Find Untested Sources
Purpose
Coverage tools answer "which lines were executed?" — they require a green build
and a passing test run, which is minutes-to-tens-of-minutes on a real repo. The
question this skill answers is different and much cheaper:
Which source files have no test file referencing any of their declared
types/symbols?
That's the question an agent asks before writing a new test — and it can be
answered statically in a few seconds by parsing source files, with no build,
no dependency resolution, and no compilation. The output is a deterministic
test-pairing map that lets the agent pick the next file to test without reading
the entire codebase first.
Two engines — pick one
This skill ships two interchangeable analyzers with a compatible JSON contract:
| Engine | Script | Use when |
|---|
| Roslyn (C#) | scripts/Find-UntestedSources.cs | The repo is .NET-only. Parses every .cs file with the Roslyn syntax API and does strict namespace disambiguation, so it is materially more accurate on duplicated short names like Settings or Context. |
| tree-sitter (polyglot) | scripts/find_untested_sources.py | The repo is not exclusively C#, or you want one tool across Python, TypeScript/JavaScript, Go, Java, Rust, Ruby, and C#. |
For a .NET-only repository, prefer the Roslyn engine — its namespace-aware
pairing beats the polyglot engine's identifier overlap.
When to Use
- User asks "where should I add tests?", "which files have no tests?", "find
untested code", "give me a test gap list", "what's the next file to test".
- Before invoking a test-generation agent, to produce a prioritized worklist.
- After generating tests, to verify each new test file pairs to a source file.
- To enumerate "weakly paired" source files (only one referring test) for
follow-up depth checks.
When Not to Use
- Line/branch coverage — use
coverage-analysis.
- CRAP-score / risk hotspots — use
coverage-analysis.
- Are existing tests strong? — use
test-gap-analysis (mutation reasoning)
or assertion-quality.
Roslyn engine (C#)
Prerequisites
- .NET SDK that supports file-based apps (
dotnet run script.cs). Pinned in the
repo's global.json (SDK 11 preview or later).
- No internet access required beyond the initial NuGet restore of
Microsoft.CodeAnalysis.CSharp on first run.
Usage
# From the skill folder
dotnet run scripts/Find-UntestedSources.cs -- <repo-root> [--top N]
# Save the report
dotnet run scripts/Find-UntestedSources.cs -- <repo-root> > pairing.json
# Iterate the untested list, highest-API-surface first
$report = Get-Content pairing.json | ConvertFrom-Json
$report.untested | Select-Object -First 10 source, decl_count, suggested_test_path
Diagnostics go to stderr; JSON goes to stdout.
Output schema
{
"repo": "<absolute path>",
"elapsed_ms": 8883,
"counts": {
"source_files": 3036,
"test_files": 867,
"untested_files": 1852,
"paired_files": 1184
},
"untested": [
{
"source": "src/Foo/Bar.cs",
"decl_count": 8, // # of type declarations in the file
"suggested_test_path": // mirror of source under a discovered test project
"tests/Foo.Tests/Bar/BarTests.cs"
}
],
"source_to_tests": {
"src/Foo/Baz.cs": [
"tests/Foo.Tests/BazTests.cs",
"tests/Foo.IntegrationTests/Scenarios/BazScenarios.cs"
]
}
}
How it works
- File discovery — recursive walk pruning
bin/, obj/, node_modules/,
.git/, .vs/, packages/, and any dotted subdir. Skips generated files
(.g.cs, .Designer.cs, .AssemblyInfo.cs).
- Test vs source classification — walks up to the nearest
.csproj and
marks it a test project if the project name ends in .Tests, .Test,
.UnitTests, .IntegrationTests, .E2E, .EndToEnd, .Spec, .Specs, or
the content references Microsoft.NET.Test.Sdk, MSTest.Sdk,
Microsoft.Testing.Platform, xunit, NUnit, TUnit, or
<IsTestProject>true</IsTestProject>.
- Source index (parallel) — parse each source file with
CSharpSyntaxTree.ParseText (syntax only, no compilation); record every
BaseTypeDeclarationSyntax / DelegateDeclarationSyntax as
(ShortName, EnclosingNamespace, FilePath).
- Test scan (parallel) — parse each test file, collect
using directives +
enclosing namespace, walk every IdentifierToken, look it up in the
short-name index, and disambiguate strictly: an identifier is attributed
only if the declaration's namespace matches one of the test file's using
directives, the enclosing namespace, or a prefix of them. This avoids noise
where common names like Settings or Context match every project.
- Pairing & suggestion — invert into
source → [tests]. Build a
production-to-test project map from <ProjectReference> entries; for each
untested source, mirror its in-project relative path under the referencing
test project to suggest a path.
- JSON emit — ordered by declaration count desc, then alphabetical.
Polyglot engine (tree-sitter)
Prerequisites
- Python 3.10+.
pip install tree-sitter-language-pack (single self-contained wheel that
bundles parsers for 300+ languages and the high-level process() API). No
native build, no per-language grammar install.
Usage
# From the skill folder
python scripts/find_untested_sources.py <repo-root>
# Restrict to a language (repeatable)
python scripts/find_untested_sources.py <repo-root> --lang python --lang typescript
# Truncate the report (top 20 by declared API surface)
python scripts/find_untested_sources.py <repo-root> --limit-untested 20 > pairing.json
# Iterate, highest-API-surface first
$report = Get-Content pairing.json | ConvertFrom-Json
$report.untested_sources | Select-Object -First 10 path, declaration_count, suggested_test_path
Pass --include-tested to additionally emit tested_sources (omitted by
default to keep the payload small for LLM consumption). Diagnostics go to
stderr; JSON goes to stdout.
Output schema
{
"repo_root": "<absolute path>",
"summary": {
"source_files": 3138,
"test_files": 761,
"tested_source_files": 1419,
"untested_source_files": 1719,
"orphan_test_files": 15,
"languages": ["csharp"]
},
"untested_sources": [
{
"path": "src/Foo/Bar.cs",
"language": "csharp",
"declaration_count": 8,
"declarations": ["Bar", "BarOptions", "IBar", "..."],
"suggested_test_path": "src/Foo/BarTests.cs"
}
],
"orphan_tests": [
{ "path": "tests/SomeIntegrationTest.cs", "language": "csharp" }
]
}
How it works
-
File discovery — recursive walk pruning common build/vendor dirs (bin,
obj, node_modules, target, dist, build, vendor, __pycache__,
.venv, .git, …) and generated files (.d.ts, .g.cs, .Designer.cs,
_pb2.py, *.min.js, AssemblyInfo.cs, …).
-
Language detection — detect_language_from_path maps the extension to a
supported language; unknown extensions are skipped.
-
Test-vs-source classification — per-language path heuristics:
| Language | Test rule |
|---|
| Python | path contains tests//test/; or filename starts with test_ or ends _test.py; or conftest.py. |
| JS/TS/TSX | path contains __tests__, tests, test, spec, e2e; or filename contains .test./.spec.. |
| Go | filename ends _test.go. |
| Java | path contains test/tests; or filename ends Test.java/Tests.java. |
| Rust | path contains tests//benches/. |
| C# | path contains tests/; or project segment ends .Tests/.Test/.UnitTests/.IntegrationTests; or filename ends Tests/Test. |
| Ruby | path contains spec//test/; or filename ends _spec.rb/_test.rb. |
-
Per-file extraction — process(text, ProcessConfig(structure, imports, symbols)) returns declared items, raw import statements, and a flat declared
-name list.
-
Pairing — for each test file, union import resolution (per language,
e.g. Python from pkg.mod import x → pkg/mod.py; Java import a.b.C; →
a/b/C.java; C# using is namespace-not-file, so a no-op) with identifier
overlap (word-like tokens, length ≥ 4, matched against declared names).
-
JSON emit — untested_sources ordered by declaration count descending.
Limitations (be honest with the agent)
Both engines are static, parse-only heuristics that trade a little accuracy for
orders-of-magnitude lower cost than coverage. Known gaps:
- Reflection / DI-resolved types referenced only via a string name or
container resolution won't be detected — the type's short name never appears
in the test source.
- Extension methods invoked as instance methods (C#): the declaring static
class is not named, so its file is not credited.
var, target-typed new(), pattern matching lose the type token; the
file-level union usually still catches it through other references.
- Short identifier names (polyglot, < 4 chars) are dropped to avoid noisy
pairings on names like
id, db, Tag.
- Monorepo path aliases (TS path mapping, Java module-info) are not
resolved; a suffix-match fallback may pick the wrong source if two files share
a trailing path segment.
For these cases, run actual coverage (coverage-analysis) on the unpaired
candidates the agent has already triaged.
Outputs the agent should consume
untested[*].source / untested_sources[*].path — pick the next source file
to test (highest declaration count first).
*.suggested_test_path — drop-in target for the new test file; the Roslyn
engine honors the test project that already <ProjectReference>s the source's
project, so dotnet sln add is not needed.
source_to_tests (Roslyn) / --include-tested tested_sources (polyglot) —
verify a newly written test file lands in the list for the intended source.
orphan_tests (polyglot) — tests that don't reference any same-language
source file; useful for triaging stale or integration-only tests.