How do I install the Blazemeter Scripting skill?

Run npx skillmds@latest add blazemeter/blazemeter-scripting in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Blazemeter Scripting safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Blazemeter Scripting?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Blazemeter Scripting free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Blazemeter Scripting?

Blazemeter (@blazemeter) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Blazemeter Scripting by blazemeter — Agent Skill

Name: Blazemeter Scripting
Rating: 4.2 (5 reviews)
Author: Blazemeter

Blazemeter Scripting

Comprehensive guide for BlazeMeter Scripting, including Groovy/Beanshell, JMeter plugins, JMeter DSL, and API Monitoring scripting. Use when working with scripting for (1) Writing files in Groovy/Beanshell scripts, (2) Using non-standard JMeter plugins, (3) Creating JMeter tests with JMeter DSL, (4) Writing custom scripts for API Monitoring (custom libraries, included libraries, initial script, reusable snippets), or any other scripting tasks.

Blazemeter Updated Sep 10, 2026

File contents

BlazeMeter Scripting

Comprehensive guide for scripting in BlazeMeter tests.

Overview

Scripting in BlazeMeter supports Groovy/Beanshell for Performance tests, JMeter DSL for code-based test creation, and JavaScript for API Monitoring. This skill covers all scripting capabilities.

Quick Start

Groovy/Beanshell: Write files and custom logic in Performance tests
JMeter Plugins: Use non-standard JMeter plugins
JMeter DSL: Create JMeter tests as code
API Monitoring Scripting: Write custom JavaScript for API Monitoring

MCP Tools Integration

While scripting is primarily done through test configuration and code, you can use BlazeMeter MCP tools to manage tests that use custom scripts:

Available MCP Tools

Test Management:
- blazemeter_tests with action read - Read test details including script configuration
- blazemeter_tests with action list - List all tests in a project
- Required args: test_id (integer) or project_id (integer)
- Returns: Test details including script files and configuration
Test Execution:
- blazemeter_execution with action read - Read execution details for scripted tests
- blazemeter_execution with action list - List all executions for a test
- Required args: execution_id (integer) or test_id (integer)
- Returns: Execution details and results

When to Use MCP Tools

Test Management: Manage tests with custom scripts programmatically
Script Validation: Verify test scripts are configured correctly
Execution Monitoring: Monitor execution of scripted tests
Automation: Integrate scripted tests into automation workflows

Example Workflow

Managing Scripted Tests:

Use blazemeter_tests with action list to find tests with custom scripts
Use blazemeter_tests with action read to get test details and script configuration
Use blazemeter_execution with action read to monitor test execution
Review execution results for script-related issues

Reference Files

Groovy/Beanshell

groovy-beanshell.md: File Writing

JMeter Plugins

jmeter-plugins.md: Random CSV Data Set Config Plugin

JMeter DSL

jmeter-dsl.md: JMeter DSL

API Monitoring Scripting

api-monitoring-scripting.md: Custom Libraries, Included Libraries, Initial Script, Script Engine Overview, Reusable Snippets

When to Use Each Reference

Groovy/Beanshell: When writing files or custom logic in Performance tests
JMeter Plugins: When using non-standard JMeter plugins
JMeter DSL: When creating JMeter tests as code in Java
API Monitoring Scripting: When writing custom JavaScript for API Monitoring tests

---name: blazemeter-scriptingdescription: Comprehensive guide for BlazeMeter Scripting, including Groovy/Beanshell, JMeter plugins, JMeter DSL, and API Monitoring scripting. Use when working with scripting for (1) Writing files in Groovy/Beanshell scripts, (2) Using non-standard JMeter plugins, (3) Creating JMeter tests with JMeter DSL, (4) Writing custom scripts for API Monitoring (custom libraries, included libraries, initial script, reusable snippets), or any other scripting tasks.---# BlazeMeter ScriptingComprehensive guide for scripting in BlazeMeter tests.## OverviewScripting in BlazeMeter supports Groovy/Beanshell for Performance tests, JMeter DSL for code-based test creation, and JavaScript for API Monitoring. This skill covers all scripting capabilities.## Quick Start1. **Groovy/Beanshell**: Write files and custom logic in Performance tests2. **JMeter Plugins**: Use non-standard JMeter plugins3. **JMeter DSL**: Create JMeter tests as code4. **API Monitoring Scripting**: Write custom JavaScript for API Monitoring## MCP Tools IntegrationWhile scripting is primarily done through test configuration and code, you can use BlazeMeter MCP tools to manage tests that use custom scripts:### Available MCP Tools- **Test Management**: - `blazemeter_tests` with action `read` - Read test details including script configuration - `blazemeter_tests` with action `list` - List all tests in a project - Required args: `test_id` (integer) or `project_id` (integer) - Returns: Test details including script files and configuration- **Test Execution**: - `blazemeter_execution` with action `read` - Read execution details for scripted tests - `blazemeter_execution` with action `list` - List all executions for a test - Required args: `execution_id` (integer) or `test_id` (integer) - Returns: Execution details and results### When to Use MCP Tools- **Test Management**: Manage tests with custom scripts programmatically- **Script Validation**: Verify test scripts are configured correctly- **Execution Monitoring**: Monitor execution of scripted tests- **Automation**: Integrate scripted tests into automation workflows### Example Workflow**Managing Scripted Tests**:1. Use `blazemeter_tests` with action `list` to find tests with custom scripts2. Use `blazemeter_tests` with action `read` to get test details and script configuration3. Use `blazemeter_execution` with action `read` to monitor test execution4. Review execution results for script-related issues## Reference Files### Groovy/Beanshell- **[groovy-beanshell.md](skill-blazemeter-scripting://references/groovy-beanshell.md)**: File Writing### JMeter Plugins- **[jmeter-plugins.md](skill-blazemeter-scripting://references/jmeter-plugins.md)**: Random CSV Data Set Config Plugin### JMeter DSL- **[jmeter-dsl.md](skill-blazemeter-scripting://references/jmeter-dsl.md)**: JMeter DSL### API Monitoring Scripting- **[api-monitoring-scripting.md](skill-blazemeter-scripting://references/api-monitoring-scripting.md)**: Custom Libraries, Included Libraries, Initial Script, Script Engine Overview, Reusable Snippets## When to Use Each Reference- **Groovy/Beanshell**: When writing files or custom logic in Performance tests- **JMeter Plugins**: When using non-standard JMeter plugins- **JMeter DSL**: When creating JMeter tests as code in Java- **API Monitoring Scripting**: When writing custom JavaScript for API Monitoring tests

Frequently asked questions