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budget-critic-agent

Evaluate budget strategy performance and detect overfitting from search results.

33|2|Updated May 13, 2026
Search Tags:#data analysis#strategy optimization#performance assessment#budget analysis#overfitting detection
One-click install
npx skills add https://github.com/adennng/stock_strategy_lab --skill budget-critic-agent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: budget-critic-agent
Source: https://github.com/adennng/stock_strategy_lab/tree/main/src/strategy_lab/skills/budget_critic_agent/single-policy-review
Command: npx skills add https://github.com/adennng/stock_strategy_lab --skill budget-critic-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides in-depth analysis of budget strategies to assess their performance, detect overfitting, and offer optimization suggestions.

Core Features & Use Cases

  • Performance Assessment: Evaluate the effectiveness and stability of budget strategies.
  • Overfitting Detection: Identify overfitting issues and provide insights.
  • Optimization Suggestions: Offer tailored advice to improve strategy performance.

Quick Start

Run the budget-critic-agent skill with the specified budget_run_state_path and search_id.

Frequently Asked Questions about budget-critic-agent

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect overfitting in my budget strategy parameters?▼

Budget strategy overfitting is detected by reviewing walk-forward simulations and stage attribution against your parameter space. This analysis identifies instability across attempts and provides strategic optimization recommendations to correct the issue.

What is the best way to evaluate budget strategy performance using search results?▼

Evaluating budget strategy performance requires analyzing search result data alongside attempt summaries and budget profiles. This process assesses the effectiveness and stability of your parameters to ensure they perform reliably across different conditions.

How do I assess walk-forward simulation results for budget optimization?▼

You assess walk-forward simulation results by providing a budget_run_state_path and search_id. This Skill reviews the simulation stability, detects parameter overfitting, and offers tailored advice to improve strategy performance.

Do I need specific input data formats to run a budget analysis?▼

Yes, budget analysis requires access to a budget profile, search result data, and attempt summary information. You must provide a specified budget_run_state_path and search_id to run the evaluation and receive optimization recommendations.

Why does my budget strategy fail to generalize across different parameter spaces?▼

Budget strategies fail to generalize across parameter spaces due to overfitting issues. By reviewing search results and walk-forward simulations, this analysis identifies these instabilities and provides targeted strategic optimization recommendations.

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