Standardize a reference object for quest evaluation with plan and checklist requirements.
npx skills add https://github.com/ResearAI/DeepScientist --skill baseline-researai
Please help me install this Agent Skill. Skill: baseline Source: https://github.com/ResearAI/DeepScientist/tree/main/src/skills/baseline Command: npx skills add https://github.com/ResearAI/DeepScientist --skill baseline-researai
Baseline establishes a trusted reference point for quest evaluation, enabling consistent comparisons and auditable results across runs.
Prepare PLAN.md and CHECKLIST.md, then attach or reproduce a baseline and run an initial smoke test.
High-intent search queries and answers about installing and using this skill.
A trusted baseline for experiment evaluation requires standardizing a reference object with explicit environment and metric contracts, ensuring reproducibility through enforced plan and checklist existence before any results are accepted.
Reproducing a baseline from papers and code requires standardizing a reference object, enforcing environment and metric contracts, and completing explicit verification steps before the reproduced results can be accepted.
Yes, verifying a broken baseline requires PLAN.md and CHECKLIST.md to enforce plan existence and guide the repair workflow, ensuring clear verification before the revalidated reference object is accepted.
Yes, importing a reusable baseline package bootstraps analysis without re-running reproduction, attaching validated results and contracts to establish a trusted reference point for immediate evaluation.
Repairing a broken baseline involves fixing the stale reference object and revalidating it against the comparability contract, enforcing explicit environment and metric contracts with clear verification before acceptance.
Use a baseline repair workflow when the reference object is broken or stale, whereas attaching an existing baseline reuses already validated results and contracts without needing to re-run reproduction or verification.
Rycen7822Establish canonical baselines for quests across analysis, setup, execution and verification stages.
StreamPilotOrgScore growth experiments using the ICE framework and update experiment JSON.
louzhengshuaiEstablish a baseline comparator and metrics for quests.
antondelafuenteDesign GPU experiments with purpose, metrics, comparability, and data collection specifications.
