pm-discovery-report

pm-discovery-report is a skill for Claude Code from ljucask/pureinn-product-development. It costs 92 tokens per session (2,496 once invoked), scanned A, original, MIT.

A tool for creating a client-facing report that explains what was learned during product discovery and what should happen next. Product discovery is the early work of understanding a business, its users, and their problems before building software.

In plain words
What is it for?
Use it to summarize findings, user needs, recommendations, open questions, and assumptions after discovery sessions, then update the report as discovery progresses.
Why use it?
It turns scattered research and conversations into a document clients can check, making misunderstandings visible before they become expensive development work.

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 summarize findings, user needs, recommendations, open questions, and assumptions after discovery sessions, then update the report as discovery progresses.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ljucask/pureinn-product-development/pm-discovery-report
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-report
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-report

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/ljucask/pureinn-product-development/pm-discovery-report"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-discovery-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,496 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 $0.00092 $0.02496
Opus 5 $0.00046 $0.01248
Sonnet 5 $0.00018 $0.00499
Haiku 4.5 $0.00009 $0.00250

Measured 11d ago against content hash 72fa75ee5df9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

pm-discovery-report 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 11d 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-report/SKILL.md · 196 lines

How it starts

The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PM - Discovery Report (client-facing)

Agent mode (--agent)

Supports --agent: runs autonomously in a subagent, drafts the artifact 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

Produces the document you put in front of the client: what we heard from you, what we learned about your users and processes, where the value is, what we recommend, what's still open. Its job is dual:

  1. Confirmation loop - "did we understand you correctly?" Errors caught here cost a conversation; errors caught in build cost a sprint.
  2. Credibility - a structured, insightful read-back of their own business is the strongest expertise signal you can send during discovery.

Two documents, one truth: pm-problem-validation remains the internal convergence artifact (verdict, track completeness, Go/No-Go framing). This report retells the same findings for the client - narrative, no internal scaffolding. Never let the two diverge on facts; they differ only in audience and tone.

Incremental by design: run it after the first session and re-run after each one. The report header states its own maturity ("Discovery in progress - based on N sessions" → "Final"). An interim report sent mid-discovery is a feature, not a compromise - it keeps the client in the confirmation loop.


Dependencies

Reads (whatever exists - none are hard prerequisites):

  • meetings/ - all client-discovery and customer-discovery notes (primary source early on)
  • Track A-D artifacts in artifacts/phase-2-discovery/ (as they appear)
  • problem-validation-summary.md - when it exists, the final report anchors to it

Produces artifacts used by:

  • pm-scope-brief - the Discovery Report is its primary input
  • design-thinking - client context and value alignment feed the Define stage (if Phase 3a runs)

Read the full file on GitHub · 196 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. 11d ago First seen · 196 lines · 92 tokens per session scan A 72fa75ee5df9

Subscribe to this mod's changes

pm-discovery-report is a skill published in the GitHub repository ljucask/pureinn-product-development (2 stars, last pushed yesterday), licensed MIT. It adds 92 tokens to every session and 2,496 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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