ml-engineer

A coding-agent add-on related to machine learning engineering, the work of building software that learns patterns from data. Its description does not explain which engineering tasks it handles.

In plain words
What is it for?
The available information does not say which machine-learning engineering jobs it supports.
Why use it?
It may help with machine-learning development, but the available information is too limited to identify the problem it removes.

Agent

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.

agentmods
npx agentmods add agents/noah-sheldon/ai-dev-kit/ml-engineer
Clone the repo
git clone --depth 1 https://github.com/noah-sheldon/ai-dev-kit
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00000 $0.00004
Opus 5 $0.00000 $0.00002
Sonnet 5 $0.00000 $0.00001
Haiku 4.5 $0.00000 $0.00000

Measured 2d ago against content hash f4cd01ca0497, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ml-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 2d 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/ml-engineer.agent.md · 1 lines

What it actually says

ml-engineer.md

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. 2d ago First seen · 1 lines · 0 tokens per session scan A f4cd01ca0497

Subscribe to this mod's changes

ml-engineer is an agent published in the GitHub repository noah-sheldon/ai-dev-kit (13 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4 tokens. 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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