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 agentmods add skills/mlops-courses/mlops-coding-skills/mlops-validationnpx skills add MLOps-Courses/mlops-coding-skills --skill mlops-validationgit 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-validation)<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="Measured on agentmods" 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 | $0.00055 | $0.01989 |
| Opus 5 | $0.00028 | $0.00994 |
| Sonnet 5 | $0.00011 | $0.00398 |
| Haiku 4.5 | $0.00006 | $0.00199 |
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 3d 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 — 116 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
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. |
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.
- 3d ago First seen · 116 lines · 55 tokens per session scan A 56d43d3bf8d9
mlops-validation is a skill published in the GitHub repository MLOps-Courses/mlops-coding-skills (22 stars, last pushed 24d ago), licensed MIT. It adds 55 tokens to every session and 1,989 once invoked, about $0.0003 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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