roast

Stress-test ideas and plans with a multi-persona adversarial council returning a verdict and 48-hour test.

Updated Aug 5, 2026
One-click install
npx skills add https://github.com/AmitabhainArunachala/dharma_swarmv.01 --skill roast-amitabhainarunachala
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: roast
Source: https://github.com/AmitabhainArunachala/dharma_swarmv.01/tree/main/.warp/skills/roast
Command: npx skills add https://github.com/AmitabhainArunachala/dharma_swarmv.01 --skill roast-amitabhainarunachala

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Single-model feedback tends toward sycophancy, agreeing with how you framed an idea instead of challenging it. This Skill replaces one agreeable reviewer with a council of adversarial personas run as separate agents with clean context, so business ideas, build plans, launches, and pricing calls get genuinely stress-tested before you commit money or effort. ## Core Features & Use Cases - Adversarial persona council: Fans out five personas (contrarian, expansionist, first-principles, deep-researcher, buyer) as parallel agents that never see each other's output, defeating groupthink and sycophancy. - Independent judge synthesis: A separate judge agent that authored none of the analysis returns one verdict — GREEN, RESHAPE, or KILL — with scores, the biggest risk, and the biggest upside. - Mandatory 48-hour test: Every verdict includes a single falsifiable next action with a numeric threshold, so decisions convert into a runnable experiment before any code or spend. - Use Case: Before launching a $19/month subscription tool for freelancers, run the council; the buyer persona reveals churn risk, the researcher cites competitor churn data, and the judge returns RESHAPE — sell it as a $500 one-off audit to agencies instead. ## Quick Start Ask the agent to roast your business idea or plan, for example: "Roast this plan to launch a paid newsletter for indie hackers before I spend anything on it."

Frequently Asked Questions about roast

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

FAQPage Schema
How do I stress-test a business idea with AI before spending money?▼

Run an adversarial council: spin up contrarian, expansionist, first-principles, deep-researcher, and buyer personas as separate agents with clean context, then have an independent judge synthesize a GREEN, RESHAPE, or KILL verdict with a falsifiable 48-hour test.

How to reduce AI sycophancy when reviewing plans?▼

Use multiple adversarial personas as isolated agents that never see each other's output, and never tell them the verdict you expect. A separate judge that authored none of the analysis then synthesizes the findings, which defeats the single-model tendency to agree with your framing.

What is the difference between GREEN, RESHAPE, and KILL verdicts?▼

GREEN means pursue as framed and the cheapest test is a confirmation step. RESHAPE means the core has value but a load-bearing assumption like buyer, channel, or price is wrong. KILL means the fatal flaw survives the expansionist's best case and you should stop.

Can I use this to review Claude's own finished work?▼

Yes, the skill explicitly supports stress-testing Claude's own completed work and plans, not just new ideas. The same council procedure applies, with personas receiving the work as the brief and the judge returning a verdict.

What are the limitations of an adversarial persona council?▼

The council proposes but never acts — spending, launching, or executing on a GREEN verdict is a separate gated decision. Also, unsourced market numbers from the deep-researcher must be flagged rather than silently used, so evidence quality depends on available research tools.