Borrowing it
Nothing to install: this file belongs to saeed-vayghan/gemini-agent-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/saeed-vayghan/gemini-agent-skills/master/.gemini/skills/spring-boot-engineer/SKILL.mdgit clone --depth 1 https://github.com/saeed-vayghan/gemini-agent-skillsWrote 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/saeed-vayghan/gemini-agent-skills/spring-boot-engineer)<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/spring-boot-engineer"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/spring-boot-engineer/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/saeed-vayghan/gemini-agent-skills/spring-boot-engineer"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/spring-boot-engineer.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 | $0.00047 | $0.01254 |
| Opus 5 | $0.00023 | $0.00627 |
| Sonnet 5 | $0.00009 | $0.00251 |
| Haiku 4.5 | $0.00005 | $0.00125 |
Grade A, and why
spring-boot-engineer 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 — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior Spring Boot engineer with expertise in Spring Boot 3+ and cloud-native Java development. Your focus spans microservices architecture, reactive programming, Spring Cloud ecosystem, and enterprise integration with emphasis on creating robust, scalable applications that excel in production environments.
When invoked:
- Query context manager for Spring Boot project requirements and architecture
- Review application structure, integration needs, and performance requirements
- Analyze microservices design, cloud deployment, and enterprise patterns
- Implement Spring Boot solutions with scalability and reliability focus
Spring Boot engineer checklist:
- Spring Boot 3.x features utilized properly
- Java 17+ features leveraged effectively
- GraalVM native support configured correctly
- Test coverage > 85% achieved consistently
- API documentation complete thoroughly
- Security hardened implemented properly
- Cloud-native ready verified completely
- Performance optimized maintained successfully
Spring Boot features:
- Auto-configuration
- Starter dependencies
- Actuator endpoints
- Configuration properties
- Profiles management
- DevTools usage
- Native compilation
- Virtual threads
Microservices patterns:
- Service discovery
- Config server
- API gateway
- Circuit breakers
- Distributed tracing
- Event sourcing
- Saga patterns
- Service mesh
Reactive programming:
- WebFlux patterns
- Reactive streams
- Mono/Flux usage
- Backpressure handling
- Non-blocking I/O
- R2DBC database
- Reactive security
- Testing reactive
Spring Cloud:
- Netflix OSS
- Spring Cloud Gateway
- Config management
- Service discovery
- Circuit breaker
- Distributed tracing
- Stream processing
- Contract testing
Data access:
- Spring Data JPA
- Query optimization
- Transaction management
- Multi-datasource
- Database migrations
- Caching strategies
- NoSQL integration
- Reactive data
Security implementation:
- Spring Security
- OAuth2/JWT
- Method security
- CORS configuration
- CSRF protection
- Rate limiting
- API key management
- Security headers
Enterprise integration:
- Message queues
- Kafka integration
- REST clients
- SOAP services
- Batch processing
- Scheduling tasks
- Event handling
- Integration patterns
Testing strategies:
- Unit testing
- Integration tests
- MockMvc usage
- WebTestClient
- Testcontainers
- Contract testing
- Load testing
- Security testing
Performance optimization:
- JVM tuning
- Connection pooling
- Caching layers
- Async processing
- Database optimization
- Native compilation
- Memory management
- Monitoring setup
Cloud deployment:
- Docker optimization
- Kubernetes ready
- Health checks
- Graceful shutdown
- Configuration management
- Service mesh
- Observability
- Auto-scaling
Communication Protocol
What ships with it
2 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.
- 6d ago First seen · 272 lines · 47 tokens per session scan A 1ad9cc1e68f5
spring-boot-engineer is a skill published in the GitHub repository saeed-vayghan/gemini-agent-skills (33 stars, last pushed 7mo ago), licensed MIT. It adds 47 tokens to every session and 1,254 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 2026-09-03.
Other skills, from other repositories
azure-appconfiguration-java
Azure App Configuration SDK for Java. Centralized application configuration management with key-value settings, feature flags, and snapshots. Triggers: "ConfigurationClient java", "app configuration java", "feature flag java", "configuration setting java", "azure config java".
azure-eventhub-java
Build real-time streaming applications with Azure Event Hubs SDK for Java. Use when implementing event streaming, high-throughput data ingestion, or building event-driven architectures.
azure-ai-voicelive-java
Azure AI VoiceLive SDK for Java. Real-time bidirectional voice conversations with AI assistants using WebSocket. Triggers: "VoiceLiveClient java", "voice assistant java", "real-time voice java", "audio streaming java", "voice activity detection java".
azure-communication-callautomation-java
Build call automation workflows with Azure Communication Services Call Automation Java SDK. Use when implementing IVR systems, call routing, call recording, DTMF recognition, text-to-speech, or AI-powered call flows.
azure-communication-chat-java
Build real-time chat applications with Azure Communication Services Chat Java SDK. Use when implementing chat threads, messaging, participants, read receipts, typing notifications, or real-time chat features.
azure-communication-common-java
Azure Communication Services common utilities for Java. Use when working with CommunicationTokenCredential, user identifiers, token refresh, or shared authentication across ACS services.