test-fixture-generator

Automatically generate pytest fixtures for databases, API mocks, and file handling with setup and teardown support.

This package appears to implement what it claims (a pytest fixture generator) but there are a few red flags to check before installing or running it: - Dependency mismatch: README claims 'zero dependencies' but generated templates import many third‑party libraries (mysql.connector, psycopg2, requests_mock, httpx, boto3/moto, etc.). Expect to install those libraries if you use the generated fixtures. - Packaging/CLI mismatch: SKILL.md instructs running `python -m test_fixture_generator ...`, but there is no __main__.py and cli.py uses absolute imports. Try running the CLI via `python cli.py` from the package root or add a proper entry point/__main__.py; verify the package installs a console_script entrypoint if you expect `test_fixture_generator` to be runnable. - Hardcoded example creds: DB templates include example credentials (localhost/test_user/test_password). Treat these as examples only; do not use them in production and do not assume they reflect your real environment. - Inspect boto3/AWS templates: part of generator.py was truncated in the review; open and read the boto3/moto template to confirm it only sets up mocks and does not attempt credential discovery or make external AWS calls. - Run in isolation: run the code and tests in a sandboxed or virtualenv environment so missing/incorrect imports or unexpected behavior won't affect your system. If you plan to use this skill, ask the author to: correct the README dependency claims, add a proper __main__.py or console entrypoint and package-relative imports, and remove or clearly label any hardcoded credentials. If those fixes are not possible, treat the package as a local development helper rather than a drop-in CLI tool.

Type: OpenClaw Skill Name: test-fixture-generator Version: 1.0.0 The test-fixture-generator skill is a legitimate utility designed to generate boilerplate pytest fixture code for databases, API mocks, and file handling. The implementation in generator.py and cli.py uses standard Python libraries (argparse, pathlib) to produce well-structured test code based on hardcoded templates. No evidence of data exfiltration, malicious execution, or prompt injection was found; the tool's behavior aligns perfectly with its stated purpose of assisting developers in setting up test environments.