compare-attempts

Compare brazil-bench evaluation reports and generate a ranked Markdown leaderboard.

11|Updated Nov 24, 2025
One-click install
npx skills add https://github.com/brazil-bench/pourpoise --skill compare-attempts
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: compare-attempts
Source: https://github.com/brazil-bench/pourpoise/tree/main/skills/compare-attempts
Command: npx skills add https://github.com/brazil-bench/pourpoise --skill compare-attempts

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill consolidates evaluation reports from brazil-bench attempts to produce a ranked leaderboard and a detailed comparison summary, enabling rapid assessment of performance across attempts.

Core Features & Use Cases

  • Leaderboard generation: Build a scoring-based ranking from canonical evaluation data.
  • Detailed comparison: Produce per-attempt metrics, trend insights, and patterns across attempts.
  • Automated validation: Enforces canonical 16-requirement denominators and normalization where needed.

Quick Start

Run the comparison workflow after generating evaluation reports. Example: set results_dir to the folder containing markdown reports, then execute the comparison to output a Markdown leaderboard to the specified output_file.

Frequently Asked Questions about compare-attempts

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

FAQPage Schema
How do I generate a ranked leaderboard from benchmark evaluation reports?

Benchmarking multiple evaluation reports involves analyzing markdown files compiled by the Evaluate Attempt SOP. The tool consolidates these reports, normalizes data against a canonical 16-requirement denominator, and outputs a detailed comparison summary with per-attempt trend insights and patterns.

What metrics are used to calculate composite scores for benchmarking attempts?

Composite scores for benchmarking attempts are calculated using four key metrics: spec compliance, effective test coverage, code quality, and efficiency. The tool extracts these metrics from evaluation reports to rank attempts accurately on the leaderboard.

Can I compare evaluation reports across multiple attempts without manual data consolidation?

Yes, you can compare evaluation reports across multiple attempts without manual data consolidation. The tool automatically enforces canonical 16-requirement denominators, extracts relevant metrics, and consolidates results into a unified Markdown leaderboard and detailed analytics summary.

How do I set up the results directory for benchmarking evaluation reports?

To set up the results directory for benchmarking evaluation reports, set the results_dir parameter to the folder containing your markdown reports. Execute the comparison workflow to output the generated Markdown leaderboard to your specified output_file.

What is the canonical 16-requirement denominator in benchmark evaluation comparison?

The canonical 16-requirement denominator is a standardized validation baseline used in benchmark evaluation comparison. The tool enforces this denominator during automated validation to normalize spec compliance and metrics extraction across all compared attempts.