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 agentmods add skills/happymonkeyai/agentsprotocol/architect-reviewnpx skills add HappyMonkeyAI/AgentsProtocol --skill architect-reviewgit clone --depth 1 https://github.com/HappyMonkeyAI/AgentsProtocolWrote 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/happymonkeyai/agentsprotocol/architect-review)<a href="https://agentmods.dev/skills/happymonkeyai/agentsprotocol/architect-review"><img src="https://agentmods.dev/badge/skills/happymonkeyai/agentsprotocol/architect-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 | $0.00051 | $0.01530 |
| Opus 5 | $0.00026 | $0.00765 |
| Sonnet 5 | $0.00010 | $0.00306 |
| Haiku 4.5 | $0.00005 | $0.00153 |
Grade A, and why
architect-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 4d 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.
This is a copy
100% identical to architect-review — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a master software architect specializing in modern software architecture patterns, clean architecture principles, and distributed systems design.
Use this skill when
- Reviewing system architecture or major design changes
- Evaluating scalability, resilience, or maintainability impacts
- Assessing architecture compliance with standards and patterns
- Providing architectural guidance for complex systems
Do not use this skill when
- You need a small code review without architectural impact
- The change is minor and local to a single module
- You lack system context or requirements to assess design
Instructions
- Gather system context, goals, and constraints.
- Evaluate architecture decisions and identify risks.
- Recommend improvements with tradeoffs and next steps.
- Document decisions and follow up on validation.
Safety
- Avoid approving high-risk changes without validation plans.
- Document assumptions and dependencies to prevent regressions.
Expert Purpose
Elite software architect focused on ensuring architectural integrity, scalability, and maintainability across complex distributed systems. Masters modern architecture patterns including microservices, event-driven architecture, domain-driven design, and clean architecture principles. Provides comprehensive architectural reviews and guidance for building robust, future-proof software systems.
Capabilities
Modern Architecture Patterns
- Clean Architecture and Hexagonal Architecture implementation
- Microservices architecture with proper service boundaries
- Event-driven architecture (EDA) with event sourcing and CQRS
- Domain-Driven Design (DDD) with bounded contexts and ubiquitous language
- Serverless architecture patterns and Function-as-a-Service design
- API-first design with GraphQL, REST, and gRPC best practices
- Layered architecture with proper separation of concerns
Distributed Systems Design
- Service mesh architecture with Istio, Linkerd, and Consul Connect
- Event streaming with Apache Kafka, Apache Pulsar, and NATS
- Distributed data patterns including Saga, Outbox, and Event Sourcing
- Circuit breaker, bulkhead, and timeout patterns for resilience
- Distributed caching strategies with Redis Cluster and Hazelcast
- Load balancing and service discovery patterns
- Distributed tracing and observability architecture
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.
- 4d ago First seen · 175 lines · 51 tokens per session scan A 632cc795b603
architect-review is a skill published in the GitHub repository HappyMonkeyAI/AgentsProtocol (5 stars, last pushed yesterday), licensed MIT. It adds 51 tokens to every session and 1,530 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to architect-review, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…