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feat: Phase 1 improvements + AI-SEO optimization
Phase 1 Improvements: - Added fix suggestions and documentation links (educational output) - Added --strict flag for CI/CD blocking (exit code 2) - Added config validation with helpful error messages - Improved context-aware detection (eslint-disable, .d.ts) - Added GitHub Actions workflow template (.github/workflows/karpeslop.yml) - Added pre-commit hook template (.karpeslop/pre-commit) - Added example config file (.karpesloprc.example.json) - Removed AST analysis to stay fast and focused AI-SEO Optimization: - Added 20 keywords to package.json for discovery - Added experimental llms/llmsFull fields (McDonnell proposal) - Created codemeta.json (Schema.org SoftwareSourceCode) - Enhanced README with FAQ section for AI extractability - Added 'What is KarpeSlop?' section for clarity Keeps tool fast (~4s), focused on slop index, educational.
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‎.github/workflows/karpeslop.yml‎

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# KarpeSlop CI/CD Workflow for GitHub Actions
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# Add this file to your project's .github/workflows/ directory
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# It runs on every pull request to detect AI slop before merge
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name: KarpeSlop Check
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on:
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pull_request:
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branches: [main, master, develop]
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push:
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branches: [main, master]
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jobs:
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slop-check:
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name: Detect AI Slop
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runs-on: ubuntu-latest
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steps:
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- name: Checkout code
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uses: actions/checkout@v4
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- name: Setup Node.js
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uses: actions/setup-node@v4
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with:
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node-version: '20'
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- name: Run KarpeSlop
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run: npx karpeslop@latest --quiet --strict
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continue-on-error: false
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- name: Upload Slop Report
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if: always()
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uses: actions/upload-artifact@v4
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with:
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name: ai-slop-report
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path: ai-slop-report.json
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retention-days: 7
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# Optional: Comment on PR with slop summary
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comment-on-pr:
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name: Comment Results
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runs-on: ubuntu-latest
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needs: slop-check
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if: github.event_name == 'pull_request' && failure()
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steps:
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- name: Download Slop Report
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uses: actions/download-artifact@v4
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with:
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name: ai-slop-report
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- name: Comment on PR
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uses: actions/github-script@v7
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with:
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script: |
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const fs = require('fs');
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const report = JSON.parse(fs.readFileSync('ai-slop-report.json', 'utf8'));
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const body = `## 🐷 KarpeSlop Detection Report
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| Severity | Count |
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|----------|-------|
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| Critical | ${report.bySeverity.critical} |
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| High | ${report.bySeverity.high} |
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| Medium | ${report.bySeverity.medium} |
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| Low | ${report.bySeverity.low} |
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**Total Issues:** ${report.totalOccurrences}
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${report.bySeverity.critical > 0 ? '❌ **BLOCKING:** Critical issues detected (hallucinated imports)' : ''}
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See the full report in the Actions artifacts.`;
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github.rest.issues.createComment({
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issue_number: context.issue.number,
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owner: context.repo.owner,
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repo: context.repo.repo,
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body: body
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});

‎.karpeslop/pre-commit‎

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#!/bin/sh
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# KarpeSlop Pre-commit Hook
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# Copy this file to your project's .git/hooks/pre-commit (or use husky/lint-staged)
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# Make executable: chmod +x .git/hooks/pre-commit
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echo "🔍 Running KarpeSlop AI Slop detection..."
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# Run in quiet mode for faster CI checks, with strict mode to block on critical issues
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npx karpeslop@latest --quiet --strict
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exit_code=$?
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if [ $exit_code -eq 2 ]; then
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echo ""
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echo "❌ BLOCKED: Critical AI slop detected (hallucinated imports)."
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echo " Fix these issues before committing."
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exit 1
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elif [ $exit_code -eq 1 ]; then
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echo ""
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echo "⚠️ WARNING: AI slop detected, but commit allowed."
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echo " Consider addressing these issues soon."
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# Allow commit but warn (change to 'exit 1' to block on all issues)
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exit 0
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else
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echo "✅ No AI slop detected. Clean commit!"
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exit 0
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fi

‎.karpesloprc.example.json‎

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{
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"_comment": "KarpeSlop configuration file - copy to .karpesloprc.json in your project root",
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"customPatterns": [
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{
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"id": "company_banned_import",
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"pattern": "from\\s+['\"]lodash['\"]",
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"message": "Use lodash-es for tree-shaking",
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"severity": "medium",
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"fix": "Replace 'lodash' with 'lodash-es' or use individual imports like 'lodash/map'"
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},
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{
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"id": "deprecated_api_usage",
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"pattern": "componentWillMount|componentWillReceiveProps|componentWillUpdate",
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"message": "Deprecated React lifecycle method detected",
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"severity": "high",
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"fix": "Migrate to useEffect or the new lifecycle methods",
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"learnMore": "https://react.dev/reference/react/Component#legacy-lifecycle-methods"
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}
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],
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"ignorePaths": [
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"**/legacy/**",
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"**/vendor/**",
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"**/generated/**"
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],
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"severityOverrides": {
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"magic_css_value": "medium",
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"production_console_log": "low"
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},
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"blockOnCritical": true
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}

‎.karpesloprc.json‎

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{
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"customPatterns": [
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{
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"id": "test_custom_pattern",
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"pattern": "CUSTOM_TEST_MARKER",
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"message": "Custom pattern successfully detected!",
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"severity": "high",
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"fix": "This is a test - remove CUSTOM_TEST_MARKER"
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}
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]
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}

‎README.md‎

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> "Because `any` is the mind virus of our generation."
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> — probably @karpathy
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The first linter that detects **all three axes of AI slop**:
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## What is KarpeSlop?
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1. Information Utility (Noise)
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2. Information Quality (Hallucinations & Lies)
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3. Style / Taste (Soul)
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**KarpeSlop is a fast, opinionated linter for detecting AI-generated code problems in TypeScript and JavaScript.** Inspired by Andrej Karpathy's call for an "AI Slop Index," it detects the three axes of AI slop:
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Currently speaks fluent **TypeScript / JavaScript / React / Next.js**.
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Python support coming when the pigs learn to fly.
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1. **Information Utility (Noise)** — Redundant comments, boilerplate, debug logs
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2. **Information Quality (Lies)** — Hallucinated imports, incorrect assumptions, TODO placeholders
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3. **Style / Taste (Soul)** — Overconfident comments, hedging language, "vibe coding" patterns
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**Use case:** Clean up code generated by Copilot, ChatGPT, Claude, or other AI coding assistants.
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## Quick Answers: Common Questions
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**Q: How do I check my code for AI slop?**
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```bash
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npx karpeslop@latest
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```
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**Q: What's the fastest way to scan for AI code quality issues?**
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Run `npx karpeslop@latest --quiet` in your project directory. Takes ~4 seconds.
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**Q: How do I block AI slop in CI/CD?**
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Use `npx karpeslop@latest --strict` — exits with code 2 if critical issues (like hallucinated imports) are found.
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**Q: Does KarpeSlop detect hallucinated imports?**
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Yes! It catches imports like `import { useRouter } from 'react'` (should be `'next/router'`).
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**Q: What languages does KarpeSlop support?**
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TypeScript, JavaScript, React, and Next.js. Python support is not yet available.
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---
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## Installation
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- `--help, -h`: Show help message
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- `--quiet, -q`: Run in quiet mode (only scan core app files)
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- `--strict, -s`: Exit with code 2 if critical issues found (for CI/CD)
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- `--version, -v`: Show version information
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### Exit Codes
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- `0`: No issues found
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- `1`: Issues found (warnings)
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- `2`: Critical issues found (with `--strict` flag) — blocks CI
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### The Three Axes of AI Slop
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1. **Information Utility (Noise)**: Comments, boilerplate, debug logs, etc.
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- **Comment Quality**: Flags hedging, overconfident, and redundant comments
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- **Import Validation**: Catches hallucinated imports (e.g., React APIs in wrong packages)
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- **Code Quality**: Finds TODOs, assumptions, and poor coding practices
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- **Educational Output**: Shows fix suggestions and documentation links
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- **CI/CD Ready**: `--strict` flag for blocking on critical issues
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### Educational Output
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Every issue includes actionable guidance:
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```
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📍 Pattern: any_type_usage
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💡 Fix: Replace with 'unknown' and use type guards
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📚 Learn more: https://www.typescriptlang.org/docs/handbook/2/narrowing.html
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```
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## Configuration (Optional)
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Create `.karpesloprc.json` in your project root:
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```json
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{
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"customPatterns": [
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{
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"id": "banned_import",
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"pattern": "from\\s+['\"]lodash['\"]",
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"message": "Use lodash-es for tree-shaking",
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"severity": "medium",
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"fix": "Replace 'lodash' with 'lodash-es'"
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}
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],
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"severityOverrides": {
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"magic_css_value": "low"
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},
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"ignorePaths": ["**/legacy/**"]
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}
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```
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## CI/CD Integration
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### GitHub Actions
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```yaml
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- name: Check for AI Slop
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run: npx karpeslop@latest --quiet --strict
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```
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See `.github/workflows/karpeslop.yml` for a complete workflow example.
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![KarpeSlop Example Output](./Screenshot.png)
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