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 frank-luongt/faos-skills-marketplace --skill market-sizing-analysisgit clone --depth 1 https://github.com/frank-luongt/faos-skills-marketplaceWrote 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/frank-luongt/faos-skills-marketplace/market-sizing-analysis)<a href="https://agentmods.dev/skills/frank-luongt/faos-skills-marketplace/market-sizing-analysis"><img src="https://agentmods.dev/badge/skills/frank-luongt/faos-skills-marketplace/market-sizing-analysis/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/frank-luongt/faos-skills-marketplace/market-sizing-analysis"><img src="https://agentmods.dev/badge/skills/frank-luongt/faos-skills-marketplace/market-sizing-analysis.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 | $0.00000 | $0.02880 |
| Opus 5 | $0.00000 | $0.01440 |
| Sonnet 5 | $0.00000 | $0.00576 |
| Haiku 4.5 | $0.00000 | $0.00288 |
Grade A, and why
market-sizing-analysis 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.
This is a copy
88% identical to market-sizing-analysis — 15 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 — 424 lines — stays where its author put it; the contents beside it link to each section on GitHub.
name: market-sizing-analysis description: Calculate TAM, SAM, and SOM using top-down, bottom-up, and value-theory methodologies. Use when sizing a market opportunity, preparing investor materials, or validating product-market fit. tags: [market-sizing, tam-sam-som, strategy, investor-readiness]
Market Sizing Analysis
Comprehensive market sizing methodologies for calculating Total Addressable Market (TAM), Serviceable Available Market (SAM), and Serviceable Obtainable Market (SOM) for startup opportunities.
Use this skill when
- Working on market sizing analysis tasks or workflows
- Needing guidance, best practices, or checklists for market sizing analysis
Do not use this skill when
- The task is unrelated to market sizing analysis
- You need a different domain or tool outside this scope
Instructions
- Clarify goals, constraints, and required inputs.
- Apply relevant best practices and validate outcomes.
- Provide actionable steps and verification.
Overview
Market sizing provides the foundation for startup strategy, fundraising, and business planning. Calculate market opportunity using three complementary methodologies: top-down (industry reports), bottom-up (customer segment calculations), and value theory (willingness to pay).
Core Concepts
The Three-Tier Market Framework
TAM (Total Addressable Market)
- Total revenue opportunity if achieving 100% market share
- Defines the universe of potential customers
- Used for long-term vision and market validation
- Example: All email marketing software revenue globally
SAM (Serviceable Available Market)
- Portion of TAM targetable with current product/service
- Accounts for geographic, segment, or capability constraints
- Represents realistic addressable opportunity
- Example: AI-powered email marketing for e-commerce in North America
SOM (Serviceable Obtainable Market)
- Realistic market share achievable in 3-5 years
- Accounts for competition, resources, and market dynamics
- Used for financial projections and fundraising
- Example: 2-5% of SAM based on competitive landscape
What ships with it
2 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 · 424 lines · 0 tokens per session scan A 22022f998ad0
market-sizing-analysis is a skill published in the GitHub repository frank-luongt/faos-skills-marketplace (33 stars, last pushed 2mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,880 tokens. A static security scan graded it A with 0 findings. It is 88% identical to market-sizing-analysis, differing in 15 lines, and is treated as a copy.
Other skills, from other repositories
task-observer
Monitors task execution for skill improvement opportunities. Use during ANY multi-step task, agentic workflow, or work session where the agent uses tools and produces deliverables. Captures patterns, user corrections, workflow insights, and methodology worth preserving as reusable skills. Also triggers in post-task…
resume-tailor
Use when the user has a specific job posting and wants to customize their resume, CV, work document, and/or cover letter for that role. Also use when they say "I'm applying to..." or share a job link.
resume-builder
Use when the user wants to create or update a source work document in resume or CV format, or create a source cover letter from scratch. Triggers on US resumes ("build my resume") and UK/EU-style work CVs ("build my CV", "I need a CV for a UK role", "European CV"). US academic CVs are out of scope. For first-time…
claim-check
Use when the user wants a final truth pass before submitting a resume, CV, cover letter, LinkedIn section, or application package. Also use when they ask whether a draft contains unsupported, inflated, or hallucinated claims.
linkedin-optimizer
Use when the user wants to improve their LinkedIn profile, rewrite their headline, about, or experience sections, or audit individual profile fields.
proof-asset-creator
Use when the user wants to figure out what proof-of-value asset to build — case study, portfolio piece, personal site content, or any artifact that demonstrates their skills to employers. Ideation and scoping only; once an idea is chosen, the user continues in a fresh agent conversation to produce the asset. Triggers…