cs-tests

Estrellas15

Forks1

Actualizado29 de marzo de 2026 a las 02:13

Generate unit tests from code paths. Uses symbolic execution to explore branches, identify edge cases, and auto-generate pytest/unittest test cases.

Instalación

Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.

Fuente

3D-Tech-Solutions

3D-Tech-Solutions/code-scalpel

Abrir repositorio de GitHub Ver repositorios del creador

Descarga

Ocupaciones relacionadasSOC

Basado en la clasificación ocupacional SOC

Analistas de garantía de calidad de software y probadoresOcupaciones informáticas y matemáticas·SOC 15-1253

SKILL.md

readonly

name	cs-tests
description	Generate unit tests from code paths. Uses symbolic execution to explore branches, identify edge cases, and auto-generate pytest/unittest test cases.
allowed-tools	["mcp__codescalpel__extract_code","mcp__codescalpel__symbolic_execute","mcp__codescalpel__generate_unit_tests"]
preamble-tier	1

/cs-tests — Generate Tests from Code Paths

Auto-generate unit tests by analyzing execution paths through a function. Finds edge cases, branches, and error conditions automatically.

Usage

/cs-tests src/utils.py function calculate_tax
/cs-tests src/validation.py function validate_email
/cs-tests src/api.py function handle_request

How It Works

Extract — Get the function you want to test
Symbolic Execute — Run the code symbolically to explore all branches
- Finds path conditions (if/else, loops, exceptions)
- Identifies edge cases and dead code
Generate Tests — Create pytest test cases for each path
- Happy path (normal inputs)
- Error cases (invalid inputs)
- Edge cases (boundary values)
- Dead code detection

What You Get

A test file with:

✅ One test per execution path
✅ Different input types (valid, invalid, boundary)
✅ Exception handling tests
✅ pytest or unittest format (you choose)

Test Generation Framework

Supports:

pytest (recommended, modern)
unittest (legacy, standard library)

Example Output

def test_calculate_tax_normal():
    assert calculate_tax(100) == 10.0

def test_calculate_tax_zero():
    assert calculate_tax(0) == 0.0

def test_calculate_tax_negative_raises():
    with pytest.raises(ValueError):
        calculate_tax(-100)

Next Steps

Review the generated tests
Run them: pytest test_*.py
Adjust assertions if needed
Commit to your test suite

Pro Tip

Generate tests BEFORE refactoring to create a safety baseline:

/cs-tests src/legacy_code.py function complex_function
# Now safe to refactor—tests will catch breakage
/cs-refactor src/legacy_code.py function complex_function

See CLAUDE.md for the full test generation workflow.

Más de este repositorio

mismo repositorio

cs-analyze

3D-Tech-Solutions/code-scalpel

Analyze code structure: parse functions, classes, imports, and complexity metrics. Use to understand a file or project without reading the source code directly.

2026-03-2915

cs-extract

3D-Tech-Solutions/code-scalpel

Extract a specific function, class, or method from a file using Code Scalpel. Use when you need to show a symbol without reading the entire file—saves 95% of context.

2026-03-2915

cs-map

3D-Tech-Solutions/code-scalpel

Map project architecture: discover modules, build call graphs, visualize structure, trace critical paths. Complete architecture overview with dependency flows.

2026-03-2915

cs-policy

3D-Tech-Solutions/code-scalpel

Verify code compliance with policies and standards: HIPAA, SOC2, PCI-DSS, custom style guides. Validate policy file integrity with cryptographic verification.

2026-03-2915

cs-refactor

3D-Tech-Solutions/code-scalpel

Safe refactoring workflow: find all usages, trace dependencies, simulate changes, generate baseline tests, then apply with backup. Behavior-preserving refactor.

2026-03-2915

cs-security

3D-Tech-Solutions/code-scalpel

Full security audit: detect local vulnerabilities, cross-file taint flows, CVEs in dependencies, and polyglot sink patterns. Complete security scan pipeline.

2026-03-2915

name	cs-tests
description	Generate unit tests from code paths. Uses symbolic execution to explore branches, identify edge cases, and auto-generate pytest/unittest test cases.
allowed-tools	["mcp__codescalpel__extract_code","mcp__codescalpel__symbolic_execute","mcp__codescalpel__generate_unit_tests"]
preamble-tier	1

/cs-tests — Generate Tests from Code Paths

Auto-generate unit tests by analyzing execution paths through a function. Finds edge cases, branches, and error conditions automatically.

Usage

/cs-tests src/utils.py function calculate_tax
/cs-tests src/validation.py function validate_email
/cs-tests src/api.py function handle_request

How It Works

Extract — Get the function you want to test
Symbolic Execute — Run the code symbolically to explore all branches
- Finds path conditions (if/else, loops, exceptions)
- Identifies edge cases and dead code
Generate Tests — Create pytest test cases for each path
- Happy path (normal inputs)
- Error cases (invalid inputs)
- Edge cases (boundary values)
- Dead code detection

What You Get

A test file with:

✅ One test per execution path
✅ Different input types (valid, invalid, boundary)
✅ Exception handling tests
✅ pytest or unittest format (you choose)

Test Generation Framework

Supports:

pytest (recommended, modern)
unittest (legacy, standard library)

Example Output

def test_calculate_tax_normal():
    assert calculate_tax(100) == 10.0

def test_calculate_tax_zero():
    assert calculate_tax(0) == 0.0

def test_calculate_tax_negative_raises():
    with pytest.raises(ValueError):
        calculate_tax(-100)

Next Steps

Review the generated tests
Run them: pytest test_*.py
Adjust assertions if needed
Commit to your test suite

Pro Tip

Generate tests BEFORE refactoring to create a safety baseline:

/cs-tests src/legacy_code.py function complex_function
# Now safe to refactor—tests will catch breakage
/cs-refactor src/legacy_code.py function complex_function

See CLAUDE.md for the full test generation workflow.