baseline

Attach, import, reproduce, repair, verify, compare, or publish baselines and metrics.

1|Updated May 15, 2026
One-click install
npx skills add https://github.com/BoomberAsp/DeeperScientist --skill baseline-boomberasp
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: baseline
Source: https://github.com/BoomberAsp/DeeperScientist/tree/main/src/skills/baseline
Command: npx skills add https://github.com/BoomberAsp/DeeperScientist --skill baseline-boomberasp

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill ensures that a research quest has a reliable comparator by guiding the attachment, import, reproduction, repair, verification, comparison, or publication of a baseline and its metrics.

Core Features & Use Cases

  • Baseline Attachment and Import: Attach existing baselines or import them into the current quest.
  • Reproduction and Repair: Reproduce a baseline from source if necessary or repair existing baseline issues.
  • Verification: Mandatory verification of the run, service call, package import, or trusted-output inspection.
  • Comparison Contract: Ensure the core comparison contract is explicit and durably recorded.

Quick Start

Attach a baseline using the 'artifact.attach_baseline(' command and confirm the baseline with 'artifact.confirm_baseline('.

Frequently Asked Questions about baseline

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

FAQPage Schema
How do I establish a reliable baseline for research metric comparisons?

To establish a reliable baseline for research metric comparisons, you can attach existing baselines, import them into your current quest, or reproduce them from source, ensuring a trustworthy comparator is in place for downstream verifications.

What's the best way to verify a reproduced baseline before comparison?

The best way to verify a reproduced baseline is through mandatory verification of the run, service call, package import, or trusted-output inspection, ensuring the baseline and its metrics are durable and explicitly recorded for comparison.

Can I import and repair existing baselines using Python?

Yes, you can import and repair existing baselines using Python-based execution, handling specific artifact and metric contracts to guide the attachment, reproduction, or repair of baseline issues within your research quest.

How does a baseline comparison contract work in research verification?

A baseline comparison contract works by ensuring the core comparison criteria are explicit and durably recorded, requiring Python-based execution with specific artifact and metric contract handling to secure a trustworthy comparator for research verification.

Do I need specific artifact contracts to attach a baseline to my quest?

Yes, attaching a baseline to your quest requires specific artifact and metric contract handling, executed via Python, to ensure the imported or reproduced baseline is verified and durably recorded for downstream comparisons.