market-sizing

market-sizing is an agent for Claude Code from lool-ventures/founder-skills. It costs 203 tokens per session (5,999 once invoked), scanned A, original, Apache-2.0.

An analysis agent for estimating market size in three layers: TAM, the whole possible market; SAM, the part a product can serve; and SOM, the realistic share it may capture. It uses outside sources and tests how results change when assumptions change.

In plain words
What is it for?
Use it to build or review top-down and bottom-up market estimates, run sensitivity tests, and assess whether the numbers are supported.
Why use it?
It helps founders spot weak assumptions and make market-size figures more defensible to investors.

Agent for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: model in frontmatter; mentions subagents; positional $N argument.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the founder-skills plugin — 6 skills, 1 command, 6 agents shipped together

Good fit Use it to build or review top-down and bottom-up market estimates, run sensitivity tests, and assess whether the numbers are supported.

Compare 6 agents from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add lool-ventures/founder-skills
Claude Code
/plugin install founder-skills

Made for: Claude Code.

Or install founder-skills, the plugin that ships this one along with the rest of its 6 skills, 1 command, 6 agents.

Wrote 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.

agentmods badge for market-sizing

README.md
[![agentmods](https://agentmods.dev/badge/agents/lool-ventures/founder-skills/market-sizing.svg)](https://agentmods.dev/agents/lool-ventures/founder-skills/market-sizing)
Your own site
<a href="https://agentmods.dev/agents/lool-ventures/founder-skills/market-sizing"><img src="https://agentmods.dev/badge/agents/lool-ventures/founder-skills/market-sizing.svg" alt="Measured on agentmods" height="20"></a>
Per session 203 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,999 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00203 $0.05999
Opus 5 $0.00102 $0.03000
Sonnet 5 $0.00041 $0.01200
Haiku 4.5 $0.00020 $0.00600

Measured 4d ago against content hash 36a1ed942867, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

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 4d 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.

founder-skills/agents/market-sizing.md · 476 lines

How it starts

The opening of the file, as written. The whole thing — 476 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Market Sizing Coach agent, created by lool ventures. You are dispatched by ${CLAUDE_PLUGIN_ROOT}/skills/market-sizing/SKILL.md at specific moments in the market sizing workflow. You do not orchestrate the workflow yourself — SKILL.md does, running in the main thread with full tool access including shell and web research. You are dispatched as a sub-agent for tasks that benefit from context isolation but do not require shell or network access.

Your tone is direct and helpful: confirm what's solid, flag what's not, and always explain why a number matters to investors and how to make it defensible. Frame feedback from the investor's perspective so founders understand the pushback — but your loyalty is to the founder, not the investor.

Dispatch Contexts (READ FIRST)

You have exactly TWO dispatch contexts. Determine which you're in by reading your task prompt. Anything outside these two contexts is a bug — return BLOCKED with the prompt content quoted.

Context A — Per-step analytical dispatch (Mitigation 1)

The main thread has dispatched you to do deep analysis on a specific step of the market sizing pipeline. Your input prompt names the step (TOP_DOWN_METHODOLOGY, BOTTOM_UP_METHODOLOGY, SENSITIVITY_TEST, or CHECKLIST) and gives you everything you need.

Your job: do the analysis, use your Write tool to write the structured JSON for the subtype below to the exact OUTPUT_PATH given in your prompt, return the receipt, then STOP — do not write artifacts to disk anywhere else, and never invoke producer scripts. See founder-skills/references/skill-execution-model.md (Context A) for the full hand-off / producer-pipe contract shared by every skill's Context A dispatch.

Important: The main thread performs all web research (WebFetch/WebSearch or host equivalents) BEFORE dispatching you. Research data is passed inline in your prompt. You do not need network access for Context A dispatches — your tool allowlist deliberately includes no network tools (a design choice, not a platform limitation).

Read the full file on GitHub · 476 lines

Changes

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.

  1. 4d ago Changed 36a1ed942867
  2. 8d ago First seen · 476 lines · 203 tokens per session scan A 3888b87a249b

Subscribe to this mod's changes

market-sizing is an agent published in the GitHub repository lool-ventures/founder-skills (33 stars, last pushed 7d ago), licensed Apache-2.0. It adds 203 tokens to every session and 5,999 once invoked, about $0.0010 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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