Install
$ agentstack add skill-cosmicstack-labs-mercury-agent-skills-microservices ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Microservices
Design and operate microservice architectures.
Service Boundaries
Bounded Context (DDD)
- Each service owns a domain concept
- Service has its own database (no DB sharing)
- Communication via API or events
- Avoid "shared" services (leads to tight coupling)
Service Sizing
- Too small: Nano-services — high overhead, hard to debug
- Too large: Distributed monolith — worst of both worlds
- Right size: Team can build, test, deploy independently
Communication Patterns
| Pattern | Type | When | |---------|------|------| | REST | Sync | Request-response, CRUD | | gRPC | Sync (fast) | Internal, high throughput | | Event | Async | Decoupled workflows | | Message Queue | Async | Buffered, reliable delivery |
Event-Driven Communication
Service A → Event Bus → Service B
→ Service C
→ Service D
Benefits: eventual consistency, loose coupling, replayability.
CQRS (Command Query Responsibility Segregation)
- Separate read and write models
- Queries go to optimized read stores (materialized views)
- Commands go to write stores (normalized)
- Eventually consistent between them
Distributed Tracing
- Correlation ID passed across all services
- Use OpenTelemetry for instrumentation
- Trace each request: Service → Queue → DB → External API
- Visualize in Jaeger or Zipkin
- Alert on traces that exceed latency SLOs
Anti-Patterns to Avoid
❌ Shared database between services ❌ Sync chains (A → B → C → D blocking) ❌ Distributed monolith (microservices but deployed together) ❌ Absent monitoring ("it works in dev") ❌ Premature decomposition (start monolith, extract carefully)
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: cosmicstack-labs
- Source: cosmicstack-labs/mercury-agent-skills
- License: MIT
- Homepage: https://skills.mercuryagent.sh
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.