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frontier-cockpit: Agent for Claude Code

.github/agents/ai-native-engineer.agent.md

AI-Native Engineer is an agent for Claude Code from paulasilvatech/frontier-cockpit. It costs 98 tokens per session (1,188 once invoked), scanned A, original, no licence file.

An engineering guide for building AI agents with GitHub and Azure AI Foundry, Microsoft's platform for developing AI applications.

In plain words
What is it for?
Use it to design agent architectures and create architecture diagrams for AI systems that run on GitHub and Azure.
Why use it?
It helps you think through how agents use models, prompts, memory, tools, safety checks, testing, monitoring, and costs in a production system.

Agent for Claude Code

Written for Claude Code: argument-hint in frontmatter.

This is paulasilvatech/frontier-cockpit's own configuration. It tells Claude Code how to work on frontier-cockpit itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything frontier-cockpit configures →

not rated 11repo 3mo ago A scan 98 tokens no licence
View source ↗ paulasilvatech/frontier-cockpit paulasilvatech.github.io
Reuse

Borrowing it

Nothing to install: this file belongs to paulasilvatech/frontier-cockpit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/paulasilvatech/frontier-cockpit/main/.github/agents/ai-native-engineer.agent.md
Clone the repo
git clone --depth 1 https://github.com/paulasilvatech/frontier-cockpit

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-Native Engineer

README.md
[![agentmods](https://agentmods.dev/badge/agents/paulasilvatech/frontier-cockpit/ai-native-engineer/github.svg)](https://agentmods.dev/agents/paulasilvatech/frontier-cockpit/ai-native-engineer)
Your own site
<a href="https://agentmods.dev/agents/paulasilvatech/frontier-cockpit/ai-native-engineer"><img src="https://agentmods.dev/badge/agents/paulasilvatech/frontier-cockpit/ai-native-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-Native Engineer

Your own site · 80×15
<a href="https://agentmods.dev/agents/paulasilvatech/frontier-cockpit/ai-native-engineer"><img src="https://agentmods.dev/badge/agents/paulasilvatech/frontier-cockpit/ai-native-engineer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 98 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,188 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 $0.00098 $0.01188
Opus 5.5 $0.00039 $0.00475
Sonnet 5.5 $0.00020 $0.00238
Haiku 4.5 $0.00010 $0.00119

Measured 2mo ago against content hash f890280c3d73, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

AI-Native 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.

.github/agents/ai-native-engineer.agent.md · 47 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

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 · 47 lines · 98 tokens per session scan A f890280c3d73

Subscribe to this mod's changes

AI-Native Engineer is an agent published in the GitHub repository paulasilvatech/frontier-cockpit (11 stars, last pushed 3mo ago), with no licence file. It adds 98 tokens to every session and 1,188 once invoked, about $0.0004 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 2026-08-30.

Building agentsCost OptimizationData and AIagentic-devopsai-creditsai-observabilityaspireazure
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