Test Target Selector with Codex
Select the smallest honest verification set for a change, including targeted tests, manual checks, missing-test recommendations, a broader fallback, and named remaining risk.
Free
Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
GitHub Copilot
Gemini CLI+17 moreClaude CodeCursorCodex CLIGitHub CopilotGemini CLI
VS Code
Windsurf
Manus+14 moreSee it in action
You say
This change touched password reset token handling and email link generation. Pick the smallest useful tests and what remains unverified.
Your agent does
[Test Target Plan with change summary, change type, affected behavior, targeted checks, tests to add or update, manual smoke checks, broader fallback, unverified risks, confidence, and next instruction.]
About this skill
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).
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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