How do I install the Run Mindspeed LLM Test skill?

Run npx skillmds@latest add ascend/run-mindspeed-llm-test 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.

What does the Run Mindspeed LLM Test skill do?

运行MindSpeed-LLM项目的测试用例。当需要运行测试用例、扫描项目代码覆盖率时调用此技能 It is listed under AI & ML on SkillMD.

Is Run Mindspeed LLM Test 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 Run Mindspeed LLM Test?

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 Run Mindspeed LLM Test free to use?

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

Who published Run Mindspeed LLM Test?

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

Run Mindspeed LLM Test by ascend — Agent Skill

Name: Run Mindspeed LLM Test
Author: ascend

File contents

MindSpeed-LLM 测试执行器

执行MindSpeed-LLM项目的单元测试用例。

运行环境

运行mindspeed-llm测试用例时请严格按照以下运行环境的要求进行

Docker容器：q4_master
默认环境配置：'source /root/.bashrc'
默认工作目录：当前项目工作目录，记为WORK_DIR
NPU环境配置：'source /usr/local/Ascend/ascend-toolkit/set_env.sh && source /usr/local/Ascend/nnal/atb/set_env.sh'

输入

用户输入执行脚本（如run_coverage.sh脚本）或者指定测试用例目录

执行流程

1.进入docker容器

docker exec -it q4_master /bin/bash

2.执行默认环境配置

source /root/.bashrc

3.进入项目工作目录

cd ${WORK_DIR}

4.运行任务执行测试命令或脚本

# 执行全量代码覆盖率扫描任务
bash tests/run_coverage.sh all

# 执行pipeline所有用例
bash tests/pipeline/pipe_run.sh

# 执行ut测试用例
pytest -s tests/ut/inference/test_inference.py

5.分析运行结果

输出

输出测试报告或覆盖率报告，以markdown文件的形式至TEST目录下

示例

执行全量代码覆盖率扫描任务

docker exec -it q4_master bash -c "source /root/.bashrc && cd ${WORK_DIR} && bash tests/run_coverage.sh all"

运行pipeline所有用例

docker exec -it q4_master bash -c "source /root/.bashrc && cd ${WORK_DIR} && bash tests/pipeline/pipe_run.sh"

运行UT测试用例

# 运行一个ut测试用例文件中的所有用例
docker exec -it q4_master bash -c "source /root/.bashrc && cd ${WORK_DIR} && pytest -s tests/pipeline/ut/model_module/test_attention.py"

# 运行一个ut测试用例中的特定测试用例
docker exec -it q4_master bash -c "source /root/.bashrc && cd ${WORK_DIR} && pytest -s tests/pipeline/ut/model_module/test_attention.py::TestAttention::test_alibi_seq8192_bs2_bf16"

运行ST测试用例

docker exec -it q4_master bash -c "source /root/.bashrc && cd ${WORK_DIR} && bash tests/pipeline/st/llama2/llama2_tp8_pp1_coc_ptd.sh"

---name: run-mindspeed-llm-testdescription: 运行MindSpeed-LLM项目的测试用例。当需要运行测试用例、扫描项目代码覆盖率时调用此技能---# MindSpeed-LLM 测试执行器执行MindSpeed-LLM项目的单元测试用例。## 运行环境运行mindspeed-llm测试用例时请严格按照以下运行环境的要求进行- **Docker容器**：`q4_master`- **默认环境配置**：'source /root/.bashrc'- **默认工作目录**：当前项目工作目录，记为`WORK_DIR`- **NPU环境配置**：'source /usr/local/Ascend/ascend-toolkit/set\_env.sh && source /usr/local/Ascend/nnal/atb/set\_env.sh'## 输入用户输入执行脚本（如run\_coverage.sh脚本）或者指定测试用例目录## 执行流程1.进入docker容器```docker exec -it q4_master /bin/bash```2.执行默认环境配置```source /root/.bashrc```3.进入项目工作目录```cd ${WORK_DIR}```4.运行任务执行测试命令或脚本```# 执行全量代码覆盖率扫描任务bash tests/run_coverage.sh all# 执行pipeline所有用例bash tests/pipeline/pipe_run.sh# 执行ut测试用例pytest -s tests/ut/inference/test_inference.py```5.分析运行结果## 输出输出测试报告或覆盖率报告，以markdown文件的形式至`TEST`目录下## 示例### 执行全量代码覆盖率扫描任务```bashdocker exec -it q4_master bash -c "source /root/.bashrc && cd ${WORK_DIR} && bash tests/run_coverage.sh all"```### 运行pipeline所有用例```bashdocker exec -it q4_master bash -c "source /root/.bashrc && cd ${WORK_DIR} && bash tests/pipeline/pipe_run.sh"```### 运行UT测试用例```bash# 运行一个ut测试用例文件中的所有用例docker exec -it q4_master bash -c "source /root/.bashrc && cd ${WORK_DIR} && pytest -s tests/pipeline/ut/model_module/test_attention.py"# 运行一个ut测试用例中的特定测试用例docker exec -it q4_master bash -c "source /root/.bashrc && cd ${WORK_DIR} && pytest -s tests/pipeline/ut/model_module/test_attention.py::TestAttention::test_alibi_seq8192_bs2_bf16"```### 运行ST测试用例```bashdocker exec -it q4_master bash -c "source /root/.bashrc && cd ${WORK_DIR} && bash tests/pipeline/st/llama2/llama2_tp8_pp1_coc_ptd.sh"```

Frequently asked questions

Run Mindspeed LLM Test