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 hamzafarooq/claude-code-starter --skill market-sizinggit clone --depth 1 https://github.com/hamzafarooq/claude-code-starterWrote 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/hamzafarooq/claude-code-starter/market-sizing)<a href="https://agentmods.dev/skills/hamzafarooq/claude-code-starter/market-sizing"><img src="https://agentmods.dev/badge/skills/hamzafarooq/claude-code-starter/market-sizing/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/hamzafarooq/claude-code-starter/market-sizing"><img src="https://agentmods.dev/badge/skills/hamzafarooq/claude-code-starter/market-sizing.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 | $0.00287 |
| Opus 5.5 | $0.00015 | $0.00115 |
| Sonnet 5.5 | $0.00007 | $0.00057 |
| Haiku 4.5 | $0.00004 | $0.00029 |
Grade A, and why
market-sizing 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.
What it actually says
Ask the user: "Describe your product and target customer in one sentence."
Then produce a market sizing using a bottom-up approach:
Market Sizing: [Product Name]
TAM — Total Addressable Market
- Who is the broadest possible buyer of this type of solution?
- Estimate: [number] × [price point] = $[TAM]
- Source assumption: [how you derived the number]
SAM — Serviceable Addressable Market
- Which segment can you realistically reach with your go-to-market?
- Estimate: [number] × [price point] = $[SAM]
- Constraint: [what limits your reach — geography, language, vertical]
SOM — Serviceable Obtainable Market
- What share can you capture in 3 years given your team and resources?
- Estimate: [number] × [price point] = $[SOM]
- Assumption: [market share % and why]
Confidence: LOW / MEDIUM / HIGH State which assumptions are weakest and what data would sharpen them.
Be direct about uncertainty. Use ranges not false precision (e.g. "$2B–$5B" not "$3.4B").
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 · 31 lines · 37 tokens per session scan A 168847987124
market-sizing is a skill published in the GitHub repository hamzafarooq/claude-code-starter (145 stars, last pushed 7d ago), licensed MIT. It adds 37 tokens to every session and 287 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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