# aggressive-review

> Manually trigger aggressive code review with 95/100 scoring threshold

- Author: AWPaterson
- Repository: AWPaterson/Evil-Ralph
- Version: 20260127132716
- Stars: 0
- Forks: 0
- Last Updated: 2026-02-06
- Source: https://github.com/AWPaterson/Evil-Ralph
- Web: https://mule.run/skillshub/@@AWPaterson/Evil-Ralph~aggressive-review:20260127132716

---

---
name: aggressive-review
description: Manually trigger aggressive code review with 95/100 scoring threshold
context: fork
agent: score-orchestrator
---

# Aggressive Code Review Skill

This skill allows you to manually trigger the Evil Ralph review loop on existing code.

## Usage

```
/evil-ralph:aggressive-review <file_path>
```

## What It Does

1. Spawns the score-orchestrator agent
2. Orchestrator launches 5 review agents in parallel:
   - Security Auditor (25%)
   - Functionality Validator (25%)
   - Test Coverage Analyzer (20%)
   - Code Quality Expert (15%)
   - Performance Reviewer (15%)
3. Aggregates scores and provides pass/fail verdict
4. Returns detailed feedback with specific issues and recommendations

## Example

```bash
/evil-ralph:aggressive-review src/auth/login.ts
```

This will analyze `src/auth/login.ts` and provide a comprehensive review report.

## Arguments

- `$ARGUMENTS` - The file path to review (required)

## Output

You will receive:
- Aggregate score (0-100)
- Individual dimension scores
- Pass/fail verdict (≥95 = pass)
- Detailed issues with locations
- Specific recommendations for improvement
- Strengths identified in the code

## Notes

- This skill runs in a forked context for isolation
- Uses the score-orchestrator agent as the execution agent
- All 5 review agents run in parallel for efficiency
- Scoring uses weighted average based on dimension importance