How do I install the Lmeterx LLM Loadtest skill?

Run npx skillmds@latest add migoxlab/lmeterx-llm-loadtest-2 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 Lmeterx LLM Loadtest safe to use?

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

Which AI agents work with Lmeterx LLM Loadtest?

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 Lmeterx LLM Loadtest free to use?

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

Who published Lmeterx LLM Loadtest?

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

Lmeterx LLM Loadtest by migoxlab — Agent Skill

Name: Lmeterx LLM Loadtest
Author: migoxlab

Lmeterx LLM Loadtest

LMeterX LLM API Load Test tool. When a user provides an **LLM API endpoint URL** (ending with `/v1/chat/completions` or `/v1/messages`) or a curl command targeting an LLM API, this skill executes a script to pre-check connectivity and create a load testing task. Supports OpenAI-compatible and Claude-compatible APIs.

migoxlab 71d7f3a 2 files · 24.6 KB Updated Sep 17, 2026

File contents

Skill: lmeterx-llm-loadtest

Intent Routing Rules (Highest Priority)

When to USE this Skill

URL ends with /v1/chat/completions (OpenAI-compatible)
URL ends with /v1/messages (Claude/Anthropic-compatible)
User mentions "LLM", "大模型", "模型接口", "OpenAI", "Claude", "chat completions"
curl command body contains "model" and "messages" fields

When NOT to use this Skill

Condition	Use Instead
URL is a webpage (e.g. `https://www.baidu.com`)	`lmeterx-web-loadtest`
URL is a regular API without LLM path patterns (e.g. `/api/users`, `/graphql`)	`lmeterx-http-loadtest`
User says "网站/网页/页面"	`lmeterx-web-loadtest`

Quick Decision Rule

URL ends with /v1/chat/completions or /v1/messages → THIS SKILL
URL is a normal webpage                            → lmeterx-web-loadtest
Everything else (REST API, GraphQL, etc.)          → lmeterx-http-loadtest

Execution Rules

Mandatory: You must and may only execute the provided script via Bash.
Prohibition: Do NOT manually construct HTTP requests using curl or requests to call LMeterX APIs.
Prohibition: Do NOT fabricate results. Execute the script and respond based on actual stdout output.

The Only Correct Way to Execute

With URL:

export LMETERX_AUTH_TOKEN="${LMETERX_AUTH_TOKEN:-<YOUR_AUTH_TOKEN>}"
python "${SKILL_DIR}/scripts/run.py" \
  --url "<LLM API URL>" \
  --header "Authorization: Bearer <api-key>"

With curl command:

export LMETERX_AUTH_TOKEN="${LMETERX_AUTH_TOKEN:-<YOUR_AUTH_TOKEN>}"
python "${SKILL_DIR}/scripts/run.py" \
  --curl '<full curl command>'

With custom load parameters:

export LMETERX_AUTH_TOKEN="${LMETERX_AUTH_TOKEN:-<YOUR_AUTH_TOKEN>}"
python "${SKILL_DIR}/scripts/run.py" \
  --url "<LLM API URL>" \
  --header "Authorization: Bearer <api-key>" \
  --body '{"model":"gpt-4","messages":[{"role":"user","content":"Hello"}]}' \
  --concurrent-users 50 \
  --duration 300 \
  --spawn-rate 30

Parameters

Parameter	Default	Description
`--url`	(required, or use --curl)	LLM API endpoint URL
`--curl`	(required, or use --url)	Full curl command string
`--header`	[]	Request header (repeatable, format: `Key: Value`)
`--body`	""	Request body JSON string
`--model`	(auto-extracted from body)	Model name
`--stream` / `--no-stream`	true	Enable/disable streaming
`--concurrent-users`	50	Concurrent users (1-5000)
`--duration`	300	Duration in seconds (1-172800)
`--spawn-rate`	30	User spawn rate
`--name`	(auto-generated)	Task name
`--test-data`	""	Dataset: `""` for none, `"default"` for built-in dataset

Presenting Results to the User

After execution, present:

API Type: OpenAI Chat or Claude Chat
Pre-check Result: Pass/Fail with categorized failure reason
Task ID and Report URL: {LMETERX_BASE_URL}/results/{task_id}

Exception Handling

Error Scenario	Output Message
HTTP 401/403	LMeterX token is invalid or expired; check `LMETERX_AUTH_TOKEN`
HTTP 5xx	LMeterX platform service error; try again later
Connection Failure	Cannot connect to LMeterX service; check network
Target API 401	Target LLM API requires auth; check Authorization header
Target API timeout	Target LLM API timed out; may be overloaded

---name: lmeterx-llm-loadtest-2description: LMeterX LLM API Load Test tool. When a user provides an **LLM API endpoint URL** (ending with `/v1/chat/completions` or `/v1/messages`) or a curl command targeting an LLM API, this skill executes a script to pre-check connectivity and create a load testing task. Supports OpenAI-compatible and Claude-compatible APIs.---# Skill: lmeterx-llm-loadtest## Intent Routing Rules (Highest Priority)### When to USE this Skill- URL ends with `/v1/chat/completions` (OpenAI-compatible)- URL ends with `/v1/messages` (Claude/Anthropic-compatible)- User mentions "LLM", "大模型", "模型接口", "OpenAI", "Claude", "chat completions"- curl command body contains `"model"` and `"messages"` fields### When NOT to use this Skill| Condition | Use Instead ||-----------|------------|| URL is a webpage (e.g. `https://www.baidu.com`) | `lmeterx-web-loadtest` || URL is a regular API without LLM path patterns (e.g. `/api/users`, `/graphql`) | `lmeterx-http-loadtest` || User says "网站/网页/页面" | `lmeterx-web-loadtest` |### Quick Decision Rule```URL ends with /v1/chat/completions or /v1/messages → THIS SKILLURL is a normal webpage → lmeterx-web-loadtestEverything else (REST API, GraphQL, etc.) → lmeterx-http-loadtest```## Execution Rules1. **Mandatory:** You **must and may only** execute the provided script via Bash.2. **Prohibition:** Do NOT manually construct HTTP requests using `curl` or `requests` to call LMeterX APIs.3. **Prohibition:** Do NOT fabricate results. Execute the script and respond based on actual stdout output.## The Only Correct Way to Execute### With URL:```bashexport LMETERX_AUTH_TOKEN="${LMETERX_AUTH_TOKEN:-<YOUR_AUTH_TOKEN>}"python "${SKILL_DIR}/scripts/run.py" \ --url "<LLM API URL>" \ --header "Authorization: Bearer <api-key>"```### With curl command:```bashexport LMETERX_AUTH_TOKEN="${LMETERX_AUTH_TOKEN:-<YOUR_AUTH_TOKEN>}"python "${SKILL_DIR}/scripts/run.py" \ --curl '<full curl command>'```### With custom load parameters:```bashexport LMETERX_AUTH_TOKEN="${LMETERX_AUTH_TOKEN:-<YOUR_AUTH_TOKEN>}"python "${SKILL_DIR}/scripts/run.py" \ --url "<LLM API URL>" \ --header "Authorization: Bearer <api-key>" \ --body '{"model":"gpt-4","messages":[{"role":"user","content":"Hello"}]}' \ --concurrent-users 50 \ --duration 300 \ --spawn-rate 30```## Parameters| Parameter | Default | Description ||-----------|---------|-------------|| `--url` | (required, or use --curl) | LLM API endpoint URL || `--curl` | (required, or use --url) | Full curl command string || `--header` | [] | Request header (repeatable, format: `Key: Value`) || `--body` | "" | Request body JSON string || `--model` | (auto-extracted from body) | Model name || `--stream` / `--no-stream` | true | Enable/disable streaming || `--concurrent-users` | 50 | Concurrent users (1-5000) || `--duration` | 300 | Duration in seconds (1-172800) || `--spawn-rate` | 30 | User spawn rate || `--name` | (auto-generated) | Task name || `--test-data` | "" | Dataset: `""` for none, `"default"` for built-in dataset |## Presenting Results to the UserAfter execution, present:1. **API Type:** OpenAI Chat or Claude Chat2. **Pre-check Result:** Pass/Fail with categorized failure reason3. **Task ID and Report URL:** `{LMETERX_BASE_URL}/results/{task_id}`## Exception Handling| Error Scenario | Output Message ||---------|---------|| HTTP 401/403 | LMeterX token is invalid or expired; check `LMETERX_AUTH_TOKEN` || HTTP 5xx | LMeterX platform service error; try again later || Connection Failure | Cannot connect to LMeterX service; check network || Target API 401 | Target LLM API requires auth; check Authorization header || Target API timeout | Target LLM API timed out; may be overloaded |

Frequently asked questions