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 mfwarren/entrepreneur-claude-skills --skill market-researchgit clone --depth 1 https://github.com/mfwarren/entrepreneur-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/mfwarren/entrepreneur-claude-skills/market-research)<a href="https://agentmods.dev/skills/mfwarren/entrepreneur-claude-skills/market-research"><img src="https://agentmods.dev/badge/skills/mfwarren/entrepreneur-claude-skills/market-research/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/mfwarren/entrepreneur-claude-skills/market-research"><img src="https://agentmods.dev/badge/skills/mfwarren/entrepreneur-claude-skills/market-research.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 | $0.00003 | $0.01018 |
| Opus 5 | $0.00002 | $0.00509 |
| Sonnet 5 | $0.00001 | $0.00204 |
| Haiku 4.5 | $0.00000 | $0.00102 |
Grade A, and why
market-research 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Research
TAM/SAM/SOM analysis, customer persona development, survey design, and market sizing for new products, markets, or pivots.
Purpose
Make better business decisions by understanding the market before you build. This skill structures market research into actionable outputs — not academic reports. Focus on information that changes what you'd do.
Workflow
Step 1: Define the Research Question
Ask the user:
- What decision are you trying to make? (launch, pivot, expand, price, position)
- What market or industry?
- What do you already know? What's your current assumption?
- What would change your mind?
Step 2: Market Sizing (TAM/SAM/SOM)
TAM (Total Addressable Market):
- Total revenue if you captured 100% of the market
- Top-down: Industry reports, government data, analyst estimates
- Bottom-up: Number of potential customers x average revenue per customer
SAM (Serviceable Addressable Market):
- The segment of TAM you can actually reach with your product/channel/geography
- Apply filters: location, company size, industry vertical, tech stack, budget
SOM (Serviceable Obtainable Market):
- Realistic share you can capture in 1-3 years
- Based on: competitive landscape, your current resources, growth rate
- Typically 1-5% of SAM for a new entrant
Present as a funnel:
TAM: $X billion (total market)
└─ SAM: $X million (your segment)
└─ SOM: $X million (your realistic capture)
Step 3: Customer Persona / ICP
Build an Ideal Customer Profile:
| Dimension | Details |
|---|---|
| Demographics | Age, location, income, job title |
| Company (B2B) | Size, industry, revenue, tech stack |
| Pain points | Top 3 problems they're trying to solve |
| Current solution | What they use today (including "nothing") |
| Buying triggers | What event makes them start looking |
| Objections | Why they'd say no |
| Where they hang out | Communities, platforms, publications |
| Budget | What they currently spend on this problem |
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 · 151 lines · 3 tokens per session scan A cf75fae2ae5b
market-research is a skill published in the GitHub repository mfwarren/entrepreneur-claude-skills (67 stars, last pushed 7mo ago), licensed MIT. It adds 3 tokens to every session and 1,018 once invoked, about $0.0000 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 2026-08-30.
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