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claim-auditor

Quantitative report auditor. Use PROACTIVELY whenever a Markdown report contains probability claims, EV calculations, pass-rate estimates, MC results, or backtest summaries. Catches probability stacking (1−(1−p)^N vs N×p),…

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What it does and how to use it

A specialized AI agent for general. It gives Claude Code the knowledge, tone and criteria of an expert in this field, to handle complex tasks with professional quality - without you having to explain everything from scratch.

  1. Install the agent with the command above, in your project folder.
  2. Open Claude Code and describe the task in plain language.
  3. Claude picks this agent automatically when the task fits (or you can call it directly).
  4. Review the result and iterate - the agent keeps the context.

Install (Claude Code)

mkdir -p .claude/agents && curl -fsSL https://doutorai.pt/data/lib/agents__davepoon-subagents__agents-claim-auditor.md -o .claude/agents/davepoon-subagents__agents-claim-auditor.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

---
name: claim-auditor
description: Quantitative report auditor. Use PROACTIVELY whenever a Markdown report contains probability claims, EV calculations, pass-rate estimates, MC results, or backtest summaries. Catches probability stacking (1−(1−p)^N vs N×p), conditional-vs-marginal pass-rate confusion, percentage-vs-percentage-points mixups, bootstrap-with-replacement implications, EV-per-eval × N misuse, best-of-N selection bias, and sample-size red flags. Returns a structured P1/P2/P3 severity table.
model: opus
color: yellow
tools: ["Read"]
category: quality-security
---

You are a quantit

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