skills.rest
tokyo-megacorp
tokyo-megacorpOFFICIAL
Explore all skills by this author →
GitHub

history

Filter and review experiment logs by verdict, theme, and date.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes Read (resource) components.

What problem does it solve?

This Skill enables users to browse and filter detailed logs of autoimprove experiments, making it easier to analyze results and understand experiment progress.

Core Features & Use Cases

  • Filter experiments by verdict, theme, date, or recency to focus on relevant data.
  • Review past experiments to assess improvements, regressions, or failures across different themes.
  • Use Case: Quickly list all kept experiments from a specific theme or date range to evaluate the effectiveness of recent improvements.

Quick Start

Use the history skill to display recent experiments and filter by specific verdicts or themes to analyze your autoimprove project's progress.

Frequently Asked Questions about history

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

FAQPage Schema
How do I filter autoimprove experiment logs by verdict and date?▼

You can filter autoimprove experiment logs by applying user-specified filters for verdict, theme, and date to your tab-separated log data, allowing targeted analysis of specific experiment outcomes.

What is the best way to review past autoimprove experiments for regressions?▼

Reviewing past autoimprove experiments for regressions involves filtering your tab-separated logs by negative verdicts and specific themes to identify failed changes and track codebase improvement trends over time.

How do I list kept experiments from a specific autoimprove theme?▼

You list kept experiments from a specific autoimprove theme by applying a theme filter alongside a positive verdict filter to your tab-separated experiment logs, returning only the successful changes for that category.

What log format is required to analyze autoimprove experiment history?▼

Analyzing autoimprove experiment history requires reading tab-separated log files, which provide the detailed experiment verdicts, themes, and dates necessary for applying targeted user-specified filters.

Can I check recent autoimprove experiment progress without manual log searching?▼

Yes, you can check recent autoimprove experiment progress by using recency filters on your tab-separated logs, which automatically surfaces the latest experiment verdicts and themes without manual file searching.

Related Skills

Explore More Software Engineering Skills→
edwardmonteiroedwardmonteiro

optimization.quality_report

Generate recurring quality reports synthesizing defect trends, automation health, and recommendations.

Community
Basic
jamesrochabrunjamesrochabrun
194

qa-test-planner

Generate QA test plans, manual cases, regression suites, and bug reports.

Community
Advanced
rohanbhatia27rohanbhatia27
1

differential-review

Analyze code diffs and git history to detect security vulnerabilities and regressions.

Community
Advanced
swarm-ai-safetyswarm-ai-safety
39

run-query

Query run-index.yaml and vault claims for experiment metadata by tag, date, type, or claim.

Official
Intermediate