mlops-engineer

mlops-engineer is an agent for Claude Code from TheBushidoCollective/han. It costs 43 tokens per session (3,992 once invoked), scanned A, original, no licence file.

An MLOps specialist for running machine-learning models in production, including deployment, monitoring, versioning, and A/B testing.

In plain words
What is it for?
Use it to deploy models, create ML pipelines, monitor models, manage versions, and run A/B tests.
Why use it?
It helps manage the operational work needed to keep models reliable and compare different model versions.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the machine-learning plugin — 3 agents shipped together

Good fit Use it to deploy models, create ML pipelines, monitor models, manage versions, and run A/B tests.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/thebushidocollective/han/mlops-engineer
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.

Clone the repo
git clone --depth 1 https://github.com/TheBushidoCollective/han

Made for: Claude Code.

Or install machine-learning, the plugin that ships this one along with the rest of its 3 agents.

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-engineer

README.md
[![agentmods](https://agentmods.dev/badge/agents/thebushidocollective/han/mlops-engineer/github.svg)](https://agentmods.dev/agents/thebushidocollective/han/mlops-engineer)
Your own site
<a href="https://agentmods.dev/agents/thebushidocollective/han/mlops-engineer"><img src="https://agentmods.dev/badge/agents/thebushidocollective/han/mlops-engineer/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-engineer

Your own site · 80×15
<a href="https://agentmods.dev/agents/thebushidocollective/han/mlops-engineer"><img src="https://agentmods.dev/badge/agents/thebushidocollective/han/mlops-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,992 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.
Origin unknown 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 $0.00043 $0.03992
Opus 5.5 $0.00017 $0.01597
Sonnet 5.5 $0.00009 $0.00798
Haiku 4.5 $0.00004 $0.00399

Measured 2mo ago against content hash 30d255fca599, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

mlops-engineer 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 2mo 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.

plugins/disciplines/machine-learning/agents/mlops-engineer.md · 839 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 2mo ago First seen · 839 lines · 43 tokens per session scan A 30d255fca599

Subscribe to this mod's changes

mlops-engineer is an agent published in the GitHub repository TheBushidoCollective/han (200 stars, last pushed yesterday), with no licence file. It adds 43 tokens to every session and 3,992 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 2026-09-03.

Related

mlops-engineer compared with agents from other repositories

mlops-engineer next to 6 agents from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
mlops-engineerTheBushidoCollective/hanAgent200yesterdaynoneA43Claude Code
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fitjeremylongshore/tons-of-skills-marketplaceAgent2.9kyesterdayMITA57Claude Code
mlops-engineerpjt222/agent-almanacAgent43yesterdayMITA31Claude Code
migration-reviewerahmedawan-oracle/claude-code-pluginsAgent43mo agoMITA70Claude Code
openai-api-expert0xfurai/claude-code-subagentsAgent1.0k1y agoMITA23Claude Code
image-prompt-engineer18771050470/big-genius-skillsAgent102mo agononeA32Claude Code