Replication Feasibility Assessor Skill

SkillDev tools

Skill for assessing feasibility of study replication

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Replication Feasibility Assessor Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/scientific-discovery/skills/replication-feasibility-assessor/SKILL.md and read by ahel’s review.

Purpose

Assess the feasibility of replicating published studies by evaluating method clarity, resource requirements, and material availability.

Capabilities

Evaluate method clarity
Estimate resource needs
Check material availability
Assess expertise requirements
Identify barriers
Generate feasibility reports

Usage Guidelines

Review study methods
Assess clarity
Estimate resources
Check availability
Identify barriers
Generate report

Process Integration

Works within scientific discovery workflows for:

Replication planning
Study selection
Resource estimation
Feasibility analysis

Configuration

Assessment criteria
Resource databases
Barrier categories
Report templates

Output Artifacts

Feasibility assessments
Resource estimates
Barrier analyses
Replication plans

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: replication-feasibility-assessor
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter