security-review-says-user-corrections

Extract recurring user corrections into concrete rules for consistent application.

171|10|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/fmflurry/settings-opencode --skill security-review-says-user-corrections
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: security-review-says-user-corrections
Source: https://github.com/fmflurry/settings-opencode/tree/main/.claude/skills/security-review-says-user-corrections
Command: npx skills add https://github.com/fmflurry/settings-opencode --skill security-review-says-user-corrections

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This pattern identifies recurring user corrections and codifies them as reusable rules that guide future responses and decisions.

Core Features & Use Cases

  • Rule extraction from user feedback.
  • Application of updated rules across current work and related decisions.
  • Validation and traceability of corrections to maintain consistency.

Quick Start

Extract the correction as a concrete rule and apply it to current work to update guidance.

Frequently Asked Questions about security-review-says-user-corrections

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

FAQPage Schema
How do I codify user corrections into reusable rules for content quality assurance?

To codify user corrections into reusable rules, you identify recurring feedback patterns and extract them as concrete rules. Applying these rules across ongoing reviews updates your guidance and ensures consistent decisions while preserving a traceable correction history.

What is the best way to ensure user corrections are consistently applied across ongoing content reviews?

The best way to ensure user corrections are consistently applied is to extract recurring feedback as concrete rules. Validating and applying these rules across ongoing reviews and related decisions maintains consistency and updates expectations with traceable correction history.

How do I extract rules from user feedback to improve my workflows?

You extract rules from user feedback by identifying recurring corrections and codifying them as concrete guidance. This rule extraction process updates your current work and workflows, ensuring future responses align with validated user expectations.

Can I use a single pattern to update guidance and maintain traceability for content corrections?

Yes, you can use a consistency pattern to update guidance and maintain traceability. By codifying user corrections as concrete rules, the pattern satisfies requirements for rule extraction, application, and validation while preserving a traceable correction history.

When do I need rule extraction for user corrections in my review process?

You need rule extraction for user corrections when recurring feedback impacts your review consistency. Codifying these corrections as concrete rules applies them across ongoing reviews and related decisions, ensuring consistent application and updated expectations.

Does this rule extraction pattern work without external dependencies for quality assurance?

Yes, this rule extraction pattern works without external dependencies. It independently identifies recurring user corrections and codifies them as concrete rules, applying them across ongoing reviews to ensure consistent application and validation with traceable history.