Infatoshi/voltage-park
skills/voltage-park/SKILL.md
Provision and manage Voltage Park H100 GPU instances. Use when the user needs to spin up H100s, SSH into VP instances, transfer files, or terminate cloud GPU instances.
$ install --global
skillsauthnpx skillsauth add Infatoshi/CLAUDE.md voltage-parkInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 24, 2026, 2:56 AM9.4s1 file scanned
SKILL.md
- name:
- voltage-park
- description:
- Provision and manage Voltage Park H100 GPU instances. Use when the user needs to spin up H100s, SSH into VP instances, transfer files, or terminate cloud GPU instances.
Voltage Park H100 Management
Permissions
- NEVER provision without explicit permission
- ASK before spinning up H100s when blocked on GPU tasks
- Do NOT auto-terminate - user may run multi-hour experiments
API
Token: $VP_API_TOKEN in ~/.env_vars
Base: https://cloud-api.voltagepark.com/api/v1
| Endpoint | Method | Path | |----------|--------|------| | Availability | GET | /virtual-machines/instant/locations | | Provision | POST | /virtual-machines/instant | | List | GET | /virtual-machines/ | | Terminate | DELETE | /virtual-machines/{id} | | Power | PUT | /virtual-machines/{id}/power-status | | Ports | POST | /virtual-machines/{id}/port-forward |
Provision body: {"config_id":"X","location_id":"X","organization_ssh_keys":{"mode":"selective","ssh_key_ids":["X"]},"name":"X"}
Defaults
- SSH user:
user - Location:
a3111bd4-550a-47d0-838a-0a52bff2ae3f - OS: TensorML 24 Everything
- CUDA:
/usr/local/cuda-12.6/bin
SSH Keys (auto-select by hostname)
| Host | ID |
|------|-----|
| macbook-pro | 4419ce92-a31a-40a2-b1da-73de608252ad |
| theodolos | fb384362-d726-4498-b9aa-d636d660f930 |
Presets
| GPUs | ID |
|------|-----|
| 1x H100 | c6fd6253-cbb6-4ea8-a20c-47644b431f1c |
| 2x H100 | 928dc7be-5236-49a7-9d7d-c01ba6d783f5 |
| 4x H100 | 2470d2d9-347a-4186-884d-bd0350ace4e3 |
| 8x H100 | 404645e3-4677-4f48-b023-15baaa6621e1 |
SSH
ssh -o StrictHostKeyChecking=no -o UserKnownHostsFile=/dev/null -i ~/.ssh/id_ed25519 -p <PORT> user@<IP>
Setup (fresh instance)
source /opt/anaconda3/etc/profile.d/conda.sh && conda activate base
curl -LsSf https://astral.sh/uv/install.sh | sh && source $HOME/.local/bin/env
Available: nvcc, conda, PyTorch 2.5.1, git. Missing: cmake, pip3, uv.
File Transfer
scp -P <PORT> -i ~/.ssh/id_ed25519 <LOCAL> user@<IP>:<REMOTE>
rsync -avz --progress -e "ssh -i ~/.ssh/id_ed25519 -p <PORT>" <SRC> <DST>
Data Persistence
WARNING: Instances are EPHEMERAL - download results before terminating. Stopping preserves data but costs storage.
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