discover

discover is a command for Claude Code from nWave-ai/nWave. It costs 24 tokens per session (699 once invoked), scanned A, original, MIT.

Conducts evidence-based product discovery through customer interviews and assumption testing. Use at project start to validate problem-solution fit.

Command for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: reads .claude/ paths.

Part of the nw plugin — 12 commands shipped together

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.

agentmods
npx agentmods add commands/nwave-ai/nwave/discover
Clone the repo
git clone --depth 1 https://github.com/nWave-ai/nWave

Made for: Claude Code.

Or install nw, the plugin that ships this one along with the rest of its 12 commands.

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 discover

README.md
[![agentmods](https://agentmods.dev/badge/commands/nwave-ai/nwave/discover.svg)](https://agentmods.dev/commands/nwave-ai/nwave/discover)
Your own site
<a href="https://agentmods.dev/commands/nwave-ai/nwave/discover"><img src="https://agentmods.dev/badge/commands/nwave-ai/nwave/discover.svg" alt="Measured on agentmods" height="20"></a>
Per session 24 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 699 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00024 $0.00699
Opus 5 $0.00012 $0.00349
Sonnet 5 $0.00005 $0.00140
Haiku 4.5 $0.00002 $0.00070

Measured today against content hash 3eedaa4cc2c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

discover 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/nw/commands/discover.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

NW-DISCOVER: Evidence-Based Product Discovery

Wave: DISCOVER | Agent: Scout (nw-product-discoverer)

Overview

Execute evidence-based product discovery through assumption testing and market validation. First wave in nWave (DISCOVER > DISCUSS > SPIKE > DESIGN > DEVOPS > DISTILL > DELIVER).

Scout establishes product-market fit through rigorous customer development using Mom Test interviewing principles and continuous discovery practices.

Context Files Required

  • docs/project-brief.md — Initial product vision (if available)
  • docs/market-context.md — Market research and competitive landscape (if available)

Previous Artifacts

None (DISCOVER is the first wave).

Wave Decisions Summary

Before completing DISCOVER, produce docs/feature/{feature-id}/discover/wave-decisions.md:

# DISCOVER Decisions — {feature-id}

## Key Decisions
- [D1] {decision}: {rationale} (see: {source-file})

## Constraints Established
- {constraint from evidence}

## Validated Assumptions
- {assumption validated by evidence, with confidence level}

## Invalidated Assumptions
- {assumption disproved, with evidence reference}

This summary enables downstream waves to quickly assess DISCOVER outcomes without reading all artifacts.

Document Update (Back-Propagation)

Not applicable (DISCOVER is the first wave — no prior documents to update).

Agent Invocation

@nw-product-discoverer

Execute *discover for {product-concept-name}.

Context Files: docs/project-brief.md (if available) | docs/market-context.md (if available)

Configuration:

  • interactive: high | output_format: markdown
  • interview_depth: comprehensive | evidence_standard: past_behavior

Progress Tracking

The invoked agent MUST create a task list from its workflow phases at the start of execution using TaskCreate. Each phase becomes a task with the gate condition as completion criterion. Mark tasks in_progress when starting each phase and completed when the gate passes. This gives the user real-time visibility into progress.

Read the full file on GitHub · 100 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. today First seen · 100 lines · 24 tokens per session scan A 3eedaa4cc2c9

Subscribe to this mod's changes

discover is a command published in the GitHub repository nWave-ai/nWave (605 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 699 once invoked, about $0.0001 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 2026-09-06.