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tokyo-megacorp
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report

Generate comprehensive AutoImprove experiment reports with verdicts, drift, and metric trends.

Updated Aug 27, 2026
Search Tags:#metrics#report#progress#experiment#session review#autoimprove
One-click install
npx skills add https://github.com/tokyo-megacorp/autoimprove --skill report-tokyo-megacorp
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: report
Source: https://github.com/tokyo-megacorp/autoimprove/tree/main/skills/report
Command: npx skills add https://github.com/tokyo-megacorp/autoimprove --skill report-tokyo-megacorp

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the review process of experiment results in AutoImprove, enabling fast, clear summaries of which changes were kept or discarded and the overall progress.

Core Features & Use Cases

  • Session Review: Generate detailed reports highlighting experiment verdicts, metrics drift, and session summaries.
  • Progress Tracking: Assess trust tier advancement, stagnation themes, and drift alerts to inform future strategies.
  • Use Case: When a user wants to understand the latest experiment activity across multiple sessions, this Skill produces a comprehensive human-readable report with metrics, findings, and suggestions.

Quick Start

Use the report skill to generate the latest experiment summary after completing a series of autoimprove runs.

Frequently Asked Questions about report

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

FAQPage Schema
How do I generate a summary of AutoImprove experiment outcomes?▼

To generate a summary of AutoImprove experiment outcomes, analyze experiment logs and baseline metrics to produce a comprehensive report. This report includes verdicts, drift alerts, trust levels, and detailed metric trends for project review and decision-making.

How does analyzing experiment logs track AutoImprove progress?▼

Analyzing experiment logs tracks AutoImprove progress by assessing trust tier advancement and identifying stagnation themes. This process highlights which changes were kept or discarded, providing a clear summary of overall session progress.

Does the AutoImprove report include metrics drift and trust level analysis?▼

Yes, the AutoImprove report includes metrics drift and trust level analysis. It assesses trust tier advancement and generates drift alerts to inform future strategies and project decision-making.

When do I need to review AutoImprove experiment logs?▼

You need to review AutoImprove experiment logs when you want to understand the latest experiment activity across multiple sessions. This produces a comprehensive human-readable report with metrics, findings, and suggestions for decision-making.

What is the best way to summarize which AutoImprove changes were kept or discarded?▼

The best way to summarize which AutoImprove changes were kept or discarded is to analyze experiment logs against baseline metrics. This generates a comprehensive report detailing experiment verdicts, drift, and stagnation themes.

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