benchmark-reviewer

Review benchmark implementations against a strict readiness checklist and produce stage-scoped YAML.

2|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/MRiabov/Problemologist-AI --skill benchmark-reviewer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: benchmark-reviewer
Source: https://github.com/MRiabov/Problemologist-AI/tree/main/.agents/skills/benchmark-reviewer
Command: npx skills add https://github.com/MRiabov/Problemologist-AI --skill benchmark-reviewer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Benchmark-ready evaluation is enabled by a read-only, evidence-based review process that ensures benchmark implementations are ready for handoff to the engineer graph, grounded in the latest revision and associated artifacts.

Core Features & Use Cases

  • Read-only verification against the latest benchmark artifacts, including scripts, definitions, results, and renders, to ensure geometry validity, solvability, and manufacturing constraints.
  • Evidence-backed decision making with a reproducible review checklist, enabling consistent handoffs and traceable decisions.

Quick Start

Review the latest benchmark revision using the checklist and artifacts, then produce the stage-scoped review YAML under reviews/.

Frequently Asked Questions about benchmark-reviewer

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

FAQPage Schema
How do I validate a benchmark implementation for engineer handoff?

To validate a benchmark implementation for handoff, perform an evidence-based, read-only review of benchmark scripts, definitions, results, and renders to ensure geometry validity, solvability, and manufacturing constraints. This produces stage-scoped review YAML pairs under the reviews directory.

What does an evidence-based benchmark review checklist include?

An evidence-based benchmark review checklist includes geometry validity, solvability, runtime randomization, and exact inventory grounding. It verifies readiness by reviewing benchmark_script.py, benchmark_definition.yaml, validation_results.json, simulation_result.json, scene.json, and related evidence against approved contracts.

Can I review benchmark artifacts without modifying the original files?

Yes, you can review benchmark artifacts without modifying original files because the review process is strictly read-only. It examines benchmark scripts, definitions, validation and simulation results, and renders to produce review YAML outputs without altering the source artifacts.

How do I ensure benchmark definitions are grounded in the latest revision?

To ensure benchmark definitions are grounded in the latest revision, review benchmark_definition.yaml and benchmark_assembly_definition.yaml against the latest revision and approved contracts. This enforces exact inventory grounding and validates manufacturing constraints for consistent handoffs.

What's the best way to verify benchmark solvability and geometry validity?

The best way to verify benchmark solvability and geometry validity is through a reproducible review checklist applied to benchmark_script.py, scene.json, renders, and simulation_result.json. This evidence-backed approach ensures traceable decisions and consistent engineer graph handoffs.

Why does benchmark validation fail during the review process?

Benchmark validation can fail during the review process when geometry validity, solvability, runtime randomization, or inventory grounding checks do not align with the latest revision and approved contracts. The strict checklist flags these issues before handoff to prevent downstream errors.