schluegge / ToolOS
tomlmain4c37a6a6.5K linessynced 1d ago
Code health
8.5out of 10Excellent
This codebase scores 8.5 out of 10 on defect risk, which we rate excellent. It also scores maintainability 9.2 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: 3 of 61 files are git hotspots, and they average 7.5.
- Lines of code
- 6.5K
Recent activity
All commitsCommits
No commits indexed yet.
Needs attention
14 open- medium severity. ProposedAdd metadata-first ZIP safety inspectionAuto-proposed decision awaiting review
- medium severity. Ungovernedapps/toolos-daemon/src/main.rsHigh-churn file with no governing decision
- medium severity. Ungovernedapps/toolos-ui/src/App.tsxHigh-churn file with no governing decision
- medium severity. Ungovernedcrates/toolos-winget/src/lib.rsHigh-churn file with no governing decision
- medium severity. Knowledge siloadapters/toolos-system-adapter/src/main.rs100% single-owner concentration
Where the risk concentrates
All 3 hotspotsRanked by prior bug fixes and change frequency, mined from full git history rather than from the code alone.
| File | Churn | Prior fixes | Maintainers | Commits 90d |
|---|---|---|---|---|
| main.rsapps/toolos-daemon/src | 95.0th | 0 | 1bus factor 1 | 5 |
| lib.rscrates/toolos-winget/src | 90.0th | 0 | 1bus factor 1 | 3 |
| App.tsxapps/toolos-ui/src | 80.0th | 0 | 1bus factor 1 | 4 |
Composition
Open the graphtoml 25%json 25%rust 23%markdown 13%typescript 10%Other 5%
Explore this codebase
- Docs53 pages across 16 modules
- ChatAsk this codebase a question and get an answer with its sources
- Files61 files with per-file docs, health and history
- ArchitectureDependency graph, layers, and 18 entry points
- Code healthPer-file scores, 47 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