scrutinize

Review plans, code, and workspace states to identify defects and propose fixes.

10|1|Updated Jun 29, 2026
One-click install
npx skills add https://github.com/mishahanin/heading-os --skill scrutinize-mishahanin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scrutinize
Source: https://github.com/mishahanin/heading-os/tree/main/.claude/skills/scrutinize
Command: npx skills add https://github.com/mishahanin/heading-os --skill scrutinize-mishahanin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, git, langfuse, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a rigorous, adversarial review gate for plans, code, and workspace states, preventing high-stakes errors and drift that standard agentic workflows often miss.

Core Features & Use Cases

  • VIIA Framework: Executes a Validate-Identify-Improve-Adjust pass to ensure structural integrity.
  • Adversarial Refutation: Uses cross-family judge rotation (Claude and Kimi k3) to filter false positives and debate high-severity findings.
  • Use Case: Before approving a complex architectural plan or deploying a major refactor, use this Skill to stress-test the logic and catch potential regressions before they reach production.

Quick Start

Invoke the scrutinize skill to perform a principal-engineer review on the current workspace to identify potential risks and structural improvements.

Frequently Asked Questions about scrutinize

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

FAQPage Schema
How do I perform an adversarial code review to catch regressions before deployment?

Adversarial code review uses cross-family judge rotation to debate findings and filter false positives, ensuring high-confidence defect identification. This process blocks forward progress until all high-severity issues are addressed and approved.

What is a principal-engineer review gate for architectural plans?

A principal-engineer review gate is a maximum-effort validation pass that stress-tests architectural plans to identify structural risks and drift. It executes a Validate-Identify-Improve-Adjust sequence to ensure structural integrity and propose evidence-backed fixes.

Do I need Python and Git to run workspace validation checks?

Yes, workspace validation requires Python3 and Git as dependencies, along with Langfuse for tracing. This environment setup provides the necessary execution and version control context to perform maximum-effort code and plan reviews.

How does adversarial refutation work for filtering false positives in quality assurance?

Adversarial refutation works by using cross-family judge rotation, specifically Claude and Kimi k3, to debate high-severity findings. This mechanism filters out false positives by requiring multiple models to refute or validate each identified defect.

Can I use this review gate to block CI pipelines until high-severity issues are fixed?

Yes, the review gate explicitly blocks forward progress until all high-severity issues are addressed and approved by the user. This prevents high-stakes errors from advancing through standard agentic workflows into production.

When should I use adversarial testing instead of standard code review?

Use adversarial testing before approving complex architectural plans or deploying major refactors, as standard agentic workflows often miss drift and high-stakes errors. This approach catches potential regressions by stress-testing logic through maximum-effort validation.