Trace signals, skills, and reasoning behind AI system recommendations.
npx skills add https://github.com/jsagir/mindrian-os-plugin --skill explain-decision
Please help me install this Agent Skill. Skill: explain-decision Source: https://github.com/jsagir/mindrian-os-plugin/tree/main/skills/explain-decision Command: npx skills add https://github.com/jsagir/mindrian-os-plugin --skill explain-decision
This Skill provides a detailed trace of the decision-making process behind Larry's recommendations, helping users understand the rationale behind each suggestion.
Use the /mos:explain-decision command to view the decision trace for the last turn.
High-intent search queries and answers about installing and using this skill.
To trace AI reasoning, use the /mos:explain-decision command to view a detailed trace of the signals, skills, and logic behind the AI system's last recommendation. This provides immediate insights into the underlying decision-making process.
An AI decision trace is a detailed breakdown of the signals and reasoning behind an AI system's output. You need it when troubleshooting AI decision-making or trying to understand the underlying logic of unexpected recommendations during analysis.
Yes, you can review the AI analysis logic from specific past sessions. The Skill provides session analysis capabilities, allowing you to conduct an in-depth review of the signals and reasoning behind historical AI decisions.
You troubleshoot unexpected AI insights by invoking the explain-decision command with no dependencies required. It analyzes the AI's decision-making process, returning a detailed trace of the skills and signals that generated the recommendation.
Yes, the tool is applicable for understanding the underlying logic of various AI systems. It analyzes the decision-making process by extracting the specific signals and skills referenced to generate each recommendation.
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