write-research-report

What problem does it solve?

This skill eliminates the disjointed, error-prone process of manually synthesizing raw quantitative experiment outputs (metrics, audit findings, robustness results, chart assets) into coherent, decision-ready reports for quantitative strategy research, ensuring consistency and compliance with institutional reporting standards.

Core Features & Use Cases

• Mandatory Reporting Enforcement: Automatically triggers for all final open-xquant experiment reports to prevent bypassing standardized reporting workflows.
• Strict Guardrails & Red Lines: Implements language parameter gating, chart decision checks, and evidence fidelity rules to block fabricated claims, biased disclosures, or non-compliant report content.
• Institutional-Grade Output: Produces layered reports with executive snapshots, evidence chains, risk disclosures, and appendices suitable for both researcher audit and investor review.
• Use Case: After completing a quant strategy backtest with all validation, audit, and robustness checks passed, use this skill to generate a professional report that clearly states the investment decision, supporting evidence, and next steps for capital allocation.

Quick Start

Use the write-research-report skill to generate the final auditable research report for the completed open-xquant experiment run stored in the runs/<run_id> directory.