What is the 'Trust but Verify' principle in this context?

It means the AI will not take a user's statement as fact immediately. It will first check the codebase, run tests, or consult documentation to confirm the statement is true before proceeding with a fix or implementation.

Why would I want the AI to disagree with me?

Blind agreement can lead to implementing incorrect solutions or overlooking hidden bugs. Honest feedback ensures your software is technically sound and follows best practices rather than just following a flawed suggestion.

Does this skill make the AI rude or unhelpful?

Not at all. The skill focuses on professional objectivity and direct communication. It uses evidence and technical reasoning to explain why an approach might fail, which is ultimately more helpful than polite but incorrect validation.

How does this help with debugging?

In debugging, it's common to assume the wrong component is at fault. This skill forces the AI to look at stack traces and logs objectively, often correcting the developer's initial diagnosis and saving time on 'false-positive' fixes.

Professional Honesty

Name: Professional Honesty
Author: TheBushidoCollective

byTheBushidoCollective

•

開発者ツール

Prioritizes technical accuracy and objective evidence over agreeableness to ensure high-integrity software development.

The Professional Honesty skill acts as a rigorous technical filter for Claude, ensuring it prioritizes factual truth and verification over blind validation of user assumptions. By adhering to a 'trust but verify' philosophy, this skill prevents the AI from becoming a 'yes-man,' helping developers identify real root causes of bugs and avoid suboptimal architectural patterns. It is an essential tool for high-stakes engineering environments where directness and technical accuracy are more valuable than social validation, leading to more robust and reliable codebases.

主な機能

01Constructively challenges technical assumptions and hypotheses

02Mandates verification of code, logs, and documentation before confirmation

03Prioritizes evidence-based reasoning over user validation

04Identifies potential critical failures like data corruption or race conditions

05Replaces excessive agreeableness with direct, actionable feedback

0639 GitHub stars

ユースケース

01Validation of technical claims against project documentation

02Root cause analysis during complex debugging sessions

03Critical review of proposed software architectures and patterns

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add thebushidocollective/han professional-honesty

For use in Claude.ai and ChatGPT

Download Skill