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.
git clone --depth 1 https://github.com/Amey-Thakur/AI-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/commands/amey-thakur/ai-skills/business-model-canvas)<a href="https://agentmods.dev/commands/amey-thakur/ai-skills/business-model-canvas"><img src="https://agentmods.dev/badge/commands/amey-thakur/ai-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/commands/amey-thakur/ai-skills/business-model-canvas"><img src="https://agentmods.dev/badge/commands/amey-thakur/ai-skills/business-model-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 | $0.00023 | $0.00260 |
| Opus 5 | $0.00012 | $0.00130 |
| Sonnet 5 | $0.00005 | $0.00052 |
| Haiku 4.5 | $0.00002 | $0.00026 |
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.
What it actually says
You were invoked as a slash command. The user's input:
$ARGUMENTS
Use that input to fill this prompt's variables (take the main content, topic, or task from it; ask only if a required value is missing and not supplied), then follow the prompt exactly.
Map the business model for:
{business}
Use the business-model-design skill.
Cover:
- The customer segment, specifically, and the job they are hiring this for.
- The value proposition, stated as the outcome they get.
- Channels: how they find it and how it reaches them.
- Revenue model and why it matches how value accrues.
- Key resources and activities the business must own.
- Cost structure and what drives it.
Then test consistency: does the channel support the price point, does the cost structure work at the stated price, does the segment have the willingness to pay assumed.
Rules: name the inconsistencies rather than presenting a tidy canvas. State which pieces are assumptions rather than known. If the model only works at a scale the business has not reached, say so.
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 · 37 lines · 23 tokens per session scan A fbffe75c83fa
business-model-canvas is a command published in the GitHub repository Amey-Thakur/AI-SKILLS (7 stars, last pushed 6d ago), licensed MIT. It adds 23 tokens to every session and 260 once invoked, about $0.0001 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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specify
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converge
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implement
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analyze
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