Does this work with any programming language?

Yes, it is language-agnostic and applies to any environment where you can run verification commands like npm test, pytest, go test, or make.

Why is this skill necessary for AI coding?

AI assistants can occasionally assume a code change works without executing it; this skill forces the AI to provide fresh evidence from command output before claiming success.

Can it prevent broken builds?

Yes, by making a successful build command (exit code 0) a mandatory prerequisite for any completion claim.

What 'red flags' does this skill monitor?

It identifies and stops the use of non-committal language like 'should work,' 'seems to,' or 'looks correct,' requiring hard evidence instead.

How does it handle Red-Green testing?

It requires the AI to prove a test fails by reverting a fix, then prove it passes by restoring the fix, ensuring the test is actually measuring the intended behavior.

Verification Before Completion

Name: Verification Before Completion
Author: timequity

bytimequity

0•

Security & Testing

Enforces a rigorous evidence-based workflow that requires successful command execution before any task is marked as finished.

This skill acts as a cognitive gatekeeper for Claude, preventing premature completion claims by mandating the 'Iron Law' of verification: no task is considered done until fresh, successful command output is produced and analyzed. It eliminates 'should-work' statements and assumptions, ensuring that bug fixes, test suites, and builds are validated through actual execution. By requiring the AI to identify, run, and read verification commands before making any success claims, it significantly improves the reliability of AI-generated code and the overall integrity of the development cycle.

Key Features

01Mandatory execution of verification commands before any status update

02Detection and prevention of 'red flag' language like 'should' or 'probably'

03Step-by-step checklist verification for complex project requirements

04Enforced TDD Red-Green cycle for verified regression testing

05Systematic validation of exit codes and failure counts for tests and linters

060 GitHub stars

Use Cases

01Preventing false positives when resolving complex software bugs

02Ensuring local builds pass before committing or creating pull requests

03Standardizing quality control during automated refactoring sessions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add timequity/plugins verification-before-completion

For use in Claude.ai and ChatGPT

Download Skill