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 kok-o/contextos-agents --skill microservicesgit clone --depth 1 https://github.com/kok-o/contextos-agentsWrote 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/kok-o/contextos-agents/microservices)<a href="https://agentmods.dev/skills/kok-o/contextos-agents/microservices"><img src="https://agentmods.dev/badge/skills/kok-o/contextos-agents/microservices/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/kok-o/contextos-agents/microservices"><img src="https://agentmods.dev/badge/skills/kok-o/contextos-agents/microservices.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 | $0.00010 | $0.01012 |
| Opus 5.5 | $0.00004 | $0.00405 |
| Sonnet 5.5 | $0.00002 | $0.00202 |
| Haiku 4.5 | $0.00001 | $0.00101 |
Grade A, and why
Microservices 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 today.
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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microservices
Overview
Distributed systems architecture standard. Enforces bounded context isolation, asynchronous event-driven messaging (Kafka, RabbitMQ), Saga distributed transactions, API gateways, and outbox patterns.
When to Use
Activate when decomposing monoliths into independent services, designing inter-service communications, or building scalable distributed systems.
Rules & Patterns
Microservices - Architecture Guide
When to Use Microservices
Use when:
- Team > 10 engineers working on the same product
- Independent deployment of components is critical
- Different components have different scaling needs
- Different components need different tech stacks
Don't use when:
- Small team (< 5 engineers)
- MVP or prototype
- No operational expertise (monitoring, tracing, deployment)
- Tight coupling between components
Core Principles
1. Single Responsibility
Each service does ONE thing well.
2. Own Your Data
Each service has its own database. No shared databases.
3. API Contracts
Services communicate through well-defined APIs. Internal implementation is hidden.
4. Autonomous Deployment
Each service can be deployed independently.
Communication Patterns
Synchronous (REST/gRPC)
- When: Request needs immediate response
- Tools: REST (HTTP), gRPC (high-performance)
- Risk: Cascading failures, latency accumulation
Asynchronous (Events/Messages)
- When: Eventual consistency is acceptable
- Tools: Kafka, RabbitMQ, Redis Streams, AWS SQS
- Benefit: Loose coupling, resilience
Saga Pattern (Distributed Transactions)
Order Service → Payment Service → Inventory Service → Shipping Service
↓ (failure)
Compensating transactions reverse each step
- Choreography (Event-Driven): Each service emits events, downstream services listen and react. Best for simple flows (≤ 3 steps) where a central coordinator adds unnecessary coupling.
- Orchestration (State Machine): A dedicated Saga Orchestrator controls the flow and explicitly triggers compensating transactions on failure (e.g.,
RefundPayment,ReleaseInventoryReservation). Mandatory for complex multi-step workflows.
What ships with it
4 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.
- today First seen · 165 lines · 10 tokens per session scan A d49efdcd8f9e
Microservices is a skill published in the GitHub repository kok-o/contextos-agents (10 stars, last pushed today), licensed Apache-2.0. It adds 10 tokens to every session and 1,012 once invoked, about $0.0000 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 2026-10-25.
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