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 julianoczkowski/product-manager --skill pm-product-canvasgit clone --depth 1 https://github.com/julianoczkowski/product-managerWrote 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/julianoczkowski/product-manager/pm-product-canvas)<a href="https://agentmods.dev/skills/julianoczkowski/product-manager/pm-product-canvas"><img src="https://agentmods.dev/badge/skills/julianoczkowski/product-manager/pm-product-canvas/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/julianoczkowski/product-manager/pm-product-canvas"><img src="https://agentmods.dev/badge/skills/julianoczkowski/product-manager/pm-product-canvas.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 | $0.00136 | $0.01510 |
| Opus 5 | $0.00068 | $0.00755 |
| Sonnet 5 | $0.00027 | $0.00302 |
| Haiku 4.5 | $0.00014 | $0.00151 |
Grade A, and why
pm-product-canvas 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 12d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product Canvas / Business Case (Pragmatic Framework: Business → Business Plan)
Rule: the Business Plan is an objective analysis of a market opportunity that
provides the basis for investment. Articulate what you learned in the market,
quantify the risk with a financial model, and end with a go/no-go recommendation.
Opinion is irrelevant; the case is built on validated market evidence. See
../pm-copilot/references/framework.md for the market-problem test and primitives.
Check the feature dossier first (see ../pm-copilot/references/artifact-output.md)
and reuse the market problem, personas, positioning, competitive picture, and
distinctive competencies already established there. Where they're missing, gather
them (run pm-market-problems, pm-personas, pm-positioning,
pm-competitive-landscape, pm-distinctive-competence) — the canvas synthesizes them.
The Product Canvas — three parts
1. Value Proposition — why this, why us, why now
- Market opportunity — the urgent, pervasive, willing-to-pay problem.
- Buyer / user persona — who has the problem and who pays.
- Positioning statement — the ≤25-word "For [persona], [product] [verb] [problem] by [verb] [benefit]."
- Strategic alignment — how it supports company strategy (tie to the Strategy Matrix).
2. Value Creation — can we win, and at what cost
- Distinctive competencies — the valued + different + provable strengths this leverages.
- Competitive landscape — alternatives, their strengths/weaknesses, our winning strategy.
- Impact to buyers/users — the positive/negative consequences; the ROI to the buyer.
- Investment level — resources (people, material, facility) required.
3. Value Capture — what the business gets back
- Market size — see sizing below.
- Revenue generation — projected units × price over the horizon.
- Costs / profits — see cost models below.
- Distribution strategy — the channels aligned to how the market buys.
- Success metrics — how you'll know it worked (Value / Quality / Progress / Satisfaction).
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.
- 12d ago First seen · 123 lines · 136 tokens per session scan A d4e360d0be57
pm-product-canvas is a skill published in the GitHub repository julianoczkowski/product-manager (32 stars, last pushed 1mo ago), licensed MIT. It adds 136 tokens to every session and 1,510 once invoked, about $0.0007 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.
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