Add executable smoke tests for shell scripts and CLIs before refactors ship
Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.
Use Bats-core when an agent needs to turn fragile shell scripts or command-line workflows into something it can verify repeatedly after edits. The agent writes focused Bash tests for success paths, failure paths, and output contracts, then runs them locally or in CI before a refactor, release, or incident fix goes out.
npx skills add agentskillexchange/skills --skill add-shell-and-cli-smoke-tests-before-refactors-ship
This ASE entry is built around Bats-core, the Bash Automated Testing System for writing executable tests around shell scripts and command-line programs. The agent workflow is clear: capture the contract of a script or CLI as small Bash tests, run those tests after each change, and use the results to decide whether a refactor is safe to ship or whether a quick fix actually solved the problem without breaking adjacent behavior.
You invoke this skill when the ordinary product description, βit is a test framework,β is too broad to help. The real operator task is to add a thin but reliable safety net around shell automation that would otherwise be changed blind. An agent can inspect an existing deployment script, backup job, or internal CLI, identify the highest-risk commands and flags, write Bats-core tests around expected exit codes and stdout or stderr behavior, stub dependencies where needed, and then rerun those checks after edits. That gives the user a bounded workflow for validating automation changes instead of a generic framework listing.
The scope boundary matters. This entry is not trying to cover every Bash testing style, every shell language, or every CLI test strategy. It is specifically about executable smoke and regression tests for shell-driven automation using Bats-core. Integration points include CI pipelines, pre-release verification for ops scripts, migration of legacy shell glue into safer automation, and agent-driven repair loops where the model needs a repeatable βedit, test, verifyβ harness around scripts that touch real systems. Upstream evidence is strong: official GitHub repository, Read the Docs documentation, tagged releases, an MIT license file in the repo, high GitHub adoption, and recent maintenance activity.