Test Target Selector with Codex

What it does

The Test Target Selector provides a precise, honest verification strategy for code changes. Instead of running every test or guessing which ones matter, it analyzes your diff, classifies the change type (bug fix, refactor, API change, etc.), and selects the narrowest, most relevant tests to run first.

Why use this skill

AI agents often suffer from "false confidence," assuming a small fix is safe because a single unrelated test passed. This skill forces a rigorous evaluation of risk. It identifies what behaviors are actually affected, suggests specific manual smoke checks for things like UI or Auth, and—crucially—explicitly lists what remains unverified after the plan is executed. It transitions your agent from "guessing" to "verifying" with developer-grade precision.

Supported tools

This skill is optimized for Codex-driven development and is compatible with any local repository. It works by inspecting your file structure, CI configurations, and test suites (via Terminal and File Read access) to generate executable command patterns tailored to your specific environment.

Output

The output is a structured Test Target Plan. It includes a prioritized table of targeted test commands, recommendations for new tests that should be added, manual verification steps for high-risk flows, and a final confidence rating (Low/Medium/High).