jpb

Vets product ideas by collecting independent product boxes from multiple frontier AI models.

Updated Jun 2, 2026
One-click install
npx skills add https://github.com/line7works/tony-skills --skill jpb-line7works
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jpb
Source: https://github.com/line7works/tony-skills/tree/main/plugins/jpb/skills/jpb
Command: npx skills add https://github.com/line7works/tony-skills --skill jpb-line7works

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve? Evaluating a raw product idea with a single AI model gives one opinion; this Skill gathers independent verdicts from three to six frontier models (GPT, Claude, Gemini, DeepSeek, Qwen) that cannot see each other's work, so genuine consensus and real disagreements become visible before any building starts. ## Core Features & Use Cases - Independent box fleet: Sends one scrubbed, name-free brief to 3-6 isolated model teams, each filling a strict product-box template (name, pitch, buyer, 3 features, 9 distinctive properties, 3 assumptions), validated mechanically. - Dual independent judges: Two fresh judges cluster the boxes by meaning, tally cross-vendor consensus, and produce a debate card of genuine either-or disagreements — with no recommendation language anywhere. - Full run record and arcade page: Produces one markdown run doc (brief, verbatim boxes, tallies, reconciliation, debate card, cost actuals) plus a self-contained HTML projection, and a /jpb resolve flow to record the human's verdicts and close the run. - Use Case: Before drafting a build plan, run the product box on a new app idea to see whether independent models converge on the same buyer and assumptions, then debate the flagged disagreements yourself. ## Quick Start Ask the assistant to run /jpb on your product idea or PRD file to collect independent product boxes from multiple AI models.

Frequently Asked Questions about jpb

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

FAQPage Schema
How do I get independent AI model opinions on a product idea?

Run /jpb with your idea text or a PRD file path. The skill scrubs out the working name, sends the identical brief to 3-6 isolated frontier models, and collects each one's filled product box verbatim into a single run doc.

What is a product box in idea validation?

A product box is a fixed template each model fills: a name, one-sentence pitch, single buyer, 3 things the product does, 9 distinctive properties tagged build/sell/run, and 3 load-bearing assumptions. A validator script rejects any box that deviates from the format.

Does jpb require the readers plugin to run?

Yes. All box and judge calls are dispatched through the readers plugin's roster, which owns model ids, transports, sandboxes, and parity settings. Without readers and the Workflow tool for the Claude rows, the run stops before any spend.

How much does a jpb run cost?

Only the OpenRouter-routed boxes (DeepSeek, Qwen) bill marginal dollars — roughly pennies for a short brief and tens of cents for a PRD-length one. The skill fetches actual billed USD per generation and records a per-box cost block in the run doc.

Why does jpb stop before launching the model fleet?

The approval step is a hard pause: it shows the scrubbed brief, the cost estimate, and the exact roster of calls, then waits for explicit approval. No box launches without it, and failed boxes are recorded rather than retried.

When should I not use multi-model consensus for an idea?

Skip it when the input is too thin to support 9 distinctive properties and 3 assumptions — the skill itself refuses bare one-liners and asks enrichment questions instead. It also never recommends; decisions remain a human debate step.