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repowisegithub/spec-kit

github / spec-kit

💫 Toolkit to help you get started with Spec-Driven Development

Python111,393github.com/github/spec-kit
Indexed at1b0556c·2mo ago·Up to date with upstream
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Code health

6.6out of 10Good

github/spec-kit scores 6.6 out of 10 on defect risk, which Repowise rates Good. 39 of 337 files are git hotspots, the places where changes and bug fixes concentrate.

Full health report
Defect risk6.6/10 · Good
Files
337
Symbols
3.4k
Modules
65
Doc pages
0
Dead exports
1

Where the risk concentrates

All 39 hotspots

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

FileChurnPrior fixesMaintainersCommits 90d
__init__.pysrc/specify_cli99.4th %ile376893
extensions.pysrc/specify_cli97.8th %ile202735
test_extensions.pytests98.9th %ile

Read more about github/spec-kit

  • OverviewFiles, symbols, languages, packages, git intelligence
  • ArchitectureDependency graph, layered architecture, symbol index, and third-party dependencies
  • Code healthPer-file health scores, hotspots, test coverage, dead code, and refactoring targets
  • AI explanationsProModule-by-module documentation generated from source

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Code health badge

Average health across every file, straight from the latest index.

Code health badge showing the average health score out of 10
[![Code health](https://api.repowise.dev/badge/health/github/spec-kit.svg)](https://repowise.dev/repo/github/spec-kit)

How github/spec-kit works

💫 Toolkit to help you get started with Spec-Driven Development This page is an auto-generated, always-fresh map of the github/spec-kit repository, written primarily in Python. Repowise indexes the source, parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.

The codebase has 337 source files, 3,352 symbols, and 6 languages, organised into 65 modules, led by python, markdown, yaml. Static analysis leaves 1,264 open findings across the three health dimensions.

Use the links above to open the interactive dashboards, or connect this repo to your editor via the Repowise MCP server for grounded answers inside Claude, Cursor, or VS Code.

17
23
36
test_presets.pytests98.3th %ile131630
presets.pysrc/specify_cli95.6th %ile121424
test_cli.pytests/integrations96.1th %ile101026
  • CommitsChange-risk ranked history with AI-agent provenance and hotspots
  • ContributorsBus-factor, per-file maintainer maps, and human/agent collaboration
  • DecisionsArchitectural decisions extracted from commits and PRs
  • Chat with this repoSign inProAsk grounded questions over the indexed code