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lodestar-review

Automate multi-persona code reviews for ChainSafe/lodestar pull requests.

4|1|Updated Feb 20, 2026
Search Tags:#code review#pull request#ai agents#ethereum#lodestar#consensus client
One-click install
npx skills add https://github.com/lodekeeper/dotfiles --skill lodestar-review
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lodestar-review
Source: https://github.com/lodekeeper/dotfiles/tree/main/skills/lodestar-review
Command: npx skills add https://github.com/lodekeeper/dotfiles --skill lodestar-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gh, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of conducting thorough, multi-persona code reviews on pull requests for the Lodestar Ethereum consensus client, ensuring code quality, security, and adherence to project standards.

Core Features & Use Cases

  • Multi-Persona Review: Spawns specialized AI agents (Bug Hunter, Security Engineer, Architect, etc.) to analyze code from different perspectives.
  • Contextual Analysis: Leverages Lodestar-specific knowledge and PR diffs for targeted reviews.
  • Automated Reporting: Consolidates findings into actionable inline review comments on GitHub.
  • Use Case: When a new feature is submitted as a PR to the Lodestar repository, this Skill can be invoked to perform an immediate, comprehensive review, identifying potential bugs, security flaws, and architectural inconsistencies before human review.

Quick Start

Use the lodestar-review skill to review pull request number 1234 for the ChainSafe/lodestar repository.

Frequently Asked Questions about lodestar-review

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

FAQPage Schema
How do I automate AI code review for Ethereum consensus client pull requests?▼

Automated AI code review for Ethereum consensus client pull requests is done by spawning specialized agents to analyze PR diffs and post inline GitHub comments. This Skill targets Lodestar repositories to identify functional bugs, security vulnerabilities, and architectural concerns.

Does automated PR review require the gh CLI to fetch diffs and post comments?▼

Yes, automated PR review requires the gh CLI to fetch pull request diffs and interact with the GitHub API for posting inline review comments. The Skill depends on this command-line tool to access repository data and output consolidated findings.

What is multi-persona AI code review and how does it analyze Lodestar PRs?▼

Multi-persona AI code review analyzes Lodestar PRs by spawning specialized agents like Bug Hunter, Security Engineer, and Architect. Each agent examines the diff from a distinct perspective to identify style deviations, security flaws, and architectural inconsistencies before human review.

Can I use AI agents to find security vulnerabilities and architectural issues in Lodestar?▼

You can use AI agents to find security vulnerabilities and architectural issues in Lodestar by applying contextual analysis directives to PR diffs. The agents evaluate code from multiple perspectives to detect bugs and architectural concerns, outputting actionable inline GitHub review comments.

How to review ChainSafe/lodestar pull requests for style deviations and bugs?▼

Reviewing ChainSafe/lodestar pull requests for style deviations and bugs involves invoking this Skill with a PR number. It automates multi-persona code reviews by applying Lodestar-specific knowledge to the diff, generating inline GitHub comments for identified issues.

What are the limitations of using AI agents for consensus client code review?▼

AI agents for consensus client code review are limited to analyzing the provided PR diff and Lodestar-specific context, posting findings as inline GitHub comments. They cannot execute code or run tests, serving as a preliminary check before human review rather than a complete replacement.

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