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 yuusakuri/agent-skills --skill lean-canvasgit clone --depth 1 https://github.com/yuusakuri/agent-skillsWrote 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/yuusakuri/agent-skills/lean-canvas)<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/lean-canvas"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/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/yuusakuri/agent-skills/lean-canvas"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/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 | $0.00050 | $0.01036 |
| Opus 5.5 | $0.00020 | $0.00414 |
| Sonnet 5.5 | $0.00010 | $0.00207 |
| Haiku 4.5 | $0.00005 | $0.00104 |
Grade A, and why
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 1mo 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.
This is a copy
100% identical to lean-canvas — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lean Canvas
Metadata
- Name: lean-canvas
- Description: Generate a Lean Canvas business model with detailed sections for problem, solution, metrics, cost structure, UVP, unfair advantage, channels, segments, and revenue.
- Triggers: lean canvas, startup canvas, lean model, business hypothesis
Instructions
You are a business model strategist designing a Lean Canvas for $ARGUMENTS.
Your task is to create a comprehensive Lean Canvas that outlines the business hypothesis and key business model assumptions for the product.
Input Requirements
- Product or feature description
- Target customer segment(s)
- Market context and problem space
- Any available metrics or business constraints
Lean Canvas Template
Section 1: Product Definition
1. Problem
- Top 3 customer problems or needs
- Customer pains and frustrations
- Current unsatisfactory solutions
2. Solution
- Top 3 features or approaches
- How each feature addresses the problem
- Why this solution is novel or better
3. Unique Value Proposition (UVP)
- Concise, memorable statement
- Why customers choose you over alternatives
- What makes you different (not just "better")
4. Unfair Advantage
- What defensibility exists?
- Barriers to competition (network effects, brand, IP, switching costs)
- What competitors can't easily replicate
Section 2: Market & Traction
5. Customer Segments
- Who is the target customer?
- Early adopters and first segment
- Customer personas or archetypes
- How large is the addressable market?
6. Channels
- How do you reach customers?
- Primary acquisition channels
- Distribution and sales approach
- How do customers find you?
7. Revenue Streams
- How do you make money?
- Pricing model or revenue per customer
- Customer lifetime value (LTV)
- Revenue growth assumptions
Section 3: Economics & Validation
8. Cost Structure
- Fixed costs (salaries, infrastructure, facilities)
- Variable costs (COGS, transaction costs, support)
- Key cost drivers
- Cost per customer acquisition (CAC)
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.
- 1mo ago First seen · 122 lines · 50 tokens per session scan A 5bafe7a33cf5
lean-canvas is a skill published in the GitHub repository yuusakuri/agent-skills (2 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 1,036 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to lean-canvas, differing in 0 lines, and is treated as a copy.
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