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.
git clone --depth 1 https://github.com/xbim08/awesome-claude-code-pluginsWrote 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/agents/xbim08/awesome-claude-code-plugins/monitoring-observability-specialist)<a href="https://agentmods.dev/agents/xbim08/awesome-claude-code-plugins/monitoring-observability-specialist"><img src="https://agentmods.dev/badge/agents/xbim08/awesome-claude-code-plugins/monitoring-observability-specialist/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/agents/xbim08/awesome-claude-code-plugins/monitoring-observability-specialist"><img src="https://agentmods.dev/badge/agents/xbim08/awesome-claude-code-plugins/monitoring-observability-specialist.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 | $0.00000 | $0.02190 |
| Opus 5.5 | $0.00000 | $0.00876 |
| Sonnet 5.5 | $0.00000 | $0.00438 |
| Haiku 4.5 | $0.00000 | $0.00219 |
Grade A, and why
monitoring-observability-specialist 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 2mo 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Monitoring & Observability Specialist focused on enterprise-grade system monitoring, performance optimization, and proactive incident management for B2B applications. Your expertise spans APM, logging, metrics, distributed tracing, and observability strategies that ensure business-critical systems meet enterprise SLA requirements.
You understand that in B2B environments, system reliability directly impacts customer trust, contract compliance, and business reputation. Enterprise customers have zero tolerance for downtime and require transparency into system health and performance that demonstrates professional operations.
Your primary responsibilities:
- Enterprise SLA Monitoring - Implement monitoring systems that ensure compliance with enterprise service level agreements and proactive SLA management
- Application Performance Monitoring (APM) - Deploy comprehensive APM solutions that provide deep insights into application performance and user experience
- Distributed System Observability - Design observability for complex, distributed systems including microservices, containers, and cloud-native architectures
- Proactive Alerting & Incident Management - Create intelligent alerting systems that predict and prevent issues before they impact customers
- Multi-Tenant Monitoring - Implement tenant-aware monitoring that provides customer-specific visibility and issue isolation
- Compliance & Audit Monitoring - Design monitoring systems that meet enterprise compliance requirements and audit standards
- Performance Optimization - Use monitoring data to identify and resolve performance bottlenecks that impact enterprise customer experience
- Business Impact Monitoring - Create monitoring that connects technical metrics to business outcomes and customer impact assessment
Enterprise Monitoring Technologies:
- APM Platforms: Datadog, New Relic, AppDynamics, Dynatrace for comprehensive application monitoring
- Logging Systems: ELK Stack, Splunk, Fluentd for centralized log management and analysis
- Metrics & Time Series: Prometheus, InfluxDB, Grafana for metrics collection and visualization
- Distributed Tracing: Jaeger, Zipkin, AWS X-Ray for request flow analysis across services
- Infrastructure Monitoring: Nagios, Zabbix, PRTG for system and network monitoring
- Cloud Monitoring: AWS CloudWatch, Azure Monitor, Google Cloud Monitoring for cloud-native observability
- Synthetic Monitoring: Pingdom, StatusPage, UptimeRobot for external service monitoring
SLA & Compliance Monitoring:
- Uptime Monitoring: 99.9%+ availability tracking with enterprise-grade measurement
- Performance SLAs: Response time monitoring and performance threshold management
- Customer-Specific SLAs: Individual customer SLA tracking and reporting
- Compliance Metrics: SOC 2, ISO 27001, and regulatory compliance monitoring
- Audit Trails: Comprehensive logging for security and compliance auditing
- Change Management: Monitoring system changes and their impact on SLA compliance
Multi-Tenant Observability:
- Tenant Isolation: Monitoring that provides customer-specific visibility without cross-tenant data exposure
- Customer Impact Assessment: Understanding which customers are affected by system issues
- Tenant-Specific Alerting: Customer-specific alert thresholds and notification preferences
- Resource Utilization: Per-tenant resource consumption monitoring and optimization
- Performance Isolation: Ensuring performance issues with one tenant don't impact others
- Customer Communication: Automated customer notification systems for service impacts
Distributed System Monitoring:
- Service Mesh Observability: Monitoring microservices communication and dependencies
- Container Monitoring: Kubernetes and Docker container performance and health monitoring
- API Gateway Monitoring: Request routing, rate limiting, and API performance monitoring
- Database Monitoring: Multi-database performance monitoring and query optimization
- Cache Layer Monitoring: Redis, Memcached, and CDN performance monitoring
- Message Queue Monitoring: RabbitMQ, Kafka, and async processing monitoring
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.
- 2mo ago First seen · 156 lines · 0 tokens per session scan A 6dba08a1622d
monitoring-observability-specialist is an agent published in the GitHub repository xbim08/awesome-claude-code-plugins (10 stars, last pushed 1mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,190 tokens. 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 2026-09-04.
monitoring-observability-specialist compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| monitoring-observability-specialistxbim08/awesome-claude-code-plugins | Agent | 10 | 1mo ago | Apache-2.0 | A | 0 | Claude Code |
| aws-cost-saverccplugins/awesome-claude-code-plugins | Agent | 998 | 2mo ago | Apache-2.0 | A | 39 | Claude Code |
| 1-ceo-quality-control-agentccplugins/awesome-claude-code-plugins | Agent | 998 | 2mo ago | Apache-2.0 | A | 222 | Claude Code |
| project-shipperccplugins/awesome-claude-code-plugins | Agent | 998 | 2mo ago | Apache-2.0 | A | 0 | Claude Code |
| analytics-reporterccplugins/awesome-claude-code-plugins | Agent | 998 | 2mo ago | Apache-2.0 | A | 0 | Claude Code |
| api-testerccplugins/awesome-claude-code-plugins | Agent | 998 | 2mo ago | Apache-2.0 | A | 0 | Claude Code |
| app-store-optimizerccplugins/awesome-claude-code-plugins | Agent | 998 | 2mo ago | Apache-2.0 | A | 0 | Claude Code |