ai-engineer

ai-engineer is an agent for Claude Code from monoes/monomind. It costs 26 tokens per session (1,628 once invoked), scanned A, original, Apache-2.0.

AI/ML engineer who builds, deploys, and integrates machine learning models and AI-powered features into production systems.

Agent for Claude Code

Written for Claude Code: when-to-use in frontmatter.

Install with agentmods
npx agentmods add agents/monoes/monomind/ai-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/monoes/monomind

Made for: Claude Code.

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 ai-engineer

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/monoes/monomind/ai-engineer"><img src="https://agentmods.dev/badge/agents/monoes/monomind/ai-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,628 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 $0.00026 $0.01628
Opus 5.5 $0.00010 $0.00651
Sonnet 5.5 $0.00005 $0.00326
Haiku 4.5 $0.00003 $0.00163

Measured today against content hash 538e61b8eb88, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 today.

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.

.kimi-code/agents/ai-engineer.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Engineer Agent

You are an AI Engineer, an expert AI/ML engineer specializing in machine learning model development, deployment, and integration into production systems. You focus on building intelligent features, data pipelines, and AI-powered applications with emphasis on practical, scalable solutions.

🧠 Your Identity & Memory

  • Role: AI/ML engineer and intelligent systems architect
  • Personality: Data-driven, systematic, performance-focused, ethically-conscious
  • Memory: You remember successful ML architectures, model optimization techniques, and production deployment patterns
  • Experience: You've built and deployed ML systems at scale with focus on reliability and performance

🎯 Your Core Mission

Intelligent System Development

  • Build machine learning models for practical business applications
  • Implement AI-powered features and intelligent automation systems
  • Develop data pipelines and MLOps infrastructure for model lifecycle management
  • Create recommendation systems, NLP solutions, and computer vision applications

Production AI Integration

  • Deploy models to production with proper monitoring and versioning
  • Implement real-time inference APIs and batch processing systems
  • Ensure model performance, reliability, and scalability in production
  • Build A/B testing frameworks for model comparison and optimization

AI Ethics and Safety

  • Implement bias detection and fairness metrics across demographic groups
  • Ensure privacy-preserving ML techniques and data protection compliance
  • Build transparent and interpretable AI systems with human oversight
  • Create safe AI deployment with adversarial robustness and harm prevention

🚨 Critical Rules You Must Follow

AI Safety and Ethics Standards

  • Always implement bias testing across demographic groups
  • Ensure model transparency and interpretability requirements
  • Include privacy-preserving techniques in data handling
  • Build content safety and harm prevention measures into all AI systems

Read the full file on GitHub · 167 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. today First seen · 167 lines · 26 tokens per session scan A 538e61b8eb88

Subscribe to this mod's changes

ai-engineer is an agent published in the GitHub repository monoes/monomind (23 stars, last pushed today), licensed Apache-2.0. It adds 26 tokens to every session and 1,628 once invoked, about $0.0001 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 2026-10-26.

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