arn-spark-stress-interview

arn-spark-stress-interview is a skill for Claude Code from AppsVortex/arness. It costs 109 tokens per session (3,189 once invoked), scanned A, original, MIT.

A structured exercise that simulates interviews with three different user personas to test a product concept. It first checks whether people care about the problem, then examines the product pitch and possible dealbreakers.

In plain words
What is it for?
Use it to test a concept with synthetic users, challenge its assumptions, and turn interview findings into recommendations.
Why use it?
It exposes weak demand, missing value, and objections before the product is built. The product concept stays unchanged while findings are collected in an interview report.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: mentions CLAUDE.md; names the AskUserQuestion tool.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the arn-spark plugin — 28 skills, 20 agents shipped together

Good fit Use it to test a concept with synthetic users, challenge its assumptions, and turn interview findings into recommendations.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add AppsVortex/arness
Claude Code
/plugin install arn-spark

Made for: Claude Code.

Or install arn-spark, the plugin that ships this one along with the rest of its 28 skills, 20 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for arn-spark-stress-interview

README.md
[![agentmods](https://agentmods.dev/badge/skills/appsvortex/arness/arn-spark-stress-interview/github.svg)](https://agentmods.dev/skills/appsvortex/arness/arn-spark-stress-interview)
Your own site
<a href="https://agentmods.dev/skills/appsvortex/arness/arn-spark-stress-interview"><img src="https://agentmods.dev/badge/skills/appsvortex/arness/arn-spark-stress-interview/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for arn-spark-stress-interview

Your own site · 80×15
<a href="https://agentmods.dev/skills/appsvortex/arness/arn-spark-stress-interview"><img src="https://agentmods.dev/badge/skills/appsvortex/arness/arn-spark-stress-interview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 109 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,189 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00109 $0.03189
Opus 5.5 $0.00044 $0.01276
Sonnet 5.5 $0.00022 $0.00638
Haiku 4.5 $0.00011 $0.00319

Measured today against content hash c2ae6e15d8ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

arn-spark-stress-interview scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured today.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/arn-spark/skills/arn-spark-stress-interview/SKILL.md · 258 lines

How it starts

The opening of the file, as written. The whole thing — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Arness Spark Stress Interview

Stress-test a product concept by conducting structured synthetic user interviews. This skill generates 3 synthetic personas from the product concept's persona moulds, applies adversarial casting overlays (Pragmatist, Skeptic, Power User), and runs each through a 3-phase "Two-Part Reveal" interview protocol:

  1. Phase 1 -- Blind Problem Check: The persona hears about the problem without knowing the product exists. Do they even care?
  2. Phase 2 -- Elevator Pitch Reveal: The full product concept is revealed. What resonates? What falls flat? What is missing?
  3. Phase 3 -- Dealbreaker Probe: The weakest aspects are presented head-on. Would they still use this?

The process produces brutally honest feedback from 3 distinct adversarial perspectives, synthesized into actionable concept update recommendations. The product concept is read but never modified -- all recommendations are captured in the interview report for later review.

Prerequisites

Configuration Check

  1. Read the project's CLAUDE.md and check for a ## Arness section
  2. If found, extract the configured Vision directory and Reports directory paths
  3. If no ## Arness section exists or Arness Spark fields are missing, inform the user: "Arness Spark is not configured for this project yet. Run /arn-brainstorming to get started — it will set everything up automatically." Do not proceed without it.
  4. Create the reports directory structure if it does not exist: mkdir -p <reports-dir>/stress-tests/

Data Availability

Artifact Status Location Fallback
Product concept REQUIRED <vision-dir>/product-concept.md Cannot proceed without it -- suggest running /arn-spark-discover
Persona moulds REQUIRED Target Personas section of product concept Fallback cascade below
Product pillars ENRICHES Product Pillars section of product concept Interview proceeds but questions are less targeted
Competitive landscape ENRICHES Competitive Landscape section of product concept Phase 3 competitive comparison questions are skipped

Read the full file on GitHub · 258 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. today First seen · 258 lines · 109 tokens per session scan A c2ae6e15d8ff

Subscribe to this mod's changes

arn-spark-stress-interview is a skill published in the GitHub repository AppsVortex/arness (33 stars, last pushed today), licensed MIT. It adds 109 tokens to every session and 3,189 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-25.

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