Dstack Agent Skill
A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.
Dstack is an open-source agent skill by dstackai, written mainly in Python, with 2,298 GitHub stars and the MPL-2.0 license. Its code was last updated Oct 30, 2026.
Scan summary: scanned Nov 5, 2026 at commit cf5eb83. Seen able to read environment and secrets. Scan policy
What Dstack can touch
- Our checks did not find this. The tool may still do it.Run shell commandsNot seen in this scan
- Our checks did not find this. The tool may still do it.Run dynamic codeNot seen in this scan
- Our checks did not find this. The tool may still do it.Read or write filesNot seen in this scan
- Seen in this scan, either in the code or while it ran.Read environment and secretsFound in the code by our scan
- Our checks did not find this. The tool may still do it.Control a web browserNot seen in this scan
- Our checks did not find this. The tool may still do it.Connect to databasesNot seen in this scan
- Our checks did not find this. The tool may still do it.Read or send messagesNot seen in this scan
- Our checks did not find this. The tool may still do it.Touch money or tradingNot seen in this scan
- Our checks did not find this. The tool may still do it.Connect to the internetNot run in this scan
"Not seen" means our checks did not find it, and the tool may still do it. Covers commit cf5eb83, Nov 5, 2026. See the scan policy.
Before you install Dstack
AgenticMart scanned Dstack on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.
What it can access
- A skill is instructions plus optional scripts. The instructions steer your agent; any scripts run on your machine when the agent uses the skill.
- Based on its description and topics, it likely needs to act on cloud infrastructure.
Before you install
- Use a role with only the permissions it needs, never an admin key.
- Pin the version you reviewed instead of always installing the latest release.
- Read the tool list or scripts before the first run, and keep approval prompts on for actions that write, send or delete.
- Maintained by dstackai on GitHub, 2,298 stars and 272 forks. Popularity is not proof of safety.
- Last code change: Oct 30, 2026.
- Open-source license: MPL-2.0.
Dstack is an open-source agent skill by dstackai, written mainly in Python. A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.
At a glance
- Stars
- 2.3k
- Forks
- 272
- Language
- Python
- License
- MPL-2.0
- Created
- Jan 2022
- Last update
- Oct 30, 2026
- Type
- Agent Skill
- Price
- Free
Topics
Questions about Dstack
What is Dstack?
A unified orchestration layer for heterogeneous AI compute. It standardizes how to manage compute and run training and inference on GPU clouds, Kubernetes, VMs, or bare-metal clusters.
Who maintains Dstack?
Dstack is maintained by dstackai on GitHub (dstackai/dstack). AgenticMart lists it from public repository data.
Is Dstack safe to use?
AgenticMart scanned Dstack on Nov 5, 2026 with automated checks for hidden code, known-malicious packages, leaked secrets and vulnerable dependencies. The result covers one commit under our scan policy, so review what access you give it and check any advisories shown here.
What license does Dstack use?
It is published under the MPL-2.0 license.
Dstack alternatives
View more →Similar agent skills in Data Science & ML, ranked by GitHub stars. Compare licence, recent activity and scan status before you choose.
| Name | Stars | Licence | Last updated | Scan |
|---|---|---|---|---|
| Dstack (this page) dstackai | 2.3k | MPL-2.0 | Oct 30, 2026 | Scanned, no flagged issues |
| Elephant Goldfish Model google | 8.4k | Apache-2.0 | Oct 30, 2026 | Scanned, no flagged issues |
| Datamodel Code Generator datamodel-code-generator | 4k | MIT | Nov 1, 2026 | Scanned, no flagged issues |
| Knowhere Ontos-AI | 3.9k | Apache-2.0 | Oct 31, 2026 | Scanned, no flagged issues |
| Natively Cluely AI Assistant Natively-AI-assistant | 3.1k | None found | Nov 1, 2026 | Not scanned yet |
| J Space Cognition Suite Tiger3807861189 | 3k | Apache-2.0 | Sep 14, 2026 | Scanned, no flagged issues |