for tracking repository metrics via GitHub CLI.
  • reflexes/scripts/: Deterministic triage and routing scripts executed by the Pulse.
  • brain/: Prompt templates and logic for strategic root-cause analysis (Phase 1: metrics.md) and technical validation (Phase 2: critique.md).
  • history/: Persistent storage for time-series metrics artifacts.
  • lessons-learned.md: The bot's structured memory, containing the Task Ledger, Hypothesis Ledger, and Decision Log.

Usage

Local Metrics Collection

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

npx tsx tools/gemini-cli-bot/metrics/index.ts

This will execute all scripts within metrics/scripts/ and output the results to tools/gemini-cli-bot/history/metrics-before.csv.

Development

When modifying the bot's logic:

  1. Reflexes: Add or update scripts in reflexes/scripts/.
  2. Reasoning: Update the prompts in brain/ to refine how the bot identifies bottlenecks.
  3. Critique: Update the prompts in critique/ to strengthen the validation of proposed changes.