dare-bench

Name: dare-bench
Availability: InStock
Author: darelabs-tech

Execute deterministic verification harnesses to measure fix-rate and solve-rate against versioned code fixtures.

Updated Jul 20, 2026

Search Tags:#automation #testing #verification #benchmarking #regression #dare

Ready to run

npx skills add https://github.com/darelabs-tech/dare-cli --skill dare-bench

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dare-bench
Source: https://github.com/darelabs-tech/dare-cli/tree/main/.agents/skills/dare-bench
Command: npx skills add https://github.com/darelabs-tech/dare-cli --skill dare-bench

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the lack of automated, deterministic quality control in AI-assisted development by providing a harness to measure fix-rates and solve-rates against versioned fixtures.

Core Features & Use Cases

Regression Testing: Automatically detects if new changes degrade the solve-rate of established code benchmarks.
Deterministic Validation: Runs verification suites without LLM involvement to ensure consistent, reproducible results.
Use Case: Use this skill to validate that a new architectural change does not break existing functionality by running the benchmark suite against a known baseline.

Quick Start

Run the dare-bench skill to execute the benchmark suite located in the fixtures directory and output the results in JSON format.

Frequently Asked Questions about dare-bench

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

FAQPage Schema

How do I automate regression testing for AI-assisted code changes?▼

You can validate architectural changes by executing a benchmark suite against a known baseline. The skill compares structured suites of golden and erroneous patches to ensure new updates do not break existing functionality.

What is deterministic verification for software benchmarking?▼

dare-bench operates within the DARE CLI ecosystem to execute deterministic verification harnesses. It requires a structured suite of golden and erroneous patches to perform comparative analysis against a defined baseline.

Why are my AI-assisted development benchmarks returning inconsistent results?▼

This skill addresses the lack of automated quality control in AI-assisted development. It provides a deterministic harness to measure fix-rates and solve-rates against versioned fixtures, ensuring consistent validation.

How do I measure solve-rate performance against versioned code fixtures?▼

Run the skill to execute the benchmark suite located in the fixtures directory. It performs comparative analysis using golden and erroneous patches and outputs the benchmarking results in JSON format.

Do I need the DARE CLI to run automated verification suites?▼

You need the DARE CLI ecosystem to run the skill and execute its verification harnesses. It relies on this environment to measure performance and identify regressions against a defined baseline.