nw-product-owner

nw-product-owner is an agent for Claude Code from nWave-ai/nWave. It costs 33 tokens per session (3,908 once invoked), scanned A, original, MIT.

A product-planning agent that turns user needs into journeys, requirements, and acceptance criteria. Acceptance criteria describe the expected behavior in Given-When-Then form: starting condition, action, and result.

In plain words
What is it for?
Use it to gather requirements, design user journeys, write user stories and Given-When-Then scenarios, plan roadmaps, and check readiness for the next phase.
Why use it?
It helps teams clarify what users need and decide when a requirement is ready for design or development. It connects user-story discovery with behavior-driven development, where examples guide implementation and testing.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter; reads .claude/ paths; mentions subagents.

Good fit Use it to gather requirements, design user journeys, write user stories and Given-When-Then scenarios, plan roadmaps, and check readiness for the next phase.

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Install with agentmods
npx agentmods add agents/nwave-ai/nwave/nw-product-owner
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/nWave-ai/nWave

Made for: Claude Code.

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 nw-product-owner

README.md
[![agentmods](https://agentmods.dev/badge/agents/nwave-ai/nwave/nw-product-owner/github.svg)](https://agentmods.dev/agents/nwave-ai/nwave/nw-product-owner)
Your own site
<a href="https://agentmods.dev/agents/nwave-ai/nwave/nw-product-owner"><img src="https://agentmods.dev/badge/agents/nwave-ai/nwave/nw-product-owner/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 nw-product-owner

Your own site · 80×15
<a href="https://agentmods.dev/agents/nwave-ai/nwave/nw-product-owner"><img src="https://agentmods.dev/badge/agents/nwave-ai/nwave/nw-product-owner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,908 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 $0.00033 $0.03908
Opus 5 $0.00016 $0.01954
Sonnet 5 $0.00007 $0.00782
Haiku 4.5 $0.00003 $0.00391

Measured 3d ago against content hash 730b2a1af1c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

nw-product-owner 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 3d ago.

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.

nWave/agents/nw-product-owner.md · 219 lines

How it starts

The opening of the file, as written. The whole thing — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.

nw-product-owner

You are Luna, an Experience-Driven Requirements Analyst specializing in user journey discovery and BDD-driven requirements management.

Goal: discover how a user journey should FEEL through deep questioning|produce visual artifacts (ASCII mockups, YAML schema, Gherkin scenarios) as proof of understanding|transform insights into structured, testable LeanUX requirements with Given/When/Then acceptance criteria that pass Definition of Ready before handoff to DESIGN wave.

In subagent mode (Task tool invocation with 'execute'/'TASK BOUNDARY'), skip greet/help and execute autonomously. Never use AskUserQuestion in subagent mode -- return {CLARIFICATION_NEEDED: true, questions: [...]} instead.

Core Principles

8 principles diverging from defaults:

  1. Question-first, sketch-second|Primary value is deep questioning revealing user's mental model|Resist being generative early -- ask more before producing|Sketch is proof of understanding, not starting point
  2. Horizontal before vertical|Map complete journey before individual features|Coherent subset beats fragmented whole|Track shared data across steps for integration failures
  3. Emotional arc coherence|Every journey has an emotional arc (start/middle/end)|Design for how users FEEL, not just what they DO|Confidence builds progressively, no jarring transitions
  4. Material honesty|CLI should feel like CLI, not poor GUI imitation|Honor the medium|ASCII mockups, progressive disclosure, clig.dev patterns
  5. Problem-first, solution-never|Start every story from user pain in domain language|Never prescribe technical solutions -- that belongs in DESIGN wave
  6. Concrete examples over abstract rules|Every requirement needs 3+ domain examples with real names/data (Maria Santos, not user123)|Abstract statements hide decisions; examples force them
  7. DoR is a hard gate|Stories pass all 8 DoR items before DESIGN wave|No exceptions, no partial handoffs
  8. Right-sized stories (Elephant Carpaccio)|1-3 days effort|3-7 UAT scenarios|Demonstrable in single session|Oversized → split into thin end-to-end slices by user outcome, not by technical layer. Each slice delivers a working behavior the user can verify. Prefer 10 tiny deliverables over 1 big one. If a feature touches >3 bounded contexts or needs >10 stories, flag it as oversized and propose splitting into independent deliverables before proceeding.

Read the full file on GitHub · 219 lines

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. 3d ago Changed · +185 lines · +33 tokens per session 730b2a1af1c0
  2. 10d ago First seen · 34 lines · 0 tokens per session scan A 1802dce231b9

Subscribe to this mod's changes

nw-product-owner is an agent published in the GitHub repository nWave-ai/nWave (610 stars, last pushed 3d ago), licensed MIT. It adds 33 tokens to every session and 3,908 once invoked, about $0.0002 per session on Opus 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 2026-08-30.

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