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repowiseflamehaven01/ai-slop-detector
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flamehaven01 / ai-slop-detector

pythonmaind1cf73758.2K linessynced 14h ago

Code health

8.3out of 10Excellent

This codebase scores 8.3 out of 10 on defect risk, which we rate excellent. It also scores maintainability 9.3 and static performance risk 9.9 out of 10. The three are scored separately and never blended into one number. The files you change most are the weak spot: 18 of 226 files are git hotspots, and they average 5.5.

Full health report →
Documentation265pages0 with model-written prose, 265 built from the indexScore validation18/202.24× baselineOf the 20 lowest-health files, 18 were bug-fixed in the last 6 months — 2.24× the 40% baselineDead code15exportsUnused exports that nothing in the graph reaches
Lines of code
58.2K
Files
226
Symbols
2,190
Modules
11
Languages
10

Recent activity

All commits →

Commits

No commits indexed yet.

Decisions

  • Update ML dataset loading and adjust RandomForest handling for class imbalanceproposed · 14h ago
  • Preserve user config during init and tighten dead-code semanticsproposed · 14h ago
  • Implement annotation type-hint detection and migrate to v2.x APIproposed · 14h ago
  • vscode: P1 presentation foundation - UX manifest + npm-API data layerproposed · 14h ago
  • v3.5.0 self-calibration patches P1-P3+P5proposed · 14h ago

Needs attention

35 open
  • medium severity. ProposedUpdate ML dataset loading and adjust RandomForest handling for class imbalanceAuto-proposed decision awaiting review
  • medium severity. ProposedPreserve user config during init and tighten dead-code semanticsAuto-proposed decision awaiting review
  • medium severity. ProposedImplement annotation type-hint detection and migrate to v2.x APIAuto-proposed decision awaiting review
  • medium severity. Proposedvscode: P1 presentation foundation - UX manifest + npm-API data layerAuto-proposed decision awaiting review
  • medium severity. Proposedv3.5.0 self-calibration patches P1-P3+P5Auto-proposed decision awaiting review

Where the risk concentrates

All 18 hotspots →

Ranked by prior bug fixes and change frequency, mined from full git history rather than from the code alone.

FileChurnPrior fixesMaintainersCommits 90d
cli.pysrc/slop_detector99.4th15bug magnet210
test_ci_gate.pytests98.9th5bug magnet34
operations.pysrc/slop_detector98.3th5bug magnet1bus factor 114
test_core.pytests97.7th7bug magnet314
core.pysrc/slop_detector97.1th8bug magnet210

Composition

Open the graph →
python 63%markdown 14%typescript 11%yaml 4%json 3%Other 4%

Explore this codebase

  • Docs265 pages across 11 modules→
  • ChatAsk this codebase a question and get an answer with its sources→
  • Files226 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 24 entry points→
  • Code healthPer-file scores, 679 open findings, coverage and refactoring targets→
  • Knowledge graphEntities, communities, and the paths between them→
  • Change couplingFiles that keep changing together, mined from commit history→
  • CommitsChange-risk ranked history with agent provenance→
  • ContributorsBus factor, per-file maintainers, and the human/agent split→
  • StatsSize class, origin, lifetime churn, rhythm and records→
  • CostsWhat indexing this snapshot cost, by model and by run→