keygraphhq / shannon
Shannon is an autonomous, white-box AI pentester for web applications and APIs. It analyzes your source code, identifies attack vectors, and executes real exploits to prove vulnerabilities before they reach production.
Code health
keygraphhq/shannon scores 7.6 out of 10 on defect risk, which Repowise rates Good. Maintainability scores 8.6 out of 10. Static performance risk scores 9.9 out of 10. The three are scored separately and never blended into a single number. 12 of 135 files are git hotspots, the places where changes and bug fixes concentrate.
Full health report- Files
- 135
- Symbols
- 816
- Modules
- 36
- Doc pages
- 0
- Dead exports
- 32
Where the risk concentrates
All 12 hotspotsRanked by prior bug fixes and change frequency, mined from the full git history rather than from the code alone.
| File | Churn | Prior fixes | Maintainers | Commits 90d |
|---|---|---|---|---|
| activities.tsapps/worker/src/temporal | 98.9th %ile | 1 | 1bus factor 1 | 9 |
| docker.tsapps/cli/src | 96.8th %ile | 1 | 1bus factor 1 | 5 |
| start.tsapps/cli/src/commands |
Read more about keygraphhq/shannon
- 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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[](https://repowise.dev/repo/keygraphhq/shannon)Code health badge
Average health across every file, straight from the latest index.
[](https://repowise.dev/repo/keygraphhq/shannon)How keygraphhq/shannon works
Shannon is an autonomous, white-box AI pentester for web applications and APIs. It analyzes your source code, identifies attack vectors, and executes real exploits to prove vulnerabilities before they reach production. This page is an auto-generated, always-fresh map of the keygraphhq/shannon repository, written primarily in TypeScript. 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 135 source files, 816 symbols, and 7 languages, organised into 36 modules, led by typescript, markdown, json. Static analysis leaves 299 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.