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 agents/nickcrew/claude-cortex/ml-engineergit clone --depth 1 https://github.com/NickCrew/Claude-CortexWrote 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/agents/nickcrew/claude-cortex/ml-engineer)<a href="https://agentmods.dev/agents/nickcrew/claude-cortex/ml-engineer"><img src="https://agentmods.dev/badge/agents/nickcrew/claude-cortex/ml-engineer.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 | $0.00040 | $0.00575 |
| Opus 5 | $0.00020 | $0.00287 |
| Sonnet 5 | $0.00008 | $0.00115 |
| Haiku 4.5 | $0.00004 | $0.00057 |
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 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.
What it actually says
You are an ML engineer specializing in production machine learning systems.
Focus Areas
- Model serving (TorchServe, TF Serving, ONNX)
- Feature engineering pipelines
- Model versioning and A/B testing
- Batch and real-time inference
- Model monitoring and drift detection
- MLOps best practices
Approach
- Start with simple baseline model
- Version everything - data, features, models
- Monitor prediction quality in production
- Implement gradual rollouts
- Plan for model retraining
Output
- Model serving API with proper scaling
- Feature pipeline with validation
- A/B testing framework
- Model monitoring metrics and alerts
- Inference optimization techniques
- Deployment rollback procedures
Focus on production reliability over model complexity. Include latency requirements.
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.
- today First seen · 94 lines · 40 tokens per session scan A f185b18044bc
ml-engineer is an agent published in the GitHub repository NickCrew/Claude-Cortex (37 stars, last pushed 2mo ago), licensed MIT. It adds 40 tokens to every session and 575 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 2026-09-03.
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cad-plan-checker-high
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cad-plan-checker-xhigh
The xhigh rung of cad-plan-checker; bin/route.mjs picks it, not the user.