open-xquant

What problem does it solve?

This Skill solves the problem of AI agents or users executing incorrect open-xquant commands, skipping required validation and audit steps, or misrouting quant research tasks to non-specialized workflows, which leads to invalid backtests, unreproducible results, or failed research pipelines.

Core Features & Use Cases

• Mandatory Entry Routing: Serves as the required first point of contact for all open-xquant tasks, automatically directing requests to the correct specialized leaf skill (e.g., strategy building, backtesting, report writing, factor evaluation) to ensure proper workflow adherence.
• Pre-Workflow Guardrails: Enforces minimum runner and workspace setup rules before any specialized skill runs, preventing configuration errors that break the framework's deterministic execution guarantees.
• Real-World Use Case: If a user asks to "backtest my new momentum strategy", this Skill routes the request to the build-strategy-spec, audit-strategy-spec, and run-authorized-backtest skills in the correct order, instead of allowing the agent to run backtest commands directly without prior validation.

Quick Start

Use the open-xquant skill to run a full validated backtest for your new quantitative trading strategy.