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-lean-canvasgit 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-lean-canvas)<a href="https://agentmods.dev/skills/ljucask/pureinn-product-development/pm-lean-canvas"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-lean-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/ljucask/pureinn-product-development/pm-lean-canvas"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-lean-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 | $0.00047 | $0.02951 |
| Opus 5 | $0.00023 | $0.01476 |
| Sonnet 5 | $0.00009 | $0.00590 |
| Haiku 4.5 | $0.00005 | $0.00295 |
Grade A, and why
pm-lean-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 — 313 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PM - Lean Canvas
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.- Review required: the artifact contains commitments - after drafting, require the user's review before finalizing; do not close decisions autonomously.
What this skill does
Produces a one-page business model focused on problem-solution fit and early traction. Lean Canvas is optimized for the validation stage - it forces explicit problem/solution pairing, early adopter definition, and unfair advantage thinking before scaling.
Unlike the Business Model Canvas (which maps an established business), Lean Canvas maps a hypothesis. Each block is a bet that needs validation.
No invented market data or assumptions. Claude structures the canvas; user provides the business knowledge from Phase 2 research and Phase 3a Go/No-Go outcomes.
Dependencies
Recommended before running:
pm-hypotheses(Results mode) - Go/No-Go verdict must be GO before running this skilldesign-thinking- Problem, UVP, and Solution blocks draw directly from design thinking synthesispm-personas- Customer Segments and Early Adopters block requires validated persona workpm-market-analysis- Channels and Revenue Streams informed by market research
Produces artifacts used by:
pm-prd- Lean Canvas is a PRD section (business model overview)pm-business-case- Revenue Streams and Cost Structure from canvas feed financial projectionspm-product-roadmap- channels and key metrics inform roadmap priorities
Step 0: Current state check
Check for existing artifact:
pureinn-workspace/[slug]/artifacts/phase-3-define/lean-canvas.md
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 · 313 lines · 47 tokens per session scan A 42e65dcbbf41
pm-lean-canvas is a skill published in the GitHub repository ljucask/pureinn-product-development (2 stars, last pushed 2d ago), licensed MIT. It adds 47 tokens to every session and 2,951 once invoked, about $0.0002 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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