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SINGULARITY-MBP-COMBAT-AUTHORITY

Compute and visualize ranked legal authority hierarchies from citation graphs.

Updated Aug 27, 2026
Search Tags:#visualization#data-analysis#citation#authority#pagerank#court-hierarchy
One-click install
npx skills add https://github.com/fatcrapinmybutt/cortex-osint --skill singularity-mbp-combat-authority
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: SINGULARITY-MBP-COMBAT-AUTHORITY
Source: https://github.com/fatcrapinmybutt/cortex-osint/tree/main/.agents/skills/SINGULARITY-MBP-COMBAT-AUTHORITY
Command: npx skills add https://github.com/fatcrapinmybutt/cortex-osint --skill singularity-mbp-combat-authority

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzing and visualizing complex legal citation networks is time-consuming and error-prone; this Skill turns raw authority data into an interactive, ranked hierarchy that reveals PageRank scores, chain completeness, and Shepardization status.

Core Features & Use Cases

  • Authority graph construction from large citation datasets.
  • PageRank-based ranking and court-level placement for intuitive navigation.
  • Drill-down and gap detection to identify missing authorities and potential research tasks.
  • Interactive visualization that helps lawyers, analysts, and researchers reason about authority strength and applicability.
  • Use Case: A researcher maps Michigan court precedents and quickly identifies the most influential authorities across SCOTUS, circuit courts, and state courts, along with any negative treatment signals.

Quick Start

Load the Authority Hierarchy layer in MBP Genesis and open the interactive visualization to explore the 13-layer graph.

Frequently Asked Questions about SINGULARITY-MBP-COMBAT-AUTHORITY

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

FAQPage Schema
How do I visualize a legal citation network and rank authority strength?▼

Legal citation network visualization is achieved by computing PageRank scores, chain completeness, and Shepardization status from raw datasets to generate an interactive, ranked hierarchy of legal authorities.

What is the best way to identify missing authorities in a court citation graph?▼

Finding missing authorities in a court citation graph is handled by the drill-down and gap detection feature, which analyzes large datasets to reveal incomplete authority chains and potential research tasks.

Can I map state and federal court hierarchies using PageRank for legal precedents?▼

Mapping court hierarchies using PageRank for legal precedents is supported by applying PageRank-based ranking and court-level classifications across SCOTUS, circuit courts, and state courts for intuitive navigation.

Does this legal authority visualization tool track negative treatment signals?▼

Tracking negative treatment signals in legal authority visualization is supported by monitoring Shepardization status alongside PageRank scores to reveal the current validity and strength of mapped authorities.

How do I start exploring a large citation graph for legal research?▼

Starting to explore a large citation graph for legal research involves ingesting authority data to produce a 13-layer interactive visualization where you can drill down to reason about authority strength and applicability.

What data formats do I need to compute PageRank for legal authorities?▼

Computing PageRank for legal authorities requires data from authority_chains_v2 and master_citations to produce ranked authorities with court-level classifications and visual encodings.

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