crit: Streamline Your AI Agent Feedback Loop
From the repo · “Review AI coding agents' plans, diffs and running apps in the browser. Local-first, works with any agent.”
Crit provides instant feedback for founders and developers using AI agents, particularly useful for automated code review
- •When you need to review code submissions from multiple contributors
- •When you want to automate the initial review process for code quality and standards
- •When you need to integrate AI-driven feedback into your development workflow
crit feedback -r https://github.com/tomasz-tomczyk/crit -c my-config.yml
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/crit && curl -fsSL https://workflowstacks.com/api/skills/crit/claude-skill -o ~/.claude/skills/crit/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Crit: Streamline Your AI Agent Feedback Loop is a very large Go project (~138k lines across 571 code files, plus 244 test files). You install it into your AI tool with one command; there is nothing to run yourself. Last commit this month, MIT license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3cmd/crit/main.goWhere the program starts running
- 4internal/config/cli.goInside internal/ — the main logic begins here
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/crit && curl -fsSL https://workflowstacks.com/api/skills/crit/claude-skill -o ~/.claude/skills/crit/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Do this with a working workflow
Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.
Review Reply Drafter
Draft personalized, on-brand replies to every customer review — including careful responses to negative ones. You approve before anything is posted.
Outcome guideAutomate replies to your customer reviews
The workflow reads your reviews and drafts a personalized reply for each: warm thanks for happy customers, careful and de-escalating for unhappy ones. Nothing posts automatically — you approve every draft.
MCP configGitHub MCP config
Search repos, read code, open issues and PRs from Claude.
Review Watchdog
Catch every bad review the day it lands — with a reply ready.
Includes the tested workflow and a written setup playbook. Needs: Google Places API key (free tier).
Related skills
More local-ai tools founders pair with this one.