AI Engineer

An AI and machine-learning engineering specialist for developing models, deploying them, and adding them to production software. Machine learning uses data to make predictions or decisions.

In plain words
What is it for?
Use it to build models, create data pipelines, deploy machine-learning systems, and integrate AI features into applications.
Why use it?
It helps turn machine-learning ideas into working software, including the data processing and deployment work around a model.

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/andywxy1/ceo-plugin/engineering-ai-engineer
Clone the repo
git clone --depth 1 https://github.com/andywxy1/ceo-plugin
Per session 45 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,468 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00045 $0.01468
Opus 5 $0.00023 $0.00734
Sonnet 5 $0.00009 $0.00294
Haiku 4.5 $0.00005 $0.00147

Measured 2d ago against content hash a3bf20f2ff87, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

AI 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/engineering-ai-engineer.md · 147 lines

The source is not reproduced here

Licensed GPL-3.0

The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

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. 2d ago First seen · 147 lines · 45 tokens per session scan A a3bf20f2ff87

Subscribe to this mod's changes

AI Engineer is an agent published in the GitHub repository andywxy1/ceo-plugin (6 stars, last pushed 5mo ago), licensed GPL-3.0. It adds 45 tokens to every session and 1,468 once invoked, about $0.0002 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 2026-08-31.

Related

Other agents, from other repositories