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quant-code-review

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Expert quant-code review for numeric accuracy.

Data & Analytics#backtesting#code-review#reproducibility#quantitative-finance#numerical-correctness
AuthorRorySullivan1
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Review quantitative-finance Python code to identify defects that produce wrong numbers despite clean tests, focusing on numerical integrity, reproducibility, and proper conventions.

Core Features & Use Cases

  • Detect look-ahead bias, data leakage, precision loss, and unit/convention errors in pricing, risk, and backtesting code.
  • Validate reproducibility with seeded RNGs and pinned data, and provide explanations linking defects to numerical outcomes.
  • Provide a structured review that can be applied to reports, notebooks, and production-style quant pipelines.

Quick Start

Submit a reproducible quant-python snippet to receive a defect-focused, step-by-step review.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: quant-code-review
Download link: https://github.com/RorySullivan1/claudeBrain/archive/main.zip#quant-code-review

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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