zenigame-alpha-sieve

Analyze Alpha Sieve OOS results and generate validation reports.

Updated Apr 17, 2026
One-click install
npx skills add https://github.com/kent013/zenigame-fx --skill zenigame-alpha-sieve
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: zenigame-alpha-sieve
Source: https://github.com/kent013/zenigame-fx/tree/main/.claude/skills/_archived/zenigame-alpha-sieve
Command: npx skills add https://github.com/kent013/zenigame-fx --skill zenigame-alpha-sieve

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Alpha Sieve execution and analysis to validate OOS results and generate comparative reports for alpha sieves.

Core Features & Use Cases

  • Single-process preload evaluation to score all individuals in a run.
  • Centralized reporting to DB and Parquet with sieve_source traceability.
  • Supports run / analyze / compare workflows and warmstart integration.

Quick Start

指定したRunの Alpha Sieve 実行結果を分析し、レポートを生成してください。

Frequently Asked Questions about zenigame-alpha-sieve

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

FAQPage Schema
How do I analyze Alpha Sieve OOS validation results across multiple runs?▼

To analyze Alpha Sieve OOS validation results, you can use this Skill to evaluate multiple runs and regimes, generating per-run scoring, regime summaries, and comparative reports. It outputs results to a database and Parquet store with sieve_source traceability.

What is the best way to generate reports from Alpha Sieve out-of-sample data?▼

Generating reports from Alpha Sieve out-of-sample data is handled through centralized reporting to a database and Parquet format. The Skill provides run, analyze, and compare workflows to process OOS results and produce validation insights with full traceability.

Can I compare Alpha Sieve performance across different trading regimes?▼

Comparing Alpha Sieve performance across different regimes is supported through the compare workflow. The Skill analyzes OOS results across multiple runs and regimes, providing regime summaries and per-run scoring to validate alpha sieve performance variations.

Does the Alpha Sieve analysis workflow support warmstart integration?▼

Yes, the Alpha Sieve analysis workflow supports warmstart integration alongside run, analyze, and compare workflows. This allows you to preload and score all individuals in a run using a single-process evaluation before storing results in a database and Parquet store.

How do I store Alpha Sieve evaluation results for traceability?▼

Storing Alpha Sieve evaluation results for traceability is done through centralized output to a database and Parquet store. The Skill ensures sieve_source traceability is maintained across all per-run scoring and regime summaries generated during the analysis process.