panel

Fans prompts out to multiple AI models via OpenRouter and synthesizes their responses.

Updated Jul 9, 2026
One-click install
npx skills add https://github.com/ByronWilliamsCPA/plugin --skill panel-byronwilliamscpa
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: panel
Source: https://github.com/ByronWilliamsCPA/plugin/tree/main/plugins/wff-code/skills/panel
Command: npx skills add https://github.com/ByronWilliamsCPA/plugin --skill panel-byronwilliamscpa

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve? Getting a second opinion on a design, code review, or security question usually means trusting a single model's answer. This Skill consults multiple AI models in parallel through OpenRouter, assigns each a professional role or stance, and produces a synthesized verdict with consensus points, disagreements, and actual cost reporting. ## Core Features & Use Cases - Tiered Review Mode: Builds a structured IT review team at levels 1-3 (3, 6, or 8 models) with domain-specific professional roles for code review, security, architecture, or general questions, with per-level cost caps from $0.50 to $10.00. - Flexible Panel Mode: Runs an ad-hoc panel of user-named models with custom stances (for/against) or roles from a catalog of 19 role definitions. - Cost Control and Failover: Estimates costs before running, enforces hard cost caps, retries failed calls, and substitutes fallback models within the same budget. - Use Case: Before merging a risky refactor, ask for a level 2 architecture review: six models acting as system architect, performance engineer, and other roles each critique the change, and you receive a synthesis of where they agree, where they disagree, and a recommendation. ## Quick Start Ask the assistant to run a tiered review of your design document at level 1, for example: "Run a level 1 panel review of this architecture proposal."

Frequently Asked Questions about panel

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

FAQPage Schema
How do I get second opinions from multiple AI models at once?▼

Use the run subcommand with a prompt file and either a roster file or a comma-separated model list. The script fans the prompt out to all models in parallel over OpenRouter and returns raw JSON responses for synthesis.

What is the difference between tiered review and flexible panel mode?▼

Tiered review builds a structured team at levels 1-3 with predefined professional roles per domain and fixed cost caps. Flexible panel mode lets you name exact models and assign custom stances or roles, with cost control only via an explicit --max-cost flag.

How much does a multi-model review cost on OpenRouter?▼

Level 1 uses three free models capped at $0.50, level 2 adds three economy models capped at $1.00, and level 3 adds two premium models capped at $10.00. The estimate subcommand previews cost before any API calls.

What happens when a model fails during a panel run?▼

The engine retries transient errors, then substitutes a fallback candidate from the roster within the same cost cap, recording swaps in a substitutions map. If every model fails the run exits with code 3, and synthesis is skipped when fewer than two models succeed.

Can I use models that are not in the curated catalog?▼

Yes, via the --models flag, but uncatalogued models cannot be cost-estimated and are not covered by the cost cap. The run output includes a warning key listing them so you can surface the uncapped spend.