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 MLOps-Courses/mlops-coding-skills --skill mlops-initializationgit clone --depth 1 https://github.com/MLOps-Courses/mlops-coding-skillsWrote 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/mlops-courses/mlops-coding-skills/mlops-initialization)<a href="https://agentmods.dev/skills/mlops-courses/mlops-coding-skills/mlops-initialization"><img src="https://agentmods.dev/badge/skills/mlops-courses/mlops-coding-skills/mlops-initialization/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/mlops-courses/mlops-coding-skills/mlops-initialization"><img src="https://agentmods.dev/badge/skills/mlops-courses/mlops-coding-skills/mlops-initialization.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 | $0.00050 | $0.02784 |
| Opus 5.5 | $0.00020 | $0.01114 |
| Sonnet 5.5 | $0.00010 | $0.00557 |
| Haiku 4.5 | $0.00005 | $0.00278 |
Grade C, and why
mlops-initialization scanned grade C with 2 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 6d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- If missing, install it: `curl -LsSf https://astral.sh/uv/install.sh | sh` Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- If missing, install it: `curl -LsSf https://astral.sh/uv/install.sh | sh` How it starts
The opening of the file, as written. The whole thing — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MLOps Initialization
Goal
To initialize a robust, production-ready MLOps project structure using the modern Python toolchain (uv), industry-standard version control (git), a shared task runner (mise), and a configured development environment (VS Code). This skill ensures reproducibility, collaboration, and high code quality from day one.
Prerequisites
- Language: Python 3.14 (the tested reference runtime)
- Manager:
uv(replaces pip, venv, poetry, pyenv) - Tasks:
mise(replaces make/just, and pins the toolchain) - VCS: Git
- IDE: VS Code (recommended)
Instructions
Preserve existing work and repository visibility. Prepare local changes first; commit, push, change remote settings, publish, or deploy only with user authorization.
1. System & Toolchain Verification
Before modifying files, verify that the essential tools are available.
- Check
uv:- Ensure
uvis installed:uv --version - If missing, install it:
curl -LsSf https://astral.sh/uv/install.sh | sh
- Ensure
- Check
git:- Ensure
gitis installed:git --version
- Ensure
- Check
mise:- Ensure
miseis installed:mise --version misepins every non-Python tool (dprint,gitleaks,trivy,actionlint, ...) so contributors and CI resolve identical binaries.
- Ensure
2. Project Initialization
Initialize the project structure using uv to ensure modern standards (pyproject.toml).
- Create Directory (if not already inside):
mkdir <project_name> && cd <project_name>
- Initialize Project:
- Run
uv init - With uv 0.12+, this creates
pyproject.toml,.python-version,README.md, and a packaged application undersrc/<project_name>/with a console entrypoint.
- Run
- Configure
pyproject.toml:- Update metadata:
name,version,description,authors,license. - Set requires-python: Ensure it matches the project's target environment (e.g.,
>=3.14). - Declare the license the PEP 639 way:
licenseis an SPDX expression (a plain string), and the file itself is listed inlicense-files. The oldlicense = { file = "LICENSE" }table form is deprecated and rejected by current build backends. - Example Structure:
- Update metadata:
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.
- 6d ago Changed 4cd3820fce31
- 1mo ago First seen · 212 lines · 50 tokens per session scan C 24f17b9b7010
mlops-initialization is a skill published in the GitHub repository MLOps-Courses/mlops-coding-skills (23 stars, last pushed 7d ago), licensed MIT. It adds 50 tokens to every session and 2,784 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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