signal-scorer

Score intelligence signals across six dimensions to determine operational priority.

2|Updated Jul 22, 2026
One-click install
npx skills add https://github.com/0xUrsanomics/utopia-os --skill signal-scorer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: signal-scorer
Source: https://github.com/0xUrsanomics/utopia-os/tree/main/skills/signal-scorer
Command: npx skills add https://github.com/0xUrsanomics/utopia-os --skill signal-scorer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill removes ambiguity from incoming information by forcing a standardized, objective assessment of news, rumors, and market signals, preventing reactive decision-making.

Core Features & Use Cases

  • Standardized Scoring: Evaluates signals across six critical dimensions including credibility, novelty, and actionability.
  • Verdict Generation: Automatically categorizes information into actionable tiers ranging from Noise to High Signal.
  • Use Case: When a market rumor arrives, use this skill to instantly determine if it warrants immediate operator action or if it should be filed as low-priority noise.

Quick Start

Ask the signal-scorer to assess the credibility and urgency of the latest market news provided in the text.

Frequently Asked Questions about signal-scorer

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

FAQPage Schema
How do I score market intelligence signals for operational priority?

You can score market intelligence signals by evaluating them across six defined dimensions, which automatically categorizes the information into actionable tiers ranging from noise to high signal.

What is the best way to filter market research noise objectively?

Standardized signal scoring removes ambiguity from incoming information by applying a six-dimension assessment, preventing reactive decision-making and objectively filtering market research noise.

How does signal processing work for competitive intelligence workflows?

Signal processing for competitive intelligence works by assessing incoming news and rumors across critical dimensions like credibility, novelty, and actionability to determine if immediate operator action is required.

Can I use automated scoring for news monitoring without manual review?

Yes, automated verdict generation categorizes news monitoring inputs into actionable tiers instantly, allowing you to determine if market rumors warrant immediate action or should be filed as low-priority noise.

Do I need a domain-specific knowledge base to assess signal novelty?

Yes, assessing signal novelty and relevance requires access to memory context and domain-specific knowledge bases to validate the incoming intelligence and ensure accurate operational prioritization.