nw-bdd-requirements

nw-bdd-requirements is a skill for Claude Code from nWave-ai/nWave. It costs 31 tokens per session (2,835 once invoked), scanned A, original, MIT.

A guide to discovering software requirements through structured team conversations and concrete examples. It explains BDD, Example Mapping, and the Three Amigos: a business expert, a developer, and a tester exploring a feature together.

In plain words
What is it for?
Use it to explore user stories, define what must be true for a feature to be complete, record examples and unanswered questions, and decide whether work should be split or investigated first.
Why use it?
It uncovers unclear assumptions, edge cases, and missing acceptance rules before implementation begins. This reduces misunderstandings between people who need, build, and test the software.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Good fit Use it to explore user stories, define what must be true for a feature to be complete, record examples and unanswered questions, and decide whether work should be split or investigated first.

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Install with agentmods
npx agentmods add skills/nwave-ai/nwave/nw-bdd-requirements
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.

Any agent
npx skills add nWave-ai/nWave --skill nw-bdd-requirements
Clone the repo
git clone --depth 1 https://github.com/nWave-ai/nWave

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,835 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00031 $0.02835
Opus 5 $0.00015 $0.01418
Sonnet 5 $0.00006 $0.00567
Haiku 4.5 $0.00003 $0.00283

Measured 10d ago against content hash 6091f8a557c1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

nw-bdd-requirements 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 10d 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/skills/nw-bdd-requirements/SKILL.md · 325 lines

How it starts

The opening of the file, as written. The whole thing — 325 lines — stays where its author put it; the contents beside it link to each section on GitHub.

BDD Requirements Discovery

"If you're not having conversations, you're not doing BDD." -- Liz Keogh

BDD discovers "what we don't know we don't know" through collaborative exploration with concrete examples, not tools or formats.

The Three Amigos

Three perspectives revealing each other's blindspots:

  1. Problem Owner (PO, BA, Domain Expert): business need | acceptance criteria | domain knowledge
  2. Problem Solver (Developer, Engineer): technical constraints | implementation complexity | technical edge cases
  3. Skeptic (Tester, QA): failure modes | edge cases and boundaries | challenge assumptions

Session Structure (25-minute timebox)

  1. Read user story aloud (2 min) -- shared context
  2. Identify acceptance criteria/rules (8 min) -- "what must be true for done?"
  3. Explore examples per rule (12 min) -- concrete scenarios, edge cases
  4. Capture questions (ongoing) -- unknowns on red cards
  5. Review and summarize (3 min) -- shared understanding check

If unmappable in 25 min: too large (split) | too uncertain (spike) | team needs practice.

Example Mapping

Four Card Types

  • Yellow: User Story (1 per session) | Blue: Business Rules/AC | Green: Concrete Examples | Red: Questions/Unknowns (blockers)

Visual Layout

[Yellow] User Story: Transfer money between accounts
  |
  +-- [Blue] Rule: Amount must not exceed source balance
  |     +-- [Green] $500 balance, transfer $400 -> succeeds
  |     +-- [Green] $500 balance, transfer $500 -> succeeds (boundary)
  |     +-- [Green] $500 balance, transfer $501 -> fails
  |     +-- [Red] What happens if balance changes during transfer?
  |
  +-- [Blue] Rule: Both accounts belong to same customer
  |     +-- [Green] Transfer between checking and savings -> succeeds
  |     +-- [Green] Transfer to friend's account -> requires different flow
  |
  +-- [Blue] Rule: Transfer creates transaction records
        +-- [Green] $100 transfer -> 2 transactions (debit + credit)
        +-- [Red] What timezone for timestamps?

Read the full file on GitHub · 325 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. 10d ago First seen · 325 lines · 31 tokens per session scan A 6091f8a557c1

Subscribe to this mod's changes

nw-bdd-requirements is a skill published in the GitHub repository nWave-ai/nWave (610 stars, last pushed 4d ago), licensed MIT. It adds 31 tokens to every session and 2,835 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.