find-untested-sources

Parse-only static analysis that pairs source files with the tests referencing them and emits JSON listing untested files ordered by API surface, each with a suggested_test_path. Roslyn engine for C#/.NET (namespace-aware), tree-sitter engine for polyglot repos (Python, TS/JS, Go, Java, Rust, Ruby). USE FOR: where to write tests next, which files have no tests, find untested code, build a source-to-test pairing map, prioritized test-gap worklist. DO NOT USE FOR: line/branch coverage or CRAP risk (use coverage-analysis); whether existing tests are strong (use test-gap-analysis or assertion-quality). It's a reusable SKILL.md instruction set that loads into your AI coding assistant on demand, no prompt engineering, no copy-pasting every session.

Run `npx @skills-hub-ai/cli install dotnet-find-untested-sources` from your terminal. The CLI writes the SKILL.md to the correct location for your AI tool (e.g. ~/.claude/skills/dotnet-find-untested-sources/ for Claude Code or ~/.cursor/skills/ for Cursor with --target cursor) and adds it to your project's .skills.json lockfile.

find-untested-sources runs in Claude Code. It follows the open Agent Skills standard (SKILL.md), so the same skill works in every supported tool without modification.

Yes. Every skill on skills-hub.ai is free and open-source. There are no premium tiers, paywalls, or usage limits. You only pay for whatever AI assistant you're already using.

In Claude Code, type `/dotnet-find-untested-sources` (or whatever slash command the skill registers) and the AI follows the skill's instructions immediately. You can also reference it by name in natural language, your AI loads the skill into context when relevant.

Yes. Commit your project's .skills.json lockfile and teammates run `npx @skills-hub-ai/cli install` (no args) to install every skill at the exact version you pinned. Organization-scoped installs work via skills-hub.ai organizations.