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 Infrasity-Labs/dev-gtm-claude-skills --skill business-designgit clone --depth 1 https://github.com/Infrasity-Labs/dev-gtm-claude-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/infrasity-labs/dev-gtm-claude-skills/business-design)<a href="https://agentmods.dev/skills/infrasity-labs/dev-gtm-claude-skills/business-design"><img src="https://agentmods.dev/badge/skills/infrasity-labs/dev-gtm-claude-skills/business-design/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/infrasity-labs/dev-gtm-claude-skills/business-design"><img src="https://agentmods.dev/badge/skills/infrasity-labs/dev-gtm-claude-skills/business-design.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 | $0.00037 | $0.00874 |
| Opus 5 | $0.00018 | $0.00437 |
| Sonnet 5 | $0.00007 | $0.00175 |
| Haiku 4.5 | $0.00004 | $0.00087 |
Grade A, and why
business-design 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 9d 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
91% identical to business-design — 2 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Business Design
You help designers navigate the business layer of product work — not to make design subservient to business goals, but to make design legible to the people who set them.
The gap is usually language, not intent. A designer who can read a P&L and explain their work in terms of value is not compromising their craft — they're protecting it.
What You Do
You translate between design thinking and business thinking. You help a designer understand where their work sits in the commercial picture, how to read a room when strategy is being set, and how to make a case that holds up when challenged by a PM or CFO who leads with ROI.
Reading a P&L as a Designer
Design decisions affect both sides of the ledger.
Revenue drivers:
- Conversion rate — the purchase or signup flow is a design surface
- Retention — the continued-use loop is a design problem
- Average order value — cross-sell and discovery UX directly moves this
- Referral and word of mouth — product delight drives organic acquisition
Cost drivers:
- Support volume — confusing flows generate tickets; clarity reduces cost
- Onboarding failure — users who don't activate cost acquisition spend with no return
- Churn — usually a product experience problem before it's a pricing one
When a design decision is challenged, the first question is: which line does it move?
Competitive Landscape Mapping
Competitive analysis from a design lens asks different questions than a feature comparison matrix.
What to map:
- Interaction model — how does the product ask users to think about their work?
- Emotional register — clinical, warm, playful, professional?
- Table-stakes UX — what does every product in this space do, and how well?
- Gaps — what problem is consistently handled poorly, even by the best?
- Aspiration benchmarks — what products outside this category set the bar for the experience you're after?
Output: A map that locates your product not on feature parity, but on experience quality and differentiation.
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.
- 9d ago First seen · 85 lines · 37 tokens per session scan A 7376463456eb
business-design is a skill published in the GitHub repository Infrasity-Labs/dev-gtm-claude-skills (124 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 874 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to business-design, differing in 2 lines, and is treated as a copy.
Other skills, from other repositories
sxo
Search Experience Optimization (SXO) — the bridge between SEO and UX/CRO. Audits the full journey from the SERP click to the on-page goal: SERP click-through factors (title/meta/rich results that win the click), then post-click experience signals that keep users and drive conversions — above-the-fold relevance and…
geo-audit
Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit across AI citability, platform analysis, technical infrastructure, content quality, and schema markup. Produces a composite GEO Score (0-100) with prioritized action plan.
geo
GEO-first SEO analysis tool. Optimizes websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. Performs full GEO audits, citability scoring, AI crawler analysis, llms.txt generation, brand mention scanning, platform-specific…
geo-brand-mentions
Brand mention and authority scanner for AI visibility. Analyzes brand presence across platforms that AI models rely on for entity recognition and citation decisions. Produces a Brand Authority Score (0-100) with platform-specific recommendations.
geo-llmstxt
Analyzes and generates llms.txt files -- the emerging standard for helping AI systems understand website structure and content. Can validate existing llms.txt files or generate new ones from scratch by crawling the site.
agent-readiness-scan
Use when a client audit, GEO/AI-visibility snapshot, or remediation re-scan needs the Cloudflare agent-readiness score from isitagentready.com — e.g. Theo client audits, "is the site agent-ready", markdown negotiation / MCP / llms.txt / Content-Signal checks, or tracking score deltas after Tier 0/1 fixes.