pr-bot

Automate GitHub pull request review and merge workflows with bot arbitration.

12|1|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/RyderFreeman4Logos/cli-sub-agent --skill pr-bot
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pr-bot
Source: https://github.com/RyderFreeman4Logos/cli-sub-agent/tree/main/patterns/pr-bot/skills/pr-bot
Command: npx skills add https://github.com/RyderFreeman4Logos/cli-sub-agent --skill pr-bot

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PR review and merge loops can be slow and error-prone due to manual approvals, bot-based reviews, arbitration debates, and audit trails; this skill automates and orchestrates them in a safe, auditable way.

Core Features & Use Cases

  • Automated end-to-end PR review and merge orchestration with a two-layer cloud bot and local review.
  • Explicit arbitration and audit-trail management, with quota handling and retry loops.
  • Configurable bot settings and merge policies to fit team workflows.

Quick Start

Run the pr-bot workflow on your feature branch to initiate local review, cloud bot arbitration, and merge.

Frequently Asked Questions about pr-bot

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

FAQPage Schema
How do I automate GitHub pull request reviews with bot arbitration?

Automate GitHub pull request reviews with bot arbitration by orchestrating a two-layer cloud-bot workflow that executes local and cloud-based reviews. This enforces explicit arbitration, quota handling, and mandatory audit comments for safe merging.

What is cloud-bot arbitration in a pull request workflow?

Cloud-bot arbitration in a pull request workflow is an explicit review resolution mechanism using a three-layer orchestration model. It coordinates local and cloud-based bot reviews to resolve merge debates automatically while maintaining an auditable change log.

How do I enforce an audit trail for automated PR merges?

Enforce an audit trail for automated PR merges by applying a policy-driven merge path that mandates audit comments. The orchestration model logs explicit arbitration decisions and retry loops to ensure all automated changes are fully traceable.

Can I configure retry policies and bot quotas for automated PR reviews?

You can configure retry policies and bot quotas for automated PR reviews using configurable cloud bot settings. The orchestration model supports explicit quota handling and retry loops to manage cloud-based review execution within your team workflows.

What is the best way to orchestrate end-to-end PR review and merge loops?

The best way to orchestrate end-to-end PR review and merge loops is using a three-layer orchestration model with an orchestrator, executors, and sub-agents. This approach automates local review, cloud arbitration, and policy-driven merging into one auditable pipeline.

Why does my automated bot review fail to merge pull requests?

Automated bot review fails to merge pull requests when explicit arbitration is unresolved or cloud bot quotas are exceeded. The orchestration model handles these constraints through configurable retry policies and policy-driven merge paths to safely complete the workflow.