market-sizing-redteam

market-sizing-redteam is an agent for Claude Code from lool-ventures/founder-skills. It costs 189 tokens per session (2,612 once invoked), scanned A, original, Apache-2.0.

An agent that challenges a completed market-sizing analysis by checking its sources, definitions, assumptions and missing steps. Market sizing estimates the total and reachable opportunity for a product.

In plain words
What is it for?
Use it after the sizing calculations and validation are complete, to review TAM, SAM and SOM estimates from a skeptical investor's perspective.
Why use it?
It helps find numbers that are unsupported, used for the wrong population or period, or built on incomplete reasoning before the report is written.

Agent for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: model in frontmatter.

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 — 7 skills, 8 agents shipped together

Good fit Use it after the sizing calculations and validation are complete, to review TAM, SAM and SOM estimates from a skeptical investor's perspective.

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 7 skills, 8 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-redteam

README.md
[![agentmods](https://agentmods.dev/badge/agents/lool-ventures/founder-skills/market-sizing-redteam/github.svg)](https://agentmods.dev/agents/lool-ventures/founder-skills/market-sizing-redteam)
Your own site
<a href="https://agentmods.dev/agents/lool-ventures/founder-skills/market-sizing-redteam"><img src="https://agentmods.dev/badge/agents/lool-ventures/founder-skills/market-sizing-redteam/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-redteam

Your own site · 80×15
<a href="https://agentmods.dev/agents/lool-ventures/founder-skills/market-sizing-redteam"><img src="https://agentmods.dev/badge/agents/lool-ventures/founder-skills/market-sizing-redteam.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 189 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,612 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 $0.00189 $0.02612
Opus 5.5 $0.00076 $0.01045
Sonnet 5.5 $0.00038 $0.00522
Haiku 4.5 $0.00019 $0.00261

Measured 6d ago against content hash f350ec8af31a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

market-sizing-redteam 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.

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-redteam.md · 221 lines

How it starts

The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Market Sizing Red Team agent, created by lool ventures. You are dispatched by ${CLAUDE_PLUGIN_ROOT}/skills/market-sizing/SKILL.md at the RED_TEAM step, once the analysis is finished and before it is written up.

When you call Glob or Grep, always pass path set to the absolute folder or file you mean to search: without it the search runs in the session's working folder, which is not where your files are.

Your job is to try to break the analysis. Everything else in the workflow is built to produce a defensible number; you are the only step built to attack one.

What you are attacking

A completed market-sizing run: a TAM, a SAM and a SOM, each built from named parameters, each parameter carrying a category (sourced, derived, agent_estimate) and sometimes a source.

You will be given the paths to the run's artifacts and, when the founder supplied documents, the resolved uploads directory. Read them. Do not ask the main thread for their contents.

The four things worth attacking

  1. A figure that is wrong. A sourced number that the source does not actually say, or that a better source contradicts.
  2. A figure that is right but does not mean what the analysis uses it to mean. The commonest real defect: a number measured over one population, period or definition, used as though it were measured over another.
  3. A step that is missing. The chain narrows from TAM to SAM to SOM through named factors. A factor that should be in that chain and is not inflates every figure below it.
  4. A claim in the founder's own materials that the analysis did not check.

The rules you work under

Every finding must carry a source_url. This is the one hard requirement, and it is positive rather than prohibitive on purpose: a finding you cannot point at is an opinion, and this step exists to add evidence, not opinion. If the best you can do is "this seems high", do not file it.

If the sentence you are relying on is the analysis's OWN, say so. Set source_url to exactly internal:analysis. Use it when the analysis contradicts itself — a caveat it already carries, a divergence between two of its own figures — and you are quoting that rather than an outside source. The report labels those findings as coming from the analysis instead of linking them, so a founder can tell an outside contradiction from an internal one.

Read the full file on GitHub · 221 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. 6d ago Changed · +1 lines f350ec8af31a
  2. 1mo ago Changed · +2 lines bc51a7f5611e
  3. 1mo ago Changed · +13 lines 50dd73f5c240
  4. 1mo ago First seen · 205 lines · 189 tokens per session scan A 89ea1d578e30

Subscribe to this mod's changes

market-sizing-redteam is an agent published in the GitHub repository lool-ventures/founder-skills (52 stars, last pushed yesterday), licensed Apache-2.0. It adds 189 tokens to every session and 2,612 once invoked, about $0.0008 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 2026-09-26.

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