make-python-recipe-deployable

make-python-recipe-deployable is a Publishing & deployment skill for AI agents, published by google in the adk-samples repository on GitHub. Skillspace rates make-python-recipe-deployable F (49/100) and it passed the safety scan; the rating is based on static analysis only.

Makes an existing Python recipe deployable: generates the serving files a container needs (Dockerfile, .dockerignore, fast_api_app.py, app_utils/a2a.py, app_utils/services.py, app_utils/reasoning_engine_adapter.py) and configures the recipe to match (required serving dependencies, the App object in agent.py, the hatch wheel package, manifest.deployable). Interactive by design — it asks the recipe owner about runtime data directories and stops for a human decision when a recipe needs an ADK migration or carries a legacy app_utils generation. When docker is available it offers to PROVE the claim: it builds the generated Dockerfile, runs it, probes it, and refuses to flag a recipe deployable if the container does not come up. Does NOT deploy or write terraform. Use when the user wants to "make this recipe deployable", "add a Dockerfile to a recipe", "add the serving files", "containerize a recipe", "verify the container builds", or prepare a recipe for Cloud Build / Artifact Registry.

Grade

F

Quality

49 / 100

Safety

Passed

GitHub stars

10,308

Unproven: rated by static analysis only, not yet compared head-to-head.

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