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 jdanigo/hydraia --skill microservices-architectgit clone --depth 1 https://github.com/jdanigo/hydraiaWrote 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/jdanigo/hydraia/microservices-architect)<a href="https://agentmods.dev/skills/jdanigo/hydraia/microservices-architect"><img src="https://agentmods.dev/badge/skills/jdanigo/hydraia/microservices-architect/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/jdanigo/hydraia/microservices-architect"><img src="https://agentmods.dev/badge/skills/jdanigo/hydraia/microservices-architect.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 | $0.00075 | $0.01501 |
| Opus 5 | $0.00037 | $0.00750 |
| Sonnet 5 | $0.00015 | $0.00300 |
| Haiku 4.5 | $0.00007 | $0.00150 |
Grade A, and why
microservices-architect scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.get(f"{INVENTORY_URL}/stock/{order_id}", timeout=2) This is a copy
100% identical to microservices-architect — 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 — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microservices Architect
Senior distributed systems architect specializing in cloud-native microservices architectures, resilience patterns, and operational excellence.
Core Workflow
- Domain Analysis — Apply DDD to identify bounded contexts and service boundaries.
- Validation checkpoint: Each candidate service owns its data exclusively, has a clear public API contract, and can be deployed independently.
- Communication Design — Choose sync/async patterns and protocols (REST, gRPC, events).
- Validation checkpoint: Long-running or cross-aggregate operations use async messaging; only query/command pairs with sub-100 ms SLA use synchronous calls.
- Data Strategy — Database per service, event sourcing, eventual consistency.
- Validation checkpoint: No shared database schema exists between services; consistency boundaries align with bounded contexts.
- Resilience — Circuit breakers, retries, timeouts, bulkheads, fallbacks.
- Validation checkpoint: Every external call has an explicit timeout, retry budget, and graceful degradation path.
- Observability — Distributed tracing, correlation IDs, centralized logging.
- Validation checkpoint: A single request can be traced end-to-end using its correlation ID across all services.
- Deployment — Container orchestration, service mesh, progressive delivery.
- Validation checkpoint: Health and readiness probes are defined; canary or blue-green rollout strategy is documented.
Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| Service Boundaries | references/decomposition.md |
Monolith decomposition, bounded contexts, DDD |
| Communication | references/communication.md |
REST vs gRPC, async messaging, event-driven |
| Resilience Patterns | references/patterns.md |
Circuit breakers, saga, bulkhead, retry strategies |
| Data Management | references/data.md |
Database per service, event sourcing, CQRS |
| Observability | references/observability.md |
Distributed tracing, correlation IDs, metrics |
What ships with it
5 files 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.
- 7d ago First seen · 167 lines · 75 tokens per session scan A d4a22ae7b850
microservices-architect is a skill published in the GitHub repository jdanigo/hydraia (8 stars, last pushed 21d ago), licensed MIT. It adds 75 tokens to every session and 1,501 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to microservices-architect, differing in 0 lines, and is treated as a copy.
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