superpowers-verification-before-completion

Run predefined verification commands and confirm output before claiming work completion.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/PAISHU-AI/PAI-zong-NB --skill superpowers-verification-before-completion-paishu-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: superpowers-verification-before-completion
Source: https://github.com/PAISHU-AI/PAI-zong-NB/tree/main/skills/superpowers-verification-before-completion
Command: npx skills add https://github.com/PAISHU-AI/PAI-zong-NB --skill superpowers-verification-before-completion-paishu-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Prevents dishonesty and misrepresentation by enforcing evidence-based claims before work is marked as complete.

Core Features & Use Cases

  • Verification Workflow: Standardizes the process of verifying work claims before committing or creating pull requests.
  • Evidence-Driven: Enforces evidence before claims, reducing the risk of shipping incomplete or incorrect work.
  • Use Case: Before marking a task as completed, run the verification commands to confirm all tests pass, linters are clean, and builds succeed.

Quick Start

Run the verification commands and confirm the output before making any success claims.

Frequently Asked Questions about superpowers-verification-before-completion

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enforce evidence-based work completion before committing code?

To enforce evidence-based work completion before committing code, you need a verification workflow that requires predefined verification commands to execute and output to be manually confirmed. This standardizes the process of backing completion claims with proof.

What is an automated verification check in software development?

An automated verification check in software development is a standardized process that enforces the execution of predefined commands, such as tests and linters, to gather evidence before a task is marked complete. It prevents misrepresentation by requiring manual confirmation of output.

How do I prevent incomplete tasks from being marked as complete?

To prevent incomplete tasks from being marked as complete, implement a verification workflow that enforces evidence-driven claims. By requiring predefined verification commands to run successfully before completion, you reduce the risk of shipping incorrect work.

Does evidence-based verification work with standard testing and linting workflows?

Evidence-based verification works with standard testing and linting workflows by requiring their execution as predefined verification commands. You must run these commands and confirm the output is clean before making any success claims or creating pull requests.

What is the best way to standardize quality assurance before a pull request?

The best way to standardize quality assurance before a pull request is to enforce a verification workflow that requires all tests to pass, linters to be clean, and builds to succeed. This ensures all completion claims are backed by confirmed evidence.

Why should I run verification commands before claiming work is done?

You should run verification commands before claiming work is done to prevent dishonesty and misrepresentation. Enforcing this evidence-based process guarantees that success claims are backed by actual proof, reducing the risk of shipping incomplete software.