- category
- quality-scorer
- maturity
- emerging
- approach
- Offline static analyzer running 27 pattern checks across five categories (placeholders, structural issues, cross-language syntax errors, Python-specific patterns, phantom imports) and combining four metric axes (Logic Density Ratio, Inflation Check Ratio, Dependency Usage Check, Purity) into a weighted geometric-mean deficit score (0-100) per file.
- access
- open-source
- owns
- A static-analysis CLI (PyPI: ai-slop-detector) for Python, JavaScript/TypeScript, and Go that flags AI-generated code that looks finished but is structurally hollow (empty functions with real-looking bodies, imports of nonexistent modules, dead pipelines); built by Flamehaven Labs, MIT-licensed.
- distinctFrom
- Unlike text- or web-design-focused slop scorers (SlopDetector, slop-detect.com) or media-authenticity detectors, this targets source code specifically, and distinguishes itself from traditional linters (ruff, pylint, ESLint) by checking structural plausibility rather than style.
- notes
- Confirmed verbatim in the PyPI project description. Maintained by Flamehaven Labs (github.com/flamehaven01/AI-SLOP-Detector); version 3.8.7 released July 10, 2026. Runs fully offline with no API keys or model downloads; integrates with Claude Code and VS Code. Not previously tracked; distinct modality (code) not covered by any existing quality-scorer entry.
