jean

Name: jean Review
Item: jean
Rating: 3.6
Author: Aaron Matthews

Skill Setup & Config Solid

Works inClaude Code

Solid Scanned — metadata only

Standardizing development environments for AI agents reduces configuration drift and accelerates the deployment of reliable agentic workflows.

A dev environment for AI agents.

Generate a standardized development environment for testing AI agents
Automate the setup of local workspaces for autonomous agent workflows
Configure consistent infrastructure to run and evaluate AI agent experiments

1,367 starsApache-2.0 (commercial OK)FreeQuick setup

Why it matters

Standardizing development environments for AI agents reduces configuration drift and accelerates the deployment of reliable agentic workflows. It provides the necessary infrastructure to test agent behavior in controlled, reproducible settings.

Best for

Platform engineers and AI researchers building scalable, production-ready agentic systems.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/coollabsio/jean

By coollabsio

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.

Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.

Command

claude plugins install coollabsio/jean

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me generate a standardized development environment for testing AI agents

CostFree

Trust Signals Auto-scanned

Stars1,367Last updated2026-10-27LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-27 · scanner v1

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 1,367 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

4/5

Versatility

4/5

Reliability

3/5

Security

3/5

Overall score3.60 / 5.00 SolidEvaluatedOct 2026

Scored from trust signals (evidence-eval-v1): 1,367 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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