How do I install the Preflight Hpc skill?

Run npx skillmds@latest add yusong-enceladus/preflight-hpc 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 Preflight Hpc 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 Preflight Hpc?

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 Preflight Hpc free to use?

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

Who published Preflight Hpc?

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

Preflight Hpc by yusong-enceladus — Agent Skill

Name: Preflight Hpc
Author: yusong-enceladus

File contents

Pre-flight HPC Validation

Validate compute environment on: $ARGUMENTS

Checks

1. Connectivity

ssh $SERVER "echo 'SSH OK'; hostname; nvidia-smi -L | head -2"

2. GPU Availability

ssh $SERVER "nvidia-smi --query-gpu=index,name,memory.used,memory.total --format=csv,noheader"

3. Network (proxy detection)

ssh $SERVER "env | grep -i proxy; curl -s --max-time 5 https://huggingface.co > /dev/null 2>&1 && echo 'HF reachable' || echo 'HF BLOCKED — set HF_HUB_OFFLINE=1'"

4. Conda Environment

ssh $SERVER "conda activate <your-conda-env> 2>/dev/null && python -c 'import torch; print(f\"PyTorch {torch.__version__}, CUDA: {torch.cuda.is_available()}\")'"

5. Rendering (for robotics)

ssh $SERVER "srun --gres=gpu:1 --time=5:00 --partition=<your-partition> bash -c '
export MUJOCO_GL=egl
python -c \"
import mujoco
m = mujoco.MjModel.from_xml_string(chr(60)+\"mujoco\"+chr(62)+chr(60)+\"worldbody\"+chr(62)+chr(60)+\"light/\"+chr(62)+chr(60)+\"geom type=\\\"plane\\\" size=\\\"1 1 .1\\\"/\"+chr(62)+chr(60)+\"/worldbody\"+chr(62)+chr(60)+\"/mujoco\"+chr(62))
d = mujoco.MjData(m)
r = mujoco.Renderer(m, 256, 256)
mujoco.mj_step(m, d)
r.update_scene(d)
img = r.render()
print(f\"EGL render OK: {img.shape}\")
\"
'"

6. Model Loading

ssh $SERVER "srun --gres=gpu:1 --time=5:00 --partition=<your-partition> bash -c '
export HF_HUB_OFFLINE=1
python -c \"import torch; ckpt=torch.load(\\\"CHECKPOINT_PATH\\\", map_location=\\\"cuda:0\\\"); print(f\\\"Checkpoint loaded: {type(ckpt)}\\\")\"
'"

Output

Write PREFLIGHT_REPORT.md:

| Check | Status | Details |
|-------|--------|---------|
| SSH | PASS/FAIL | [hostname] |
| GPU | PASS/FAIL | [GPU model, memory] |
| Network | PASS/FAIL | [proxy status, HF reachable?] |
| Conda | PASS/FAIL | [PyTorch version, CUDA] |
| Rendering | PASS/FAIL | [EGL status] |
| Model Load | PASS/FAIL | [checkpoint type] |

ALL checks must PASS before submitting experiment jobs.

---name: preflight-hpcdescription: Validate HPC environment before experiment deployment. Checks GPU, rendering, network, dependencies, and model loading. Use before submitting SLURM jobs.---# Pre-flight HPC ValidationValidate compute environment on: **$ARGUMENTS**## Checks### 1. Connectivity```bashssh $SERVER "echo 'SSH OK'; hostname; nvidia-smi -L | head -2"```### 2. GPU Availability```bashssh $SERVER "nvidia-smi --query-gpu=index,name,memory.used,memory.total --format=csv,noheader"```### 3. Network (proxy detection)```bashssh $SERVER "env | grep -i proxy; curl -s --max-time 5 https://huggingface.co > /dev/null 2>&1 && echo 'HF reachable' || echo 'HF BLOCKED — set HF_HUB_OFFLINE=1'"```### 4. Conda Environment```bashssh $SERVER "conda activate <your-conda-env> 2>/dev/null && python -c 'import torch; print(f\"PyTorch {torch.__version__}, CUDA: {torch.cuda.is_available()}\")'"```### 5. Rendering (for robotics)```bashssh $SERVER "srun --gres=gpu:1 --time=5:00 --partition=<your-partition> bash -c 'export MUJOCO_GL=eglpython -c \"import mujocom = mujoco.MjModel.from_xml_string(chr(60)+\"mujoco\"+chr(62)+chr(60)+\"worldbody\"+chr(62)+chr(60)+\"light/\"+chr(62)+chr(60)+\"geom type=\\\"plane\\\" size=\\\"1 1 .1\\\"/\"+chr(62)+chr(60)+\"/worldbody\"+chr(62)+chr(60)+\"/mujoco\"+chr(62))d = mujoco.MjData(m)r = mujoco.Renderer(m, 256, 256)mujoco.mj_step(m, d)r.update_scene(d)img = r.render()print(f\"EGL render OK: {img.shape}\")\"'"```### 6. Model Loading```bashssh $SERVER "srun --gres=gpu:1 --time=5:00 --partition=<your-partition> bash -c 'export HF_HUB_OFFLINE=1python -c \"import torch; ckpt=torch.load(\\\"CHECKPOINT_PATH\\\", map_location=\\\"cuda:0\\\"); print(f\\\"Checkpoint loaded: {type(ckpt)}\\\")\"'"```## OutputWrite `PREFLIGHT_REPORT.md`:```markdown| Check | Status | Details ||-------|--------|---------|| SSH | PASS/FAIL | [hostname] || GPU | PASS/FAIL | [GPU model, memory] || Network | PASS/FAIL | [proxy status, HF reachable?] || Conda | PASS/FAIL | [PyTorch version, CUDA] || Rendering | PASS/FAIL | [EGL status] || Model Load | PASS/FAIL | [checkpoint type] |```**ALL checks must PASS before submitting experiment jobs.**

Frequently asked questions

Preflight Hpc