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research-council

Run structured multi-persona philosophical deliberation and return veto tables with work items.

Updated May 24, 2026
Search Tags:#decision-making#deliberation#multi-persona#bias-detection#philosophical-reasoning#ethical-audit#work-item-generation
One-click install
npx skills add https://github.com/angrysky56/hermes-ops --skill research-council-angrysky56
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-council
Source: https://github.com/angrysky56/hermes-ops/tree/main/skills/research-council
Command: npx skills add https://github.com/angrysky56/hermes-ops --skill research-council-angrysky56

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Complex decisions often suffer from single-perspective blind spots, unexamined assumptions, and unaccounted stakeholder harm, leading to costly mistakes or unethical outcomes. This Skill eliminates that risk by facilitating structured, multi-persona philosophical deliberation that surfaces hidden flaws before work begins.

Core Features & Use Cases

  • 7 Distinct Personas: Covers rational evidence weighting, assumption challenging, harm assessment, historical context, unspoken constraint identification, first-principles reasoning, and practical feasibility checks.
  • Structured Synthesis Output: Returns veto tables, formal constraints, and actionable work items ready for dispatch to your task tracking system.
  • Use Case Example: Evaluate the ethical risks of an autonomous hiring system to identify regional bias, reversibility gaps, and required audits before deployment.

Quick Start

Request a research council session to deliberate on the ethical implications of your proposed autonomous hiring system to receive a multi-persona synthesis with veto conditions and concrete work items.

Frequently Asked Questions about research-council

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

FAQPage Schema
How do I run a multi-persona deliberation to check for bias in complex decisions?▼

Multi-persona deliberation eliminates single-perspective blind spots by running 2 cycles of cross-persona dialogic reasoning. This process surfaces hidden assumptions, unaccounted stakeholder harm, and historical context before returning a formal synthesis with veto tables.

What is the best way to audit ethical risks in an autonomous hiring system?▼

The best way to audit ethical risks is through structured philosophical reasoning that evaluates regional bias, reversibility gaps, and practical feasibility. This approach generates named constraints and actionable work items for required audits before system deployment.

Can I use multi-persona reasoning for product roadmap tradeoff analysis?▼

Yes, multi-persona reasoning handles product roadmap tradeoff analysis by applying 7 distinct personas to assess practical implementation feasibility and identify unspoken constraints. It outputs a structured synthesis that prevents costly mistakes in high-stakes scenarios.

How does philosophical reasoning surface hidden assumptions in policy design?▼

Philosophical reasoning surfaces hidden assumptions by applying rational evidence weighting and first-principles reasoning across multiple personas. This structured deliberation identifies unspoken constraints and historical context, returning formal constraints to guide policy design.

What does a structured synthesis output from complex decision making include?▼

A structured synthesis output from complex decision making includes veto tables, named constraints, and actionable work items. These components are generated from cross-persona dialogic reasoning and are ready for dispatch to your task tracking system.

Do I need any specific dependencies to perform ethical AI system audits with this method?▼

No specific dependencies are required to perform ethical AI system audits with this multi-persona deliberation method. The reasoning process independently evaluates stakeholder harm and implementation feasibility to produce actionable audit work items.

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