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 deciqAI/knowledge-skills --skill business-model-canvasgit clone --depth 1 https://github.com/deciqAI/knowledge-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/deciqai/knowledge-skills/business-model-canvas)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/business-model-canvas"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/business-model-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/deciqai/knowledge-skills/business-model-canvas"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/business-model-canvas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00100 | $0.02187 |
| Opus 5 | $0.00050 | $0.01094 |
| Sonnet 5 | $0.00020 | $0.00437 |
| Haiku 4.5 | $0.00010 | $0.00219 |
Grade A, and why
business-model-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 — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Business Model Canvas
Overview
A business creates, delivers, and captures value through nine interlocking blocks (Customer Segments, Value Propositions, Channels, Customer Relationships, Revenue Streams, Key Resources, Key Activities, Key Partners, Cost Structure). The canvas maps each block and exposes which claims are specific enough to be tested vs. still wishful thinking. Introduced by Osterwalder (HEC Lausanne, 2004); popularized in Business Model Generation (Wiley, 2010).
Compose: first-principles to clarify genuine dependencies · occams-razor to compare models · inversion to find the block whose failure kills the model · second-order-thinking to trace block cascades.
When to Use
Apply when: designing a new business · evaluating an existing business for block-level risk · considering a pivot · comparing against incumbents · before raising capital · sizing an AI-native model's economics under AI capex / usage-based margins / AI-native competition (does the foundation-model provider's pricing or its own product roadmap sit in your Cost Structure and Key Partners?).
When NOT to use: no customer named yet (do first-principles first) · canvas done and nothing validated since · purely operational decision · you will fill it in but never test it.
Coaching Novices (Adaptive Front Door)
- Engine mode: user has a concrete case → run The Process directly.
- Coach mode: user is unfamiliar or has no concrete case → guide step by step.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
- One-line what-it-is: nine blocks map how a business creates, delivers, and captures value — so you can see which claims are testable and which are wishful thinking.
- Check fit against When to Use / When NOT to use. If no customer named, redirect to first-principles.
- Elicit their real business — one specific segment and one specific value prop before opening the other seven blocks.
[WAIT — do not advance until user responds]
- Walk the nine blocks one at a time in dependency order (Segments → Value Prop → Channels → Relationships → Revenue → Resources → Activities → Partners → Cost). Force specifics.
[WAIT — do not advance until user responds]
- Close by naming the single block with the most unvalidated assumption and the next-week experiment to test it.
[WAIT — do not advance until user responds]
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 130 lines · 100 tokens per session scan A dbd473c7fb16
business-model-canvas is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 10d ago), licensed MIT. It adds 100 tokens to every session and 2,187 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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