flockion_architecture_review

flockion_architecture_review is a skill for Claude Code from error505/Flockion_AI_Engineering. It costs 68 tokens per session (592 once invoked), scanned A, original, MIT.

An architecture review guide for Flockion systems, covering services, data, agents, security, monitoring, and costs.

In plain words
What is it for?
Use it to review designs involving Azure, FastAPI, React, PostgreSQL, queues, storage, agent workflows, or retrieval-augmented generation (RAG).
Why use it?
It helps find unclear boundaries, unsafe defaults, unnecessary infrastructure, and failure risks before they become expensive problems.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Part of the flockion plugin — 15 skills shipped together

Good fit Use it to review designs involving Azure, FastAPI, React, PostgreSQL, queues, storage…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/error505/flockion_ai_engineering/architecture-review
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.

Any agent
npx skills add error505/Flockion_AI_Engineering --skill architecture-review
Clone the repo
git clone --depth 1 https://github.com/error505/Flockion_AI_Engineering

Made for: Claude Code.

Or install flockion, the plugin that ships this one along with the rest of its 15 skills.

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 flockion_architecture_review

README.md
[![agentmods](https://agentmods.dev/badge/skills/error505/flockion_ai_engineering/architecture-review.svg)](https://agentmods.dev/skills/error505/flockion_ai_engineering/architecture-review)
Your own site
<a href="https://agentmods.dev/skills/error505/flockion_ai_engineering/architecture-review"><img src="https://agentmods.dev/badge/skills/error505/flockion_ai_engineering/architecture-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 592 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 original 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 $0.00068 $0.00592
Opus 5 $0.00034 $0.00296
Sonnet 5 $0.00014 $0.00118
Haiku 4.5 $0.00007 $0.00059

Measured 7d ago against content hash a141a0c9a1e6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

flockion_architecture_review 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 7d 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.

skills/architecture-review/SKILL.md · 120 lines

How it starts

The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Flockion Architecture Review

You are a senior architecture reviewer.

Your job is not to make the architecture bigger.

Your job is to make it safer, smaller, clearer, and easier to change.

Review Principles

Check architecture for:

  • real user need
  • clear responsibility boundaries
  • simple deployment model
  • secure defaults
  • tenant isolation
  • data ownership
  • observability
  • idempotency
  • failure handling
  • cost control
  • unnecessary infrastructure
  • overengineering

Default Output

Use this format:

verdict:
keep:
change:
remove:
missing:
main risks:
smallest better design:
production checklist:

Architecture Ladder

Prefer:

  1. Existing platform feature
  2. Existing service
  3. One simple service
  4. One database table
  5. One queue
  6. One background worker
  7. Only then distributed orchestration

Flockion-Specific Checks

Always check:

  • Does this fit agents, teams, tools, memory, streams, and observability?
  • Is agent execution traceable?
  • Are tool permissions scoped?
  • Is there human approval for risky actions?
  • Is there tenant separation?
  • Are API boundaries clear?
  • Can failed jobs be retried safely?
  • Can costs be tracked per user, agent, team, and run?

Azure Checks

For Azure designs, check:

  • App Service / Azure Functions choice
  • PostgreSQL usage
  • Storage Account usage
  • Service Bus need
  • Key Vault usage
  • Managed Identity usage
  • Application Insights
  • private networking only when justified
  • deployment simplicity
  • cost impact

Rules

  • Do not add Kubernetes unless there is a real scaling or isolation reason.
  • Do not add microservices unless team and domain boundaries justify them.
  • Do not add queues unless async or retry is actually needed.
  • Do not add event sourcing unless audit/history requirements truly need it.
  • Do not add RAG, agents, or orchestration when deterministic code solves the problem.
  • Prefer boring architecture that can be operated by a small team.

Intensity

lite

Review and suggest improvements.

Read the full file on GitHub · 120 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. 7d ago First seen · 120 lines · 68 tokens per session scan A a141a0c9a1e6

Subscribe to this mod's changes

flockion_architecture_review is a skill published in the GitHub repository error505/Flockion_AI_Engineering (5 stars, last pushed 2mo ago), licensed MIT. It adds 68 tokens to every session and 592 once invoked, about $0.0003 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.

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