unslop-review

Rewrite PR review comments to be direct and human-sounding.

91|2|Updated Apr 19, 2026
One-click install
npx skills add https://github.com/MohamedAbdallah-14/unslop --skill unslop-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: unslop-review
Source: https://github.com/MohamedAbdallah-14/unslop/tree/main/plugins/unslop/skills/unslop-review
Command: npx skills add https://github.com/MohamedAbdallah-14/unslop --skill unslop-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Rewrites code review comments so they read like a human teammate wrote them. Cuts corporate-AI throat-clearing ("I noticed...", "I was wondering if perhaps...", "It might be worth considering..."). Each comment is direct: location, the issue, a concrete fix.

Core Features & Use Cases

  • Rewrite PR review comments to sound human, not robotic.
  • Preserve location and issue while providing a concrete, actionable fix.
  • Auto-triggers during PR reviews and across common languages.

Quick Start

Rewrite a PR review comment to be direct, actionable, and human-sounding.

Frequently Asked Questions about unslop-review

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

FAQPage Schema
How do I make AI code review comments sound more human?

Rewriting PR review comments involves removing corporate hedging phrases like "It might be worth considering" while preserving the location, issue, and concrete fix. This ensures code review feedback reads like a direct, actionable human teammate suggestion.

How do I write pull request feedback that is direct and actionable?

Writing direct pull request feedback requires clearly stating the issue and recommended fix without hedging. Rewrite feedback to remove throat-clearing phrases and preserve explicit references, ensuring the comment remains actionable across common languages and diff contexts.

Does this PR comment humanizer work across different programming languages?

Yes, this PR comment humanizer works across common languages and diff contexts. It rewrites code review comments to sound human by removing hedging phrases and preserving explicit references, ensuring feedback remains direct regardless of the programming language.

What is the best way to automate peer feedback for pull requests?

The best way to automate peer feedback is to rewrite PR comments directly, removing corporate-AI hedging and preserving the location, issue, and concrete fix. This approach ensures feedback sounds like a human teammate while maintaining actionable formatting expectations.

Why do my automated code reviews sound robotic and hedged?

Automated code reviews sound robotic due to corporate-AI throat-clearing phrases like "I was wondering if perhaps." Rewriting these comments to directly state the issue and concrete fix eliminates hedging and makes the feedback sound like a human teammate.

Can I preserve explicit code references when rewriting PR review comments?

Yes, you can preserve explicit code references when rewriting PR review comments. The rewriting process keeps explicit references intact while removing throat-clearing phrases, ensuring the location, issue, and concrete fix remain clear and actionable.