test-framework-detection

name	Test Framework Detection
description	Detection scripts and patterns for identifying test frameworks across all supported languages. Use when detecting test infrastructure, analyzing project testing setup, identifying coverage tools, or when user mentions test detection, framework identification, testing setup analysis.

Test Framework Detection

CRITICAL: The description field above controls when Claude auto-loads this skill.

Overview

Provides detection scripts and patterns for identifying installed test frameworks, coverage tools, CI workflows, and testing infrastructure across JavaScript/TypeScript, Python, Go, and Rust projects.

Instructions

1. Detection Strategy

Detection uses a confidence scoring approach (mirrors stack-detector pattern):

• Evidence file exists + dependency declared = high confidence match
• Evidence file only = medium confidence (may be leftover)
• Dependency only = low confidence (installed but not configured)

2. Running Detection

Full detection orchestrator:

bash scripts/detect-test-frameworks.sh [project-path]

Language-specific detection:

bash scripts/detect-node-testing.sh [project-path]    # Jest, Vitest, Mocha, AVA
bash scripts/detect-python-testing.sh [project-path]   # pytest, unittest, nose2
bash scripts/detect-go-testing.sh [project-path]       # go test, testify
bash scripts/detect-rust-testing.sh [project-path]     # cargo test, criterion
bash scripts/detect-ci-workflows.sh [project-path]     # GitHub Actions, GitLab CI

3. Detection Patterns

JavaScript/TypeScript:

Framework	Evidence Files	Dependencies
Vitest	vitest.config.ts, vitest.config.js	vitest in devDependencies
Jest	jest.config.js, jest.config.ts, jest.config.mjs	jest in devDependencies
Mocha	.mocharc.yml, .mocharc.json, .mocharc.js	mocha in devDependencies
AVA	ava.config.js, ava.config.cjs	ava in devDependencies
Playwright	playwright.config.ts, playwright.config.js	@playwright/test in devDependencies

Python:

Framework	Evidence Files	Dependencies
pytest	pytest.ini, pyproject.toml [tool.pytest], setup.cfg [tool:pytest], conftest.py	pytest in requirements/pyproject
unittest	test_*.py files with import unittest	stdlib (always available)
nose2	unittest.cfg, setup.cfg [unittest]	nose2 in requirements

Go:

Framework	Evidence Files	Dependencies
go test	*_test.go files	stdlib (always available)
testify	*_test.go with testify imports	github.com/stretchr/testify in go.mod

Rust:

Framework	Evidence Files	Dependencies
cargo test	#[cfg(test)] modules, tests/ directory	stdlib (always available)
criterion	benches/ directory	criterion in Cargo.toml dev-dependencies

4. Coverage Tool Detection

Tool	Language	Evidence
v8/c8	Node.js	c8 in devDependencies or --coverage in test script
istanbul/nyc	Node.js	nyc in devDependencies
coverage.py	Python	coverage in requirements, .coveragerc
go cover	Go	Built-in, go test -cover
tarpaulin	Rust	cargo-tarpaulin installed

5. Output Format

Detection writes an expanded testing key to .claude/project.json:

{
  "testing": {
    "unit": {
      "framework": "vitest",
      "config": "vitest.config.ts",
      "command": "npm run test"
    },
    "api_contract": {
      "framework": "newman",
      "collections": [],
      "auth_strategy": "none"
    },
    "e2e": {
      "framework": "playwright",
      "config": "playwright.config.ts"
    },
    "smoke": {
      "health_endpoint": "/api/health",
      "critical_paths": ["/", "/login"]
    },
    "coverage": {
      "tool": "v8",
      "threshold": 80
    },
    "ci_workflows": [".github/workflows/test.yml"],
    "ai_detected": false,
    "llm_evals_plugin": "llm-evals"
  }
}

6. CI Workflow Detection

Scans .github/workflows/*.yml and .gitlab-ci.yml to identify:

• Which test types are already running in CI
• Test commands used in CI vs local
• Coverage reporting in CI
• Test result artifact storage

7. AI Framework Detection

Flags ai_detected: true when any of these are found:

• @ai-sdk/ packages in dependencies
• langchain in dependencies
• openai SDK in dependencies
• @anthropic-ai/sdk in dependencies
• transformers in Python dependencies

When AI is detected, notes that LLM eval testing should use the llm-evals plugin.

Available Scripts

1. detect-test-frameworks.sh - Main orchestrator that runs all detectors
2. detect-node-testing.sh - Detect Jest, Vitest, Mocha, AVA, Playwright for Node.js
3. detect-python-testing.sh - Detect pytest, unittest, nose2 for Python
4. detect-go-testing.sh - Detect go test, testify for Go
5. detect-rust-testing.sh - Detect cargo test, criterion for Rust
6. detect-ci-workflows.sh - Detect GitHub Actions and GitLab CI test workflows

Available Templates

1. project-json-testing-schema.json - JSON schema for the expanded testing key
2. detection-report.md - Template for detection result reporting

Available Examples

1. node-project-detection.md - Example detection for a Node.js/TypeScript project
2. python-project-detection.md - Example detection for a Python project
3. multi-stack-detection.md - Example detection for a multi-language project

Requirements

• bash shell for running detection scripts
• jq for JSON processing
• Access to project root directory

Progressive Disclosure

• Read examples/node-project-detection.md for Node.js detection walkthrough
• Read examples/python-project-detection.md for Python detection walkthrough
• Read templates/project-json-testing-schema.json for the complete schema definition