CLI tool for detecting and cleaning AI artifacts in your documentation. Batch process with parallel "tentacles" to keep your voice authentic and your content polished.
$ slopsquid scan docs/ --threads=8
--interactive
Deploy multiple worker "tentacles" to process files simultaneously. Batch scan entire directory trees with configurable thread pools.
Identify corporate speak, buzzwords, and artificial writing patterns using advanced heuristic analysis and local AI models.
All AI analysis happens offline using local models. No cloud APIs, no data transmission, complete privacy by design.
Review each detection with confidence scoring. Accept, reject, or learn from corrections to improve future scans.
Seamlessly integrates with uroboro for decision logging and osmotic for awareness patterns. Part of the QRY ecosystem.
Works with Markdown, HTML, plain text, and code comments. Perfect for documentation, README files, and content creation.
Recursively scan directories, filter by patterns, or target specific files. Git integration for staged file processing.
slopsquid scan docs/ --recursive
Multiple worker threads grab files in parallel and analyze content using local AI models with shared pattern detection.
--threads=8 --model=llama3.2:1b
Mark AI artifacts with confidence scoring. Interactive review, automated cleanup, or integration with your development workflow.
slopsquid clean --interactive
--confidence=0.8
# Scan single file
slopsquid scan README.md
# Parallel directory processing
slopsquid scan docs/ --recursive
--threads=8
# Pre-commit integration
slopsquid scan --git-staged
# Interactive mode with confidence
filtering
slopsquid clean docs/ --interactive
--confidence=0.8
# Auto-fix obvious patterns
slopsquid clean docs/ --auto-fix --safe
# Preview changes only
slopsquid clean docs/ --dry-run
# Log to uroboro for decision tracking
slopsquid scan
--uroboro-project=doc-cleanup
# Stream insights to osmotic
slopsquid scan --osmotic-feed
# Learn from corrections
slopsquid train file.md
Clean up AI-assisted documentation, README files, and code comments. Pre-commit hooks for quality assurance.
Maintain authentic voice across documentation projects. Remove AI artifacts while preserving meaning.
Polish drafts and articles by removing artificial writing patterns. Keep your unique voice consistent.
Integrate with uroboro, osmotic, and the broader QRY ecosystem for systematic content creation.
SlopSquid CLI is in active development. The core architecture is complete and implementation is underway.
curl -sSL https://slopsquid.com/install |
bash
git clone
https://github.com/QRY91/slopsquid
cd slopsquid
go build -o slopsquid ./cmd/slopsquid