mlops-validation

mlops-validation is a skill for Claude Code, Codex from MLOps-Courses/mlops-coding-skills. It costs 55 tokens per session (2,111 once invoked), scanned A, original, MIT.

A set of automated checks for Python projects, covering code style, type consistency, tests, logs, dependency vulnerabilities, and leaked secrets. It groups these checks into shared mise tasks, which are named commands that can run locally and in CI.

In plain words
What is it for?
Use it to run formatting and lint checks, verify Python types, run pytest tests and coverage, inspect structured logging, and scan dependencies, files, and containers for known risks or secrets.
Why use it?
It catches quality, security, and dependency problems before code is merged or deployed. Using the same tasks in each environment keeps the checks consistent.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to run formatting and lint checks, verify Python types, run pytest tests and coverage, inspect structured logging, and scan dependencies, files, and containers for known risks or secrets.

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Install with agentmods
npx agentmods add skills/mlops-courses/mlops-coding-skills/mlops-validation
Install

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.

Any agent
npx skills add MLOps-Courses/mlops-coding-skills --skill mlops-validation
Clone the repo
git clone --depth 1 https://github.com/MLOps-Courses/mlops-coding-skills

Made for: Claude Code, Codex.

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-validation

README.md
[![agentmods](https://agentmods.dev/badge/skills/mlops-courses/mlops-coding-skills/mlops-validation/github.svg)](https://agentmods.dev/skills/mlops-courses/mlops-coding-skills/mlops-validation)
Your own site
<a href="https://agentmods.dev/skills/mlops-courses/mlops-coding-skills/mlops-validation"><img src="https://agentmods.dev/badge/skills/mlops-courses/mlops-coding-skills/mlops-validation/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.

agentmods 80×15 button for mlops-validation

Your own site · 80×15
<a href="https://agentmods.dev/skills/mlops-courses/mlops-coding-skills/mlops-validation"><img src="https://agentmods.dev/badge/skills/mlops-courses/mlops-coding-skills/mlops-validation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,111 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00055 $0.02111
Opus 5.5 $0.00022 $0.00844
Sonnet 5.5 $0.00011 $0.00422
Haiku 4.5 $0.00006 $0.00211

Measured 6d ago against content hash 4120a5cdc54b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mlops-validation 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 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.

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.

mlops-validation/SKILL.md · 124 lines

How it starts

The opening of the file, as written. The whole thing — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.

MLOps Validation

Goal

To ensure software quality, reliability, and security through automated validation layers. This skill enforces Strict Typing (ty), Unified Linting (ruff), Comprehensive Testing (pytest), Structured Logging, and Supply-Chain Scanning (pip-audit, gitleaks, trivy).

Prerequisites

  • Language: Python 3.14
  • Manager: uv; Tasks: mise
  • Context: Ensuring code quality before merge/deploy.

Instructions

Preserve existing work and repository visibility. Prepare local changes first; commit, push, change remote settings, publish, or deploy only with user authorization.

1. The Task Vocabulary

Every check below is a mise task, so the same command runs locally, in the git hook, and in CI. Never invoke the underlying tool by hand in a hook or a workflow — the task is the single definition.

Task Tool What it proves
check:format dprint, validate-pyproject, ruff format --check, uv lock --check Files and manifests are canonical and the lockfile is current.
check:lint ruff check No lint violation, including the S (security) rules.
check:types ty check Type annotations are consistent.
check:vuln pip-audit No known CVE in the resolved Python dependencies.
check:leaks gitleaks No secret in the staged change or the recent history.
check:scan trivy No misconfiguration, leaked secret, or forbidden license in the tree.
check:actions actionlint, zizmor Workflows are valid and not vulnerable.
test pytest Behavior is covered and correct.

Read the full file on GitHub · 124 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. 6d ago Changed · +8 lines 4120a5cdc54b
  2. 1mo ago First seen · 116 lines · 55 tokens per session scan A 56d43d3bf8d9

Subscribe to this mod's changes

mlops-validation is a skill published in the GitHub repository MLOps-Courses/mlops-coding-skills (23 stars, last pushed 7d ago), licensed MIT. It adds 55 tokens to every session and 2,111 once invoked, about $0.0002 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.