pm-discovery-interview

pm-discovery-interview is a skill for Claude Code from ljucask/pureinn-product-development. It costs 105 tokens per session (5,416 once invoked), scanned A, original, MIT.

A meeting-preparation tool for planning a live discovery session with a client, sponsor, or users. It reviews earlier notes and documents, then creates an agenda focused on unanswered questions.

In plain words
What is it for?
Use it to prepare questions, follow-ups, and discussion techniques for a discovery meeting, and to save the agenda alongside the later meeting notes.
Why use it?
It helps prevent repeating questions or overlooking important gaps. Missing information is marked instead of being invented.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; mentions subagents; names the AskUserQuestion tool.

Part of the pureinn-product-development plugin — 51 skills, 1 command shipped together

Good fit Use it to prepare questions, follow-ups, and discussion techniques for a discovery meeting, and to save the agenda alongside the later meeting notes.

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Install with agentmods
npx agentmods add skills/ljucask/pureinn-product-development/pm-discovery-interview
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 ljucask/pureinn-product-development --skill pm-discovery-interview
Clone the repo
git clone --depth 1 https://github.com/ljucask/pureinn-product-development

Made for: Claude Code.

Or install pureinn-product-development, the plugin that ships this one along with the rest of its 51 skills, 1 command.

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 pm-discovery-interview

README.md
[![agentmods](https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-discovery-interview/github.svg)](https://agentmods.dev/skills/ljucask/pureinn-product-development/pm-discovery-interview)
Your own site
<a href="https://agentmods.dev/skills/ljucask/pureinn-product-development/pm-discovery-interview"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-discovery-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 pm-discovery-interview

Your own site · 80×15
<a href="https://agentmods.dev/skills/ljucask/pureinn-product-development/pm-discovery-interview"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-discovery-interview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 105 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,416 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 $0.00105 $0.05416
Opus 5 $0.00053 $0.02708
Sonnet 5 $0.00021 $0.01083
Haiku 4.5 $0.00011 $0.00542

Measured 10d ago against content hash 512ddc67f4df, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

pm-discovery-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 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.

skills/pm-discovery-interview/SKILL.md · 346 lines

How it starts

The opening of the file, as written. The whole thing — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PM - Discovery Interview Prep

Agent mode (--agent)

Supports --agent: runs autonomously in a subagent, drafts the agenda from existing inputs, and returns a short summary + coverage note.

  • No flag → interactive (default); if inputs are heavy, offer agent mode.
  • --agent → obey. First check inputs are complete. Anything missing: do NOT invent it - mark [ASSUMED - what/why] in the output and summary. Never hallucinate to fill a gap.

What this skill does

Prepares you for a live discovery session. It does NOT run the interview - the interview happens in the room, guided by the agenda this skill produces. This skill:

  1. Reads what discovery has already covered (prior meetings/ notes, Track A-D artifacts, the Discovery Report if one exists)
  2. Builds a coverage map - which discovery areas are done, thin, or untouched
  3. Compiles a session agenda targeting the biggest gaps, with the actual questions, follow-ups, and techniques written out in full
  4. Saves the agenda to meetings/prep/ so it pairs with the meeting note that pm-meeting produces afterward

Self-contained (no external file needed): the complete question bank and technique library are embedded in this skill, in the Question bank section at the bottom. The skill depends on nothing outside itself - no companion document, no docs/ file. Run it standalone at any time: to compile a targeted agenda, to walk the full set of questions live with a client, or to proof-check your own idea by being your own toughest client.

Standalone agenda output: the agenda it produces is also self-contained - every question, follow-up, red-flag answer, and technique is written out in full, not referenced by module number. Print the agenda and walk into the session with nothing else; no laptop, no file, no Claude running during the session itself.


The coverage areas (module map)

Each area maps to a module in the Question bank below. Use this to decide what a session should target; pull the actual questions from the matching module.

Read the full file on GitHub · 346 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 · 346 lines · 105 tokens per session scan A 512ddc67f4df

Subscribe to this mod's changes

pm-discovery-interview is a skill published in the GitHub repository ljucask/pureinn-product-development (2 stars, last pushed yesterday), licensed MIT. It adds 105 tokens to every session and 5,416 once invoked, about $0.0005 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 2026-08-31.

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