Can it identify technical blockers like CAPTCHA?

Yes, it specifically checks for constraints such as 2FA, CAPTCHA, SSO, and iframe limitations, providing alternative suggestions like mocks or stubs.

What is the primary purpose of the Automation Assessor skill?

It is designed to review manual test cases and determine if they are suitable for automation based on technical complexity, UI stability, and required effort.

What kind of report does this skill generate?

It produces a detailed JSON report containing a summary of automatable vs. manual tests, impact analysis on existing files, and a final recommendation for the team lead.

How does it calculate implementation effort?

It categorizes test cases into simple, medium, and complex tiers, assigning hourly estimates (e.g., 0.5h to 2h+) based on steps, branching logic, and external dependencies.

Does it integrate with communication tools?

Yes, after completing an assessment, it can send a Slack notification to the team leader to request a review of the findings.

Automation Assessor

Name: Automation Assessor
Author: MediSolveAIDev

byMediSolveAIDev

0•

Security & Testing

Evaluates manual test cases for automation feasibility, technical constraints, and implementation effort to support QA decision-making.

The Automation Assessor skill serves as a specialized QA consultant that bridges the gap between manual testing and automation development. It analyzes test case definitions against existing codebases to provide a data-driven report on automation suitability. By evaluating UI dependencies, data stability, and technical hurdles like SSO or dynamic components, it generates precise effort estimates and risk assessments. This tool is essential for QA leads and developers who need to prioritize automation tasks and identify potential 'flaky' tests before writing a single line of code.

Key Features

01Standardized JSON reporting with Slack notification integration

02Feasibility scoring based on UI complexity and data dependencies

03Impact analysis on existing test fixtures and conftest files

040 GitHub stars

05Technical constraint identification for SSO, CAPTCHA, and WebSockets

06Automated Level of Effort (LOE) estimation for implementation

Use Cases

01Refining QA strategies for complex legacy systems

02Pre-automation feasibility studies for new feature releases

03Estimating resource allocation and timelines for automation sprints

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add medisolveaidev/qa-medi-plugin assess-automation

For use in Claude.ai and ChatGPT

Key Features

01Standardized JSON reporting with Slack notification integration

02Feasibility scoring based on UI complexity and data dependencies

03Impact analysis on existing test fixtures and conftest files

040 GitHub stars

05Technical constraint identification for SSO, CAPTCHA, and WebSockets

06Automated Level of Effort (LOE) estimation for implementation

Use Cases

01Refining QA strategies for complex legacy systems

02Pre-automation feasibility studies for new feature releases

03Estimating resource allocation and timelines for automation sprints

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add medisolveaidev/qa-medi-plugin assess-automation

For use in Claude.ai and ChatGPT