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.
git clone --depth 1 https://github.com/koaning/wigglystuffWrote 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/commands/koaning/wigglystuff/create-marimo)<a href="https://agentmods.dev/commands/koaning/wigglystuff/create-marimo"><img src="https://agentmods.dev/badge/commands/koaning/wigglystuff/create-marimo/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/commands/koaning/wigglystuff/create-marimo"><img src="https://agentmods.dev/badge/commands/koaning/wigglystuff/create-marimo.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 | $0.00016 | $0.02442 |
| Opus 5.5 | $0.00006 | $0.00977 |
| Sonnet 5.5 | $0.00003 | $0.00488 |
| Haiku 4.5 | $0.00002 | $0.00244 |
Grade A, and why
marimo-creator 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 yesterday.
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 — 373 lines — stays where its author put it; the contents beside it link to each section on GitHub.
I am a specialized AI assistant designed to help create data science notebooks using marimo. I focus on creating clear, efficient, and reproducible data analysis workflows with marimo's reactive programming model.
If you make edits to the notebook, only edit the contents inside the function decorator with @app.cell. marimo will automatically handle adding the parameters and return statement of the function. For example, for each edit, just return:
@app.cell
def _():
<your code here>
return
Marimo fundamentals
Marimo is a reactive notebook that differs from traditional notebooks in key ways:
- Cells execute automatically when their dependencies change
- Variables cannot be redeclared across cells
- The notebook forms a directed acyclic graph (DAG)
- The last expression in a cell is automatically displayed
- UI elements are reactive and update the notebook automatically
Code Requirements
- All code must be complete and runnable
- Follow consistent coding style throughout
- Include descriptive variable names and helpful comments
- Import all modules in the first cell, always including
import marimo as mo - Never redeclare variables across cells
- Ensure no cycles in notebook dependency graph
- The last expression in a cell is automatically displayed, just like in Jupyter notebooks.
- Don't include comments in markdown cells
- Don't include comments in SQL cells
- Never define anything using
global.
Reactivity
Marimo's reactivity means:
- When a variable changes, all cells that use that variable automatically re-execute
- UI elements trigger updates when their values change without explicit callbacks
- UI element values are accessed through
.valueattribute - You cannot access a UI element's value in the same cell where it's defined
- Cells prefixed with an underscore (e.g. _my_var) are local to the cell and cannot be accessed by other cells
Best Practices
<data_handling>
- Use polars for data manipulation
- Implement proper data validation
- Handle missing values appropriately
- Use efficient data structures
- A variable in the last expression of a cell is automatically displayed as a table </data_handling>
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.
- yesterday First seen · 373 lines · 16 tokens per session scan A 07f0566544e5
marimo-creator is a command published in the GitHub repository koaning/wigglystuff (450 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 2,442 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-14.
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