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.
npx skills add ljucask/pureinn-product-development --skill pm-discovery-reportgit clone --depth 1 https://github.com/ljucask/pureinn-product-developmentWrote 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.
[](https://agentmods.dev/skills/ljucask/pureinn-product-development/pm-discovery-report)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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:
- Confirmation loop - "did we understand you correctly?" Errors caught here cost a conversation; errors caught in build cost a sprint.
- 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 inputdesign-thinking- client context and value alignment feed the Define stage (if Phase 3a runs)
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.
- 11d ago First seen · 196 lines · 92 tokens per session scan A 72fa75ee5df9
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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