Does this skill help with security audits?

Yes, it is specifically designed to check against standards, verify session handling, test edge cases, and identify risks that standard quality checks might overlook.

What is the 150% quality standard?

It is a commitment to excellence that combines 100% core task delivery with an additional 50% effort focused on strengthening the output through verification, alternative analysis, and risk awareness.

How does this differ from standard AI code generation?

Standard generation often relies on fragments or assumptions; this skill forces the AI to read full files, verify every assumption with code evidence, and provide multiple implementation options.

What is a confidence score in this context?

At the end of a task, the skill provides a numerical percentage representing the AI's certainty based on what was verified versus what remains assumed or limited.

When should I use the Execute-Quality 150 skill?

Invoke this skill for critical tasks like production deployments, security-sensitive changes, complex multi-system problems, or major architectural decisions where you cannot afford errors.

Execute-Quality 150 Protocol

Name: Execute-Quality 150 Protocol
Author: MykhailoDmytriakha

byMykhailoDmytriakha

0•

生产力与工作流

Executes critical development tasks with a 150% quality standard by combining core delivery with rigorous verification and risk assessment.

The Execute-Quality 150 Protocol is an advanced execution framework for Claude Code designed for high-stakes scenarios where standard AI output is insufficient. It mandates a comprehensive workflow that includes reading full file contexts instead of snippets, validating all technical assumptions with evidence, considering at least three alternative approaches, and performing continuous risk mitigation. Ideal for production deployments, security audits, and complex architectural decisions, this skill ensures that AI-generated solutions are not only functional but thoroughly vetted, documented, and delivered with explicit numerical confidence levels.

主要功能

010 GitHub stars

02Multi-perspective analysis requiring at least three alternative solutions

03Integrated risk assessment and failure mode mitigation

04Full context reading of entire files, imports, and dependencies

05Detailed delivery reports with explicit numerical confidence scores

06Evidence-based verification of all underlying technical assumptions

使用场景

01Reviewing security-critical authentication or encryption logic

02Architecting complex multi-system integrations with high dependencies

03Debugging production-level issues where the cost of error is high

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add mykhailodmytriakha/my-preacher-helper 51-execute-quality-150

For use in Claude.ai and ChatGPT

Download Skill