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 skills add error505/Flockion_AI_Engineering --skill architecture-reviewgit clone --depth 1 https://github.com/error505/Flockion_AI_EngineeringWrote 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/skills/error505/flockion_ai_engineering/architecture-review)<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>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 5.1 | $0.00068 | $0.00592 |
| Opus 5 | $0.00034 | $0.00296 |
| Sonnet 5 | $0.00014 | $0.00118 |
| Haiku 4.5 | $0.00007 | $0.00059 |
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.
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:
- Existing platform feature
- Existing service
- One simple service
- One database table
- One queue
- One background worker
- 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.
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.
- 7d ago First seen · 120 lines · 68 tokens per session scan A a141a0c9a1e6
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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