review

Automate code and research document reviews using AI agents.

2|Updated Jun 18, 2026
One-click install
npx skills add https://github.com/bllshttng/footnote --skill review-bllshttng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review
Source: https://github.com/bllshttng/footnote/tree/main/skills/review
Command: npx skills add https://github.com/bllshttng/footnote --skill review-bllshttng

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of code and research reviews, saving time and reducing errors.

Core Features & Use Cases

  • Code Review: Perform detailed code reviews with internal or cross-model peer reviews.
  • Research Verification: Verify research claims and evidence for a doc deliverable.
  • Self-Certification: Allow developers to self-certify code readiness for deployment.

Quick Start

Run a code review using /review sigma from a branch or PR.

Frequently Asked Questions about review

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

FAQPage Schema
How do I automate code reviews for pull requests?

Automate code reviews by running `/review sigma` from your branch or PR to leverage AI agents for detailed internal or cross-model peer reviews.

Can I use AI to verify research claims and evidence in a document?

Verify research claims by running the research review mode, which leverages AI agents to check the evidence and claims for your document deliverables.

What dependencies do I need to run AI-assisted code reviews?

AI-assisted code reviews require fno, gh, and git dependencies installed, alongside the task/agent tool for dispatching reviewers across various modes.

How does self-certification work for code deployment readiness?

Self-certification allows developers to declare code readiness for deployment by utilizing the declare review mode to validate their changes before release.

What is the best way to dispatch reviewers for cross-model peer reviews?

Dispatch reviewers for cross-model peer reviews by using the supported task/agent tool, which allocates AI agents to handle the sigma or peer review modes.

Does this review automation tool work without git?

No, git is a required dependency alongside fno and gh to automate the review process for code changes and research documents.