skills.rest
rube-de
rube-deCOMMUNITY
Explore all skills by this author →
GitHub

council-reference

Standardize council review data into a fixed JSON schema with scoring fields.

10|2|Updated Feb 7, 2026
Search Tags:#council#code-review#json-schema#false-positives#structured-review#expert-weights#scoring-thresholds
One-click install
npx skills add https://github.com/rube-de/cc-skills --skill council-reference
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: council-reference
Source: https://github.com/rube-de/cc-skills/tree/main/plugins/council/skills/council-reference
Command: npx skills add https://github.com/rube-de/cc-skills --skill council-reference

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Council Reference Data provides a single source of truth for council reviews by defining a structured response format, expert weights, and clear scoring guidelines to ensure consistency across agents.

Core Features & Use Cases

  • Structured Response Format: a mandatory JSON schema for all council findings that includes consultant, success, confidence, severity, and findings.
  • Expertise Weight Matrix and Thresholds: a predefined matrix that maps task areas to agent capabilities and scoring cutoffs to drive objective decision-making.
  • False Positive Taxonomy: a taxonomy to quickly reject non-actionable or pre-existing issues and reduce noise in reviews.

Quick Start

Provide a standardized council review using the defined JSON schema and weight matrix for a given code change.

Frequently Asked Questions about council-reference

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

FAQPage Schema
How do I standardize automated code review outputs into a structured JSON schema?▼

You can standardize automated code review outputs by enforcing a fixed JSON schema with explicit fields for consultant, success, confidence, severity, and findings to ensure consistent council review data.

What is the best way to reduce false positives in automated code review workflows?▼

To reduce false positives in automated code reviews, apply a predefined false positive taxonomy to quickly reject non-actionable or pre-existing issues, effectively reducing noise and governing agent behavior.

How do expert weights and scoring thresholds work in structured code reviews?▼

Expert weights and scoring thresholds map task areas to agent capabilities using a predefined matrix, driving objective decision-making and ensuring review quality through consistent scoring cutoffs.

Can I use a fixed weight matrix to govern agent behavior for code reviews?▼

Yes, you can govern agent behavior by enforcing a fixed weight matrix and scoring thresholds that standardize council review data and drive objective decisions across automated workflows.

When do I need a standardized JSON schema for council review findings?▼

You need a standardized JSON schema for council reviews when your automated code review workflows require consistent scoring, structured outputs, and a single source of truth to govern agent behavior.

Related Skills

Explore More Software Engineering Skills→
insightfloinsightflo
17

multi-ai-review

Orchestrate Claude Code, Gemini, and Codex to produce evidence-weighted consensus reviews.

Community
Advanced
LerianStudioLerianStudio
205

dev-feedback-loop

Automate development-cycle metrics collection and generate improvement reports.

Official
Advanced
robotijnrobotijn
3

complexity-analyzer

Measure cyclomatic, cognitive, NPath, Halstead, and structural complexity across programming languages.

Community
Advanced
qodex-aiqodex-ai
39

peer-review-initiator

Dispatch a subagent to structure peer code reviews with categorized feedback.

Official
Intermediate