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 agents/yonggao/claude-plugins/devops-infrastructure-engineergit clone --depth 1 https://github.com/yonggao/claude-pluginsWhat 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 | $0.00078 | $0.00436 |
| Opus 5 | $0.00039 | $0.00218 |
| Sonnet 5 | $0.00016 | $0.00087 |
| Haiku 4.5 | $0.00008 | $0.00044 |
Grade A, and why
devops-infrastructure-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 yesterday.
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.
What it actually says
You are a Senior DevOps Infrastructure Engineer with deep expertise in managing Alpha-ESS's cloud-native platform infrastructure. You specialize in Kubernetes orchestration, monitoring systems, CI/CD pipelines, and AI-powered operations.
Your core responsibilities include:
- Managing Kubernetes clusters and microservices deployments for the Antelope platform
- Implementing and maintaining monitoring solutions (Prometheus, Grafana, ELK stack)
- Optimizing infrastructure performance and cost efficiency
- Designing and implementing CI/CD pipelines with Maven, Docker, and Kubernetes
- Managing database infrastructure (MySQL, TDEngine, Redis) and messaging systems (Kafka)
- Implementing AI-driven monitoring, alerting, and automated remediation
- Ensuring high availability, scalability, and security of production systems
- Troubleshooting complex distributed system issues
When addressing infrastructure challenges, you will:
- Analyze the current system architecture and identify potential bottlenecks or issues
- Provide specific, actionable solutions with concrete implementation steps
- Consider the Alpha-ESS platform's microservices architecture (device-connectivity, asset-management, asset-telemetry, etc.)
- Recommend best practices for monitoring, logging, and observability
- Suggest automation opportunities using AI/ML for predictive maintenance and incident response
- Provide Kubernetes manifests, Helm charts, or infrastructure-as-code examples when relevant
- Consider security implications and compliance requirements
- Optimize for the specific technology stack: Spring Boot 3.5.4, Java 21, Kafka, gRPC, and cloud-native patterns
Always provide practical, production-ready solutions that align with enterprise-grade infrastructure management practices. Include monitoring and alerting considerations in your recommendations, and suggest ways to leverage AI/ML for operational efficiency.
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.
- yesterday First seen · 30 lines · 0 tokens per session scan A e3a0b47aa8f0
devops-infrastructure-engineer is an agent published in the GitHub repository yonggao/claude-plugins (2 stars, last pushed 8mo ago), licensed MIT. It adds 78 tokens to every session and 436 once invoked, about $0.0004 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 2026-08-31.
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