fusion-engine

Name: fusion-engine
Availability: InStock
Author: ybbms

Compute weighted scores and output a recommended decision with reasoning logs.

4|Updated Apr 3, 2026

Search Tags:#logging #runtime #ai-automation #tool-dispatch #decision-engine #fusion #systems-health

Ready to run

npx skills add https://github.com/ybbms777/openclaw-claude-code-integration --skill fusion-engine

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fusion-engine
Source: https://github.com/ybbms777/openclaw-claude-code-integration/tree/main/skills/fusion-engine
Command: npx skills add https://github.com/ybbms777/openclaw-claude-code-integration --skill fusion-engine

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires psutil, and includes scripts (resource) components.

What problem does it solve?

Fusion Engine combines memory relevance, command history, user signals, and system health to create a single, reliable decision context.

Core Features & Use Cases

Weighted multi-source scoring across memory, command history, user signals, and system status to guide tool invocation decisions.
Supports integration with OpenClaw workflows and Claude/Codex environments for tool invocation scenarios that require risk-aware decisions.
Use Case: When deciding whether to auto-run a bash command or require user confirmation, Fusion Engine outputs a final_score and a decision with explainable reasoning.

Quick Start

Run the fusion engine to evaluate the risk and obtain a final_score and recommended decision for a given tool and parameters.

Frequently Asked Questions about fusion-engine

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

FAQPage Schema

How do I evaluate risk before auto-running a bash command in AI automation?▼

A risk-aware decision engine computes weighted scores from memory relevance, command history, user signals, and system health to evaluate risk before auto-running a bash command. It outputs a final score, a recommended decision, and a structured reasoning log.

What is a fusion engine for tool invocation and how does it work?▼

A fusion engine for tool invocation combines memory relevance, command history, user signals, and system health into a single decision context. It ingests historical logs, computes weighted scores, and outputs a final score with a recommended decision and explainable reasoning.

Can I use a weighted scoring system to guide tool dispatch in Claude or Codex workflows?▼

Yes, you can use a weighted scoring system to guide tool dispatch in Claude or Codex workflows. It integrates directly into these environments to evaluate system health and user signals, providing risk-aware decisions for tool invocation scenarios.

How do I get an explainable reasoning log when making automated tool decisions?▼

To get an explainable reasoning log for automated tool decisions, implement a fusion engine that ingests historical logs and computes weighted scores. It outputs a structured reasoning log alongside a final score and recommended decision for transparency.

Do I need psutil to monitor systems health for runtime decision engines?▼

Yes, you need psutil to monitor systems health for runtime decision engines. The fusion engine depends on psutil to gather system status metrics, which are combined with user signals and command history to compute risk-aware tool invocation scores.

What is the best way to combine memory relevance and command history for AI automation?▼

The best way to combine memory relevance and command history for AI automation is using a fusion engine that applies weighted multi-source scoring. It ingests these signals alongside system health and user inputs to output a reliable decision context and a final score.