Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add dominodatalab/domino-claude-plugin --skill workspacesgit clone --depth 1 https://github.com/dominodatalab/domino-claude-pluginWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/dominodatalab/domino-claude-plugin/workspaces)<a href="https://agentmods.dev/skills/dominodatalab/domino-claude-plugin/workspaces"><img src="https://agentmods.dev/badge/skills/dominodatalab/domino-claude-plugin/workspaces.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00067 | $0.01144 |
| Opus 5 | $0.00034 | $0.00572 |
| Sonnet 5 | $0.00013 | $0.00229 |
| Haiku 4.5 | $0.00007 | $0.00114 |
Grade A, and why
domino-workspaces scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domino Workspaces Skill
Description
This skill helps users work with Domino Workspaces - interactive development environments for data science work including Jupyter notebooks, JupyterLab, VS Code, and RStudio.
Activation
Activate this skill when users want to:
- Launch or configure a workspace in Domino
- Work with Jupyter notebooks, VS Code, or RStudio
- Configure workspace settings (hardware tier, environment, volumes)
- Understand workspace persistence and file management
- Use SSH to connect to remote workspaces
- Install packages in workspaces
Workspace Types
Available IDEs
Domino provides these default workspace types:
- Jupyter Notebook: Classic notebook interface
- JupyterLab: Modern Jupyter interface with file browser
- VS Code: Full-featured code editor with extensions
- RStudio: IDE for R development
- Custom IDEs: Can configure additional workspace types
Launching a Workspace
Via Domino UI
- Navigate to your project
- Click Workspaces in the navigation
- Click Launch Workspace
- Select:
- IDE: Choose Jupyter, VS Code, RStudio, etc.
- Hardware Tier: CPU/memory/GPU resources
- Compute Environment: Docker environment with tools
- Volume Size: Persistent storage (if needed)
- Click Launch
Via Python SDK
from domino import Domino
domino = Domino("project-owner/project-name")
# Start a workspace
workspace = domino.workspace_start(
environment_id="env-123",
hardware_tier_name="small",
workspace_type="JupyterLab"
)
print(f"Workspace ID: {workspace['workspaceId']}")
File Persistence
Persistent Directories
Work saved to these directories persists across workspace sessions:
/mnt/- Project files (synced with Domino)/mnt/data/- Domino Datasets/mnt/artifacts/- Project artifacts/mnt/imported/- Imported data
Home Directory Persistence
Domino 6.1+ supports home directory persistence:
- Installed packages persist across sessions
- User configurations (.bashrc, .vimrc) are retained
- Reduces workspace startup time
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 172 lines · 67 tokens per session scan A d1a0890cd625
domino-workspaces is a skill published in the GitHub repository dominodatalab/domino-claude-plugin (6 stars, last pushed 2mo ago), licensed MIT. It adds 67 tokens to every session and 1,144 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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