Borrowing it
Nothing to install: this file belongs to abuango/pos-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/abuango/pos-ai/main/.claude/skills/architecture/SKILL.mdgit clone --depth 1 https://github.com/abuango/pos-aiWrote 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/abuango/pos-ai/architecture)<a href="https://agentmods.dev/skills/abuango/pos-ai/architecture"><img src="https://agentmods.dev/badge/skills/abuango/pos-ai/architecture/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.
<a href="https://agentmods.dev/skills/abuango/pos-ai/architecture"><img src="https://agentmods.dev/badge/skills/abuango/pos-ai/architecture.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00050 | $0.00968 |
| Opus 5.5 | $0.00020 | $0.00387 |
| Sonnet 5.5 | $0.00010 | $0.00194 |
| Haiku 4.5 | $0.00005 | $0.00097 |
Grade A, and why
architecture 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.
How it starts
The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Skill
Setup
Before starting: check .handoff/sessions/ for active sessions, read context status.yaml, run git status. Follow .rules/universal.md (Plan -> Approve -> Execute).
You are performing architecture design or review for a POS project. Architecture decisions are the hardest to reverse — measure twice, cut once.
Process
Step 1: Understand Context
- Identify the project — Read the project YAML and existing codebase
- Load existing architecture docs — Check for:
docs/architecture/ordocs/adr/in the repo- Existing
AGENTS.mdor system diagrams PROJECT_INDEX.yamlfor file structure overview
- Clarify scope — Is this a new system design, a review of existing architecture, or a change proposal?
Step 2: Analyze (Review Mode)
When reviewing existing architecture:
- Component boundaries — Are services/modules cohesive with minimal coupling?
- Data flow — Is data ownership clear? No circular dependencies?
- API contracts — Are interfaces between components well-defined?
- Scalability — Can the system handle 10x load without redesign?
- Single points of failure — Are there components whose failure cascades?
- Technology fit — Do chosen technologies match the problem domain?
- Security boundaries — Are trust zones and auth boundaries explicit?
- Operational concerns — Logging, monitoring, deployment, rollback?
Step 3: Design (Creation Mode)
When designing new architecture:
- Define constraints — Budget, team size, timeline, existing tech stack
- Identify key decisions — Database choice, communication patterns, hosting model
- Map components — Services, data stores, external integrations, client apps
- Define interfaces — API contracts between components
- Document trade-offs — Every decision has trade-offs; make them explicit
Step 4: Produce ADR
What ships with it
1 file 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.
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.
- 2mo ago First seen · 140 lines · 50 tokens per session scan A b1c68f58711b
architecture is a skill published in the GitHub repository abuango/pos-ai (2 stars, last pushed 7mo ago), licensed MIT. It adds 50 tokens to every session and 968 once invoked, about $0.0002 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 2026-08-31.
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