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FaserF / ha-kadermanager

pythonmain39e7b324.1K linessynced 14h ago

Code health

6.8out of 10Good

This codebase scores 6.8 out of 10 on defect risk, which we rate good. It also scores maintainability 7.8 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: 2 of 40 files are git hotspots, and they average 4.3.

Full health report →
Documentation29pages0 with model-written prose, 29 built from the indexDead code3exportsUnused exports that nothing in the graph reaches
Lines of code
4.1K
Files
40
Symbols
144
Modules
4
Languages
4

Recent activity

All commits →

Commits

No commits indexed yet.

Decisions

  • Privacy-safe diagnostic output omits player-identifying detailsproposed · 14h ago

Needs attention

16 open
  • medium severity. ProposedPrivacy-safe diagnostic output omits player-identifying detailsAuto-proposed decision awaiting review
  • medium severity. Ungoverned.github/scripts/update_templates.pyHigh-churn file with no governing decision
  • medium severity. Ungoverned.github/scripts/version_manager.pyHigh-churn file with no governing decision
  • medium severity. Knowledge silo.github/scripts/calculate_release_details.py98% single-owner concentration
  • medium severity. Knowledge silo.github/scripts/changelog_builder.py100% single-owner concentration

Where the risk concentrates

All 2 hotspots →

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

FileChurnPrior fixesMaintainersCommits 90d
update_templates.py.github/scripts89.5th029
version_manager.py.github/scripts84.2th31bus factor 14

Composition

Open the graph →
python 48%yaml 25%json 18%markdown 10%

Explore this codebase

  • Docs29 pages across 4 modules→
  • ChatAsk this codebase a question and get an answer with its sources→
  • Files40 files with per-file docs, health and history→
  • ArchitectureDependency graph, layers, and 0 entry points→
  • Code healthPer-file scores, 101 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→