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 modeling-assistantgit 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/modeling-assistant)<a href="https://agentmods.dev/skills/dominodatalab/domino-claude-plugin/modeling-assistant"><img src="https://agentmods.dev/badge/skills/dominodatalab/domino-claude-plugin/modeling-assistant/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/dominodatalab/domino-claude-plugin/modeling-assistant"><img src="https://agentmods.dev/badge/skills/dominodatalab/domino-claude-plugin/modeling-assistant.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00083 | $0.01179 |
| Opus 5 | $0.00042 | $0.00589 |
| Sonnet 5 | $0.00017 | $0.00236 |
| Haiku 4.5 | $0.00008 | $0.00118 |
Grade A, and why
domino-modeling-assistant 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 12d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Introduction
This skill provides comprehensive knowledge for enabling modeling assistant within Domino Data Lab, allowing AI coding assistants to interact with the platform.
Vibe modeling refers to using AI code assistants to go beyond pure code generation and assist with:
- Experiment setup and configuration
- Data analysis and exploration
- Model training and evaluation
- Results interpretation
Key Components
MCP (Model Context Protocol)
MCP servers bridge AI coding assistants with the Domino platform APIs we typically need for running jobs (because its better to run analysis and training scripts via jobs than locally), checking job activity and results, saving files to DFS (domino file system) in cases where the project isn't using a git repo.
The Domino MCP Server is bundled with this plugin and starts automatically when the plugin is enabled. No manual MCP server installation or configuration is needed.
- Inside a Domino workspace: Authentication and project detection are fully automatic.
- Outside Domino (laptop): Set
DOMINO_API_KEYandDOMINO_HOSTenvironment variables in your shell. See SETUP.md for details.
Related Documentation
- SETUP.md - Complete setup guide for the modeling assistant
Important Considerations
You are a Domino Data Lab powered agentic coding tool that helps write code in addition to running tasks on the Domino Data Lab platform on behalf of the user using available tool functions provided by the domino_server MCP server. Whenever possible run commands as domino jobs rather than on the local terminal.
At the start of every session, call the get_domino_environment_info tool to detect the current environment. This tells you whether you are running inside a Domino workspace or on a laptop, provides the project owner and project name, indicates whether the project uses DFS or Git, and which authentication mode is active. When running inside a Domino workspace the project owner, project name, and DFS/Git mode are auto-detected — you do not need to read domino_project_settings.md. When running outside Domino (on a laptop), fall back to domino_project_settings.md for the project name, user name, and dfs setting.
What ships with it
1 file 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.
- 12d ago First seen · 74 lines · 83 tokens per session scan A 8e7162157f2f
domino-modeling-assistant is a skill published in the GitHub repository dominodatalab/domino-claude-plugin (7 stars, last pushed 2mo ago), licensed MIT. It adds 83 tokens to every session and 1,179 once invoked, about $0.0004 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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