decision-support

Document advisory decision-support payloads and operator interpretation without altering runtime behavior.

Updated Apr 22, 2026
One-click install
npx skills add https://github.com/EnesMeyzin98/Meridian --skill decision-support-enesmeyzin98
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: decision-support
Source: https://github.com/EnesMeyzin98/Meridian/tree/main/agents/skills/decision-support
Command: npx skills add https://github.com/EnesMeyzin98/Meridian --skill decision-support-enesmeyzin98

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Keeps the advisory decision-support layer coherent, auditable, and isolated from runtime execution to prevent unintended changes to behavior.

Core Features & Use Cases

  • Advisory-only design ensures decisions are explainable and auditable.
  • Payload and journal standardization to keep learning-readiness and audit trails separate from runtime decisions.
  • Operator-facing clarity in decision interpretation and dashboards.

Quick Start

Review AGENTS.md and FINAL_SYSTEM_VISION.md to ensure advisory boundaries and safety contracts are preserved.

Frequently Asked Questions about decision-support

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

FAQPage Schema
How do I keep advisory AI decision-support payloads traceable without altering runtime behavior?

Advisory decision-support payloads stay traceable by standardizing the journaling layer to separate audit trails from runtime execution, ensuring decisions remain explainable and isolated without altering live behavior.

What is an advisory decision-support layer in AI validation?

An advisory decision-support layer coordinates operator-facing decision interpretation while maintaining safe deference to execution policies, providing clear labeling and extractable analytics without modifying the actual runtime execution path.

How do I standardize journaled decision-support payloads for audit trails?

Journaled decision-support payloads are standardized by applying consistent documentation across editing app modules and operator dashboards, preserving learning-readiness and keeping audit trails separate from runtime decisions.

Does advisory decision-support work with existing execution policies?

Advisory decision-support works with existing execution policies by maintaining safe deference to them, ensuring the advisory layer only coordinates and documents decisions without overriding or altering runtime behavior.

Why should decision-support payloads be isolated from runtime execution?

Decision-support payloads must be isolated from runtime execution to prevent unintended changes to behavior, keeping the advisory layer coherent and auditable while ensuring runtime decisions remain unaffected by journaled analytics.

What are the limitations of advisory decision-support layers?

Advisory decision-support layers do not alter runtime behavior or execute decisions directly; they are limited to documenting, coordinating, and interpreting decisions to preserve execution safety and traceability.