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market-sizing

market-sizing is a skill for Claude Code from lool-ventures/founder-skills. It costs 50 tokens per session (22,735 once invoked), scanned A, original, Apache-2.0.

A market research tool for estimating a startup’s total market, reachable market, and realistic share using outside sources and different calculation methods.

In plain words
What is it for?
Use it to prepare investor-facing TAM/SAM/SOM analysis, check market assumptions, and create sizing data for financial-model and fundraising reviews.
Why use it?
It replaces unsupported guesses with documented estimates and tests how the result changes when key assumptions change.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions subagents; names the AskUserQuestion tool; 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

not rated 33repo +1 changed 6d ago A scan 50 tokens original Apache-2.0

Good fit Use it to prepare investor-facing TAM/SAM/SOM analysis, check market assumptions, and create sizing data for financial-model and fundraising reviews.

Compare 6 skills from other repositories ↓
View source ↗ lool-ventures/founder-skills founderskills.lool.vc
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/skills/lool-ventures/founder-skills/market-sizing/github.svg)](https://agentmods.dev/skills/lool-ventures/founder-skills/market-sizing)
Your own site
<a href="https://agentmods.dev/skills/lool-ventures/founder-skills/market-sizing"><img src="https://agentmods.dev/badge/skills/lool-ventures/founder-skills/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.

agentmods 80×15 button for market-sizing

Your own site · 80×15
<a href="https://agentmods.dev/skills/lool-ventures/founder-skills/market-sizing"><img src="https://agentmods.dev/badge/skills/lool-ventures/founder-skills/market-sizing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 22,735 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 $0.00050 $0.22735
Opus 5 $0.00025 $0.11367
Sonnet 5 $0.00010 $0.04547
Haiku 4.5 $0.00005 $0.02273

Measured 6d ago against content hash 15af9b360181, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, 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 6d ago.

The scan reads SKILL.md. This mod also ships 8 executable files (scripts/_dispatch_json.py, scripts/_theme.py, scripts/_thresholds.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/skills/market-sizing/SKILL.md · 1,286 lines

How it starts

The opening of the file, as written. The whole thing — 1,286 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Market Sizing Skill

Help startup founders build credible, defensible TAM/SAM/SOM analysis — the kind that earns investor trust rather than raising eyebrows. Produce a structured, validated market sizing with external sources, sensitivity testing, and a self-check against common pitfalls. The tone is founder-first: a rigorous but supportive coaching session.

Skill Metadata

  • Author: lool-ventures
  • Version: managed in founder-skills/.claude-plugin/plugin.json
  • Compatibility: Python 3.10+ and uv for script execution.
  • Exports:
    • sizing.json → financial-model-review, ic-sim, fundraise-readiness
    • sensitivity.json → financial-model-review

Skill Execution Model (READ FIRST)

See founder-skills/references/skill-execution-model.md for the full inline-skill execution model (3 dispatch contexts, Mitigation 1+2, producer contract, Cowork quirks, per-symptom triage).

This skill runs inline in the main thread, not as a sub-agent — see the reference above ("Why Inline (Not Forked Sub-Agent)") for the rationale. Sub-agents are deliberately shell-free, so orchestration (producer scripts, artifact persistence, web research) stays in the main thread.

Two dispatch contexts for the sub-agent:

  • Context A — Per-step analytical dispatch (Mitigation 1): Steps 5 and 6 dispatch the market-sizing agent via the Task tool. The key element here is parallel dispatch: Step 5 (methodology calculation) dispatches the agent twice simultaneously — one for TOP_DOWN_METHODOLOGY and one for BOTTOM_UP_METHODOLOGY — in a single assistant turn when the methodology is "both". The sub-agent does deep analysis, WRITES its output JSON to the OUTPUT_PATH given in its prompt (the handoff/ dir), and returns a small receipt. The main thread gates the file with check_handoff.py, then pipes it through the producer script (market_sizing.py --stdin). The sub-agent never writes canonical artifacts — only its hand-off file.
  • Context B — Post-compose coaching dispatch: The final step dispatches the sub-agent after compose_report.py --write-md has written report.md. The sub-agent Reads the staged coaching_payload.json from the hand-off dir (Mitigation 2) — it does NOT read the full report.md — composes the coaching commentary, WRITES it to the OUTPUT_PATH hand-off file, and returns a small receipt. The main thread gates the file (check_handoff.py) and inserts it via the shared insert_coaching.py script (idempotency matrix, uuid-marker replacement, run_id-parity verification — all deterministic). See the reference above for the full Context B contract.

Read the full file on GitHub · 1,286 lines

Files

What ships with it

11 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.

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. 6d ago Changed · +2 lines 15af9b360181
  2. 10d ago First seen · 1,284 lines · 50 tokens per session scan A 0d15abe13753

Subscribe to this mod's changes

market-sizing is a skill published in the GitHub repository lool-ventures/founder-skills (33 stars, last pushed 9d ago), licensed Apache-2.0. It adds 50 tokens to every session and 22,735 once invoked, about $0.0003 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.

Marketing and SEOResearchclaude-code-skillsclaude-cowork-pluginstartup-resourcesstartup-toolkitstartup-toolsventure-capital
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