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 zeenie-ai/OpenCompany --skill monty-skillgit clone --depth 1 https://github.com/zeenie-ai/OpenCompanyWrote 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/zeenie-ai/opencompany/monty-skill)<a href="https://agentmods.dev/skills/zeenie-ai/opencompany/monty-skill"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/monty-skill/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/zeenie-ai/opencompany/monty-skill"><img src="https://agentmods.dev/badge/skills/zeenie-ai/opencompany/monty-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.01251 |
| Opus 5 | $0.00021 | $0.00626 |
| Sonnet 5 | $0.00008 | $0.00250 |
| Haiku 4.5 | $0.00004 | $0.00125 |
Grade A, and why
monty-skill 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 13d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sandboxed Python (Monty) Tool
Execute Python in a deny-by-default sandbox powered by Pydantic Monty — a minimal Python interpreter written in Rust. Unlike the python_code tool (CPython exec with a restricted namespace), Monty enforces wall-clock and memory limits and grants zero host access unless you explicitly request it.
Prefer this tool when running code you don't fully trust, or when you need guaranteed time/memory bounds. Use python_code instead when you need libraries Monty doesn't support (e.g. random, collections) or language features it lacks (classes, generators).
How It Works
Connect the Monty Executor node to an agent's input-tools handle. The LLM calls the sandboxed_python tool with code (and optionally capabilities, timeout, max_memory_mb).
Schema Fields
| Field | Type | Required | Default | Description |
|---|---|---|---|---|
| code | string | Yes | — | Python code to run in the sandbox |
| timeout | int | No | 30 | Max wall-clock seconds (1–600), enforced |
| max_memory_mb | int | No | 256 | Max memory in MB (16–2048), enforced |
| capabilities | string[] | No | [] |
Host grants to enable (see below); empty = no host access |
Inputs & Output
input_data— a dict of upstream node outputs is available as the variableinput_data. Read withinput_data.get('someNode', {}).- Return a result by making it the last expression in your code (e.g. a final line that is just
outputor a dict literal). print(...)output is captured and returned asconsole_output.
Supported Python Subset
| Works | Does NOT work |
|---|---|
def, closures, lambda |
class definitions |
if / for / while |
yield / generators |
try / except |
with statements (without a workspace mount) |
| list / dict / set comprehensions | match / case |
| f-strings | import random, import collections, import os |
async def / await |
arbitrary third-party packages |
import math, import json, import re |
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.
- 13d ago First seen · 117 lines · 42 tokens per session scan A c43899d0f040
monty-skill is a skill published in the GitHub repository zeenie-ai/OpenCompany (883 stars, last pushed today), licensed MIT. It adds 42 tokens to every session and 1,251 once invoked, about $0.0002 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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