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 aAAaqwq/AGI-Super-Team --skill architecture-decisiongit clone --depth 1 https://github.com/aAAaqwq/AGI-Super-TeamWrote 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/aaaaqwq/agi-super-team/architecture-decision)<a href="https://agentmods.dev/skills/aaaaqwq/agi-super-team/architecture-decision"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/architecture-decision/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/aaaaqwq/agi-super-team/architecture-decision"><img src="https://agentmods.dev/badge/skills/aaaaqwq/agi-super-team/architecture-decision.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00034 | $0.01264 |
| Opus 5 | $0.00017 | $0.00632 |
| Sonnet 5 | $0.00007 | $0.00253 |
| Haiku 4.5 | $0.00003 | $0.00126 |
Grade A, and why
architecture-decision 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 6d 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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architecture Decision
Systematically evaluate architecture decisions, document trade-offs, and select appropriate patterns for context. Provides frameworks for pattern selection, ADR creation, and technical debt management.
When to Use This Skill
Use this skill when:
- Making technology choices
- Evaluating architectural patterns
- Creating Architecture Decision Records
- Assessing technical debt
- Comparing design alternatives
Do NOT use this skill when:
- Writing implementation code
- Working on requirements (use requirements-analysis)
- Doing full system design (use system-design)
Core Principle
Context drives decisions. No pattern is universally good or bad. The best architecture is not the most elegant—it's the one that best serves its purpose while remaining maintainable and evolvable.
The Trade-off Triangle
Every architectural decision involves trade-offs:
| Vertex | Maximized By | Cost |
|---|---|---|
| Simplicity | Monolith, sync communication, single DB | Scalability limits |
| Flexibility | Microservices, event-driven, plugins | Complexity overhead |
| Performance | Caching, denormalization, optimized code | Maintainability |
Balance Strategies:
- Start simple, add complexity as needed
- Measure before optimizing
- Use abstractions to defer decisions
- Evolve incrementally
Quality Attributes
Performance
- Metrics: Response time (p50, p95, p99), throughput, resource utilization
- Tactics: Caching, load balancing, async processing
Scalability
- Dimensions: Horizontal, vertical, elastic
- Patterns: Stateless services, sharding, event streaming
Reliability
- Metrics: Uptime, MTBF, MTTR
- Patterns: Circuit breakers, retries, redundancy
Maintainability
- Factors: Readability, modularity, testability
- Patterns: Clean architecture, DDD, SOLID
Context-Pattern Mapping
Team Context
| Context | Preferred Patterns | Avoid |
|---|---|---|
| Small team | Monolith, vertical slices, shared DB | Microservices, complex abstractions |
| Multiple teams | Service boundaries, API contracts | Shared state, tight coupling |
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.
- 6d ago First seen · 197 lines · 34 tokens per session scan A 2c1728bf2f7b
architecture-decision is a skill published in the GitHub repository aAAaqwq/AGI-Super-Team (91 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 1,264 once invoked, about $0.0002 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 2026-09-05.
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