Smart PR Review — AI skill for Claude Code
git clone https://github.com/fullstackcrew-alpha/skill-smart-pr-review Opinionated AI code reviewer with 6-layer deep review, Devil's Advocate mode, and standardized MUST FIX / SHOULD FIX / SUGGESTION output for TS/JS….
How to install Smart PR Review
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open fullstackcrew-alpha/skill-smart-pr-review and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Smart PR Review does
An AI code reviewer with opinions. Not a yes-machine.
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README
🔍 Smart PR Review
An AI code reviewer with opinions. Not a yes-machine.
[](https://github.com/fullstackcrew-alpha/skill-smart-pr-review/stargazers) [](https://clawhub.ai/s/smart-pr-review) [](LICENSE) [](https://www.typescriptlang.org/) [](SKILL.md)
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Why Another Code Review Tool?
Most AI code review tools are **yes-machines** — they surface linting issues, suggest minor refactors, and approve everything else. Smart PR Review is different: it acts like a **Staff Engineer who's seen production meltdowns** and won't let your code ship until the hard questions are answered.
| Feature | GitHub Copilot Code Review | Smart PR Review |
|---|---|---|
| Review stance | Suggests | Judges |
| Says "this approach is wrong" | Rarely | Yes, in the Summary |
| Review depth | Line-level suggestions | 6-layer deep analysis |
| Devil's Advocate mode | No | Built-in |
| Architectural review | Limited | Dedicated layer |
| Output format | Inline comments | Structured report (paste-ready) |
| Security audit | Basic | Dedicated layer with OWASP checks |
| Severity discipline | Flat suggestions | MUST FIX / SHOULD FIX / SUGGESTION |
| Webhook automation | Built-in | Self-hosted via index.ts |
| Language-specific checks | Generic | TS/JS, Python, Go, Rust specific |
Overview
Smart PR Review is an opinionated AI code reviewer that performs **6-layer deep analysis** with a **Devil's Advocate mechanism** — it actively challenges your assumptions and stress-tests your code against real-world failure modes.
It doesn't just check *if* your code works. It asks: *what happens when it doesn't?*
**Core values:**
- Direct — "This approach is wrong" beats "This is an interesting choice"
- Actionable — Every issue comes with replacement code, not vague advice
...
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