Projects · · 1 min read

De-Slop

Kief Studio
Chrome Extension: AI Slop Detection & Removal

A Chrome extension that automatically detects and removes AI-generated "slop" content from web pages and social media.

Links

  • GitHub
  • Chrome Web Store: Coming soon

Features

Core Detection

  • Three-tier detection system with weighted pattern matching (180+ patterns)
  • Real-time scanning of dynamically loaded content
  • Badge counter showing blocked slop on current page
  • Configurable sensitivity (1-5 slider)
  • Custom pattern editor - add your own slop patterns with custom weights

Interactive Tools

Slop Checker

  • Paste text and see what gets flagged in real-time
  • Markdown rendering support
  • Real-time highlighting
  • Match explanations

Slop Machine

  • Gamified learning tool with slot machine interface
  • Discover better word choices
  • Full searchable index of 90+ slop terms and alternatives
  • Track your progress

LinkedIn Fixer

When on LinkedIn.com, additional features activate:

  • Block auto-play videos
  • Block ad tracking
  • Darker mode - true black LinkedIn theme

Advanced Features

  • Emoji slop detection - flag emoji spam and engagement bait
  • Stop-word filtering - detect "I'm excited to announce" style posts
  • Em dash detector - AI loves em dashes
  • Export/import custom pattern sets

Scoring Thresholds

| Sensitivity | Threshold | Description |

|------------|-----------|-------------|

| 1 | 15 points | Very conservative - obvious AI only |

| 2 | 12 points | Conservative |

| 3 | 9 points | Balanced (default) - AI + corporate |

| 4 | 6 points | Aggressive - includes marketing |

| 5 | 4 points | Nuclear - maximum detection |


Platform Support

  • LinkedIn: .feed-shared-update-v2 (individual posts)
  • Twitter/X: [data-testid="tweet"]
  • Medium: article, .postArticle
  • All sites: Generic article/post/card selectors

Privacy

De-Slop:

✓ Runs entirely locally - no data sent to servers

✓ Stores settings in Chrome sync storage

✓ No analytics or tracking

✓ No external API calls

✓ Open source - inspect the code


Known Limitations

  • Pattern-based detection may have false positives
  • Very short content (<100 chars) skipped to reduce false positives
  • Platform selectors may need updates when sites change
  • If your entire LinkedIn feed disappears - it's all slop! Lower sensitivity.

Credits

Made by Kief Studio

Developed by HxHippy

License: GNU General Public License v3.0 (GPL-3.0)
Open Source | GPL-3.0 License