parallax-AI-consensus

Name: parallax-AI-consensus
Availability: InStock
Author: bencharoenwong

Aggregate Parallax AI Investor Profiles into a cross-profile consensus verdict.

3|3|Updated Mar 27, 2026

Search Tags:#consensus #parallax #portfolio-analysis #verdict-matrix #investment-profiles #ai-investor #factor-level

Ready to run

npx skills add https://github.com/bencharoenwong/parallax-workflows --skill parallax-ai-consensus

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: parallax-AI-consensus
Source: https://github.com/bencharoenwong/parallax-workflows/tree/main/skills/AI-consensus
Command: npx skills add https://github.com/bencharoenwong/parallax-workflows --skill parallax-ai-consensus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Aggregates and evaluates Parallax AI Investor Profiles to generate a cross-profile consensus verdict for a ticker or small basket, reducing single-profile bias and surfacing robust signals.

Core Features & Use Cases

Runs all installed Parallax AI Investor Profiles in parallel against a ticker (or short basket) and returns a per-profile verdict matrix.
Computes the super-majority consensus signal per the project’s consensus-config and surfaces factor-level agreement detail across profiles.
Provides a clear, third-person, non-personalized interpretation of when multiple profiles converge, including fallbacks for incomplete executions.

Quick Start

Call /parallax-AI-consensus with a ticker or basket to generate the consensus report.

Frequently Asked Questions about parallax-AI-consensus

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

FAQPage Schema

How do I get a cross-profile consensus verdict for a stock ticker?▼

To generate a cross-profile consensus verdict, run installed AI investor profiles in parallel against a stock ticker. The system outputs a super-majority signal and a per-profile verdict matrix to reduce single-profile bias.

What is a super-majority consensus signal in investment profile analysis?▼

A super-majority consensus signal is a computed agreement threshold across multiple AI investor profiles. It surfaces robust trading signals by evaluating factor-level agreement details and outputting a structured consensus report for the analyzed ticker.

Can I analyze a basket of tickers with AI investor profiles?▼

Yes, you can analyze a small basket of up to five tickers simultaneously. The system runs all installed profiles in parallel against the basket and returns per-profile verdicts along with a structured consensus report.

How does factor-level agreement work across multiple investment profiles?▼

Factor-level agreement evaluates how individual analytical factors align across different AI investor profiles. The system computes this agreement detail to highlight when multiple profiles converge, providing a clear interpretation of the consensus.

What happens when an AI investor profile execution is incomplete during consensus aggregation?▼

When an AI investor profile execution is incomplete, the system applies profile fallbacks. It handles these incomplete executions gracefully and outputs clear notes on applicability and exclusions within the final consensus report.