mlops-coding-skills: Instructions file for Codex

AGENTS.md

mlops-coding-skills AGENTS.md is an instructions file for Codex, OpenCode from MLOps-Courses/mlops-coding-skills. It costs 1,100 tokens per session, scanned A, original, MIT.

Contributor instructions for a collection of reusable MLOps skills, where MLOps means the practices used to build, deploy, and maintain machine-learning systems.

In plain words
What is it for?
Use them when editing or verifying an MLOps skill, checking its guidance against the reference Python package, or running the project’s standard validation tasks.
Why use it?
They define the project’s purpose, reference technology versions, setup commands, and definition of done, while noting that the repository contains instructions rather than an application.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Claude Code; mentions AGENTS.md; mentions Gemini CLI.

This is MLOps-Courses/mlops-coding-skills's own configuration. It tells Codex and OpenCode how to work on mlops-coding-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything mlops-coding-skills configures →

Reuse

Borrowing it

Nothing to install: this file belongs to MLOps-Courses/mlops-coding-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/MLOps-Courses/mlops-coding-skills/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/MLOps-Courses/mlops-coding-skills

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for mlops-coding-skills AGENTS.md

README.md
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Your own site
<a href="https://agentmods.dev/instructions/mlops-courses/mlops-coding-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/mlops-courses/mlops-coding-skills/agents-md/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.

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Your own site · 80×15
<a href="https://agentmods.dev/instructions/mlops-courses/mlops-coding-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/mlops-courses/mlops-coding-skills/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,100 This file is loaded in full into every session.
When invoked 1,100 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01100 $0.01100
Opus 5.5 $0.00440 $0.00440
Sonnet 5.5 $0.00220 $0.00220
Haiku 4.5 $0.00110 $0.00110

Measured 26d ago against content hash ad6ffc6fecc2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mlops-coding-skills AGENTS.md 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 26d 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.

AGENTS.md · 41 lines

How it starts

The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Context and rules for AI agents working in this repository. Humans should start with README.md.

Project overview

  • Name: mlops-coding-skills — a collection of Anthropic-style Agent Skills for MLOps.
  • Purpose: package the methodology of the MLOps Coding Course as reusable skills that AI coding assistants (Antigravity, Gemini CLI, GitHub Copilot, Claude Code) can load on demand.
  • Content: each mlops-*/ folder holds one SKILL.md (YAML frontmatter + Markdown instructions). There is no application code to build and no test suite to run.
  • Reference: the skills describe the stack implemented in mlops-python-package — Python 3.14, uv, mise, Ruff, ty, pytest, MLflow 3 on a SQL tracking store (sqlite:///mlflow.db, not the deprecated file store). Verify an instruction against that package before writing it.

Setup & core commands

All work goes through mise (see mise.toml); git hooks (lefthook.yml) and CI call the same tasks.

  • Everything: mise run all — format, then check. This is the gate; CI runs this exact task and nothing else.
  • Install: mise install installs the pinned tools; mise run install installs the git hooks (lefthook).
  • Format: mise run format — dprint formats JSON, Markdown, TOML, and YAML, including the seven SKILL.md deliverables.
  • Check: mise run check — dprint check (format), actionlint + zizmor (workflows), gitleaks (secrets in the last 100 commits), trivy (secrets and license scan; this repository has no runtime manifests or deployment files), check:frontmatter (name equals folder), and gh skill publish --dry-run (Agent Skills specification).
  • Tools are pinned in mise.toml and locked in mise.lock; run mise lock after changing a version.

Definition of done

A change is complete only when, locally, mise run all passes with no findings and the seven SKILL.md files still describe commands that exist in the reference package. Fix root causes — never weaken an assertion, exclude a file, or skip a check to force a green result.

Read the full file on GitHub · 41 lines

Changes

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.

  1. 26d ago Changed · +8 tokens per session ad6ffc6fecc2
  2. 2mo ago First seen · 41 lines · 1,092 tokens per session scan A 2f9aa39c8507

Subscribe to this mod's changes

mlops-coding-skills AGENTS.md is an instructions file published in the GitHub repository MLOps-Courses/mlops-coding-skills (23 stars, last pushed 20d ago), licensed MIT. It adds 1,100 tokens to every session, about $0.0044 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 2026-08-30.

Related

mlops-coding-skills AGENTS.md compared with instructions from other repositories

mlops-coding-skills AGENTS.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
mlops-coding-skills AGENTS.mdMLOps-Courses/mlops-coding-skillsInstructions file2320d agoMITA1,100Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA9,719GitHub Copilot
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA5,516GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143ktodayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149ktodayMITA4,680Codex, OpenCode
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA3,093GitHub Copilot
vscode model-prompts.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA2,022GitHub Copilot