extract-python-environment-variables

extract-python-environment-variables is an Other agent platforms skill for AI agents, published by google in the adk-samples repository on GitHub. Skillspace rates extract-python-environment-variables D (61/100) and it passed the safety scan; the rating is based on static analysis only.

Scans a Python recipe to find every place an environment variable is read, then ensures all variables are declared in .env.example, that load_dotenv() is bootstrapped in the package __init__.py, and that python-dotenv>=1.0.0 is listed in pyproject.toml. Also detects hardcoded model-name string literals in the recipe's source (e.g. "gemini-3-flash-preview" in agent.py) and rewrites them to bare os.getenv("MODEL_NAME") calls (NO fallback default), adding MODEL_NAME to .env.example with a TODO placeholder — this modifies source files, not just configuration. IMPORTANT — two hard rules the skill NEVER breaks: (1) `.env.example` gets ONLY TODO placeholders, never inferred defaults. (2) Python source files get NO default values written by the skill — the model-replacement path emits `os.getenv("VAR")` with no second argument, and the skill never emits `os.environ.setdefault(...)` bootstrap lines. Pre-existing `os.environ.setdefault(...)` or `os.getenv("VAR", "default")` calls that the recipe…

Grade

D

Quality

61 / 100

Safety

Passed

GitHub stars

9,918

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