frontier-cockpit: Skill for Claude Code

.github/skills/agentic-architecture-patterns/SKILL.md

agentic-architecture-patterns is a skill for Claude Code from paulasilvatech/frontier-cockpit. It costs 149 tokens per session (1,110 once invoked), scanned A, original, no licence file.

A decision guide for designing production AI agent systems on GitHub and Azure AI Foundry. It covers model selection, memory, retrieval-augmented generation (finding relevant stored information), tools, identity, safety rules, testing, and monitoring.

In plain words
What is it for?
Use it when planning or reviewing the architecture of an AI agent application.
Why use it?
It helps turn an AI-agent idea into a system with deliberate choices for context, reliability, security, and evaluation.

Skill 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 →

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/skills/agentic-architecture-patterns/SKILL.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 agentic-architecture-patterns

README.md
[![agentmods](https://agentmods.dev/badge/skills/paulasilvatech/frontier-cockpit/agentic-architecture-patterns/github.svg)](https://agentmods.dev/skills/paulasilvatech/frontier-cockpit/agentic-architecture-patterns)
Your own site
<a href="https://agentmods.dev/skills/paulasilvatech/frontier-cockpit/agentic-architecture-patterns"><img src="https://agentmods.dev/badge/skills/paulasilvatech/frontier-cockpit/agentic-architecture-patterns/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 agentic-architecture-patterns

Your own site · 80×15
<a href="https://agentmods.dev/skills/paulasilvatech/frontier-cockpit/agentic-architecture-patterns"><img src="https://agentmods.dev/badge/skills/paulasilvatech/frontier-cockpit/agentic-architecture-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 149 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,110 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 $0.00149 $0.01110
Opus 5.5 $0.00060 $0.00444
Sonnet 5.5 $0.00030 $0.00222
Haiku 4.5 $0.00015 $0.00111

Measured 2mo ago against content hash efc40b398c17, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agentic-architecture-patterns 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/skills/agentic-architecture-patterns/SKILL.md · 71 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

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 71 lines · 149 tokens per session scan A efc40b398c17

Subscribe to this mod's changes

agentic-architecture-patterns is a skill published in the GitHub repository paulasilvatech/frontier-cockpit (11 stars, last pushed 3mo ago), with no licence file. It adds 149 tokens to every session and 1,110 once invoked, about $0.0006 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.

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