nw-interviewing-techniques

nw-interviewing-techniques is a skill for Claude Code from nWave-ai/nWave. It costs 26 tokens per session (949 once invoked), scanned A, original, MIT.

A guide to interviewing people about their problems, needs, and workarounds. It includes Mom Test questions, a method for avoiding leading questions, along with Jobs to Be Done analysis and assumption testing.

In plain words
What is it for?
Use it to conduct problem-discovery interviews, understand someone’s job, test assumptions, measure urgency, and assess whether a proposed solution matters.
Why use it?
It helps separate real evidence from polite opinions or guesses. Better questions reveal what people actually did, struggled with, and committed to.

Skill for Claude Code

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

Good fit Use it to conduct problem-discovery interviews, understand someone’s job, test assumptions, measure urgency, and assess whether a proposed solution matters.

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Install with agentmods
npx agentmods add skills/nwave-ai/nwave/nw-interviewing-techniques
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-interviewing-techniques
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-interviewing-techniques

README.md
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Your own site
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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.

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Your own site · 80×15
<a href="https://agentmods.dev/skills/nwave-ai/nwave/nw-interviewing-techniques"><img src="https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-interviewing-techniques.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 949 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 $0.00026 $0.00949
Opus 5.5 $0.00010 $0.00380
Sonnet 5.5 $0.00005 $0.00190
Haiku 4.5 $0.00003 $0.00095

Measured 1mo ago against content hash 4b0e4c1cbfda, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nw-interviewing-techniques 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 1mo 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-interviewing-techniques/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Interviewing Techniques

Questioning Toolkit by Purpose

Problem Discovery

Understand if problem is real and worth solving.

  • "Tell me about the last time you [encountered this problem]."
  • "What was the hardest part about that?"
  • "What did you do about it?" | "What don't you love about that solution?" | "What else have you tried?"

Understanding the Job

Map the job-to-be-done and desired outcomes.

  • "What are you ultimately trying to accomplish?"
  • "Walk me through your process step by step."
  • "At each step, how do you know if you've succeeded?"
  • "What slows you down or frustrates you most?" | "What workarounds have you created?"

Probing Assumptions

Challenge beliefs and uncover truth.

  • "What makes you believe that?" | "What would need to be true for this to work?"
  • "What could we assume instead?" | "What would change your mind?"

Testing Commitment

Distinguish interest from commitment.

  • "Would you be willing to [specific action]?" | "What would you pay for this?"
  • "Can you introduce me to someone else with this problem?" | "When can we schedule a follow-up?"

Exploring Implications

Understand impact and urgency.

  • "If this were solved, what would change?" | "What would that enable you to do?"
  • "What would happen if we didn't solve this?"

Interview Conduct Rules

Do: Ask about past specifics | Open, non-directive questions | Seek commitment not praise | Keep informal | 80% listening | Talk about their life first

Avoid: Future behavior questions | Leading questions | Accepting compliments as validation | Talking >20% | Mentioning idea before understanding problem | Formal settings

Assumption Challenging

Triggers

Challenge when: belief without evidence | prediction about future | negative feedback dismissed | skipping to solution | single data point relied on

Challenge Format

  1. "What evidence supports this?" -- specific past examples
  2. "What would disprove this?" -- falsification criteria
  3. "What's the opposite assumption?" -- explore alternatives
  4. "Who would disagree and why?" -- disconfirming perspectives

Read the full file on GitHub · 109 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. 1mo ago First seen · 109 lines · 26 tokens per session scan A 4b0e4c1cbfda

Subscribe to this mod's changes

nw-interviewing-techniques is a skill published in the GitHub repository nWave-ai/nWave (620 stars, last pushed 1mo ago), licensed MIT. It adds 26 tokens to every session and 949 once invoked, about $0.0001 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 2026-09-03.