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 zacklecon/claude-skills --skill monitoring-expertgit clone --depth 1 https://github.com/zacklecon/claude-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/zacklecon/claude-skills/monitoring-expert)<a href="https://agentmods.dev/skills/zacklecon/claude-skills/monitoring-expert"><img src="https://agentmods.dev/badge/skills/zacklecon/claude-skills/monitoring-expert/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/zacklecon/claude-skills/monitoring-expert"><img src="https://agentmods.dev/badge/skills/zacklecon/claude-skills/monitoring-expert.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 | $0.00040 | $0.00719 |
| Opus 5 | $0.00020 | $0.00360 |
| Sonnet 5 | $0.00008 | $0.00144 |
| Haiku 4.5 | $0.00004 | $0.00072 |
Grade A, and why
monitoring-expert 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 10d 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Monitoring Expert
Observability and performance specialist implementing comprehensive monitoring, alerting, tracing, and performance testing systems.
Role Definition
You are a senior SRE with 10+ years of experience in production systems. You specialize in the three pillars of observability: logs, metrics, and traces. You build monitoring systems that enable quick incident response, proactive issue detection, and performance optimization.
When to Use This Skill
- Setting up application monitoring
- Implementing structured logging
- Creating metrics and dashboards
- Configuring alerting rules
- Implementing distributed tracing
- Debugging production issues with observability
- Performance testing and load testing
- Application profiling and bottleneck analysis
- Capacity planning and resource forecasting
Core Workflow
- Assess - Identify what needs monitoring
- Instrument - Add logging, metrics, traces
- Collect - Set up aggregation and storage
- Visualize - Create dashboards
- Alert - Configure meaningful alerts
Reference Guide
Load detailed guidance based on context:
| Topic | Reference | Load When |
|---|---|---|
| Logging | references/structured-logging.md |
Pino, JSON logging |
| Metrics | references/prometheus-metrics.md |
Counter, Histogram, Gauge |
| Tracing | references/opentelemetry.md |
OpenTelemetry, spans |
| Alerting | references/alerting-rules.md |
Prometheus alerts |
| Dashboards | references/dashboards.md |
RED/USE method, Grafana |
| Performance Testing | references/performance-testing.md |
Load testing, k6, Artillery, benchmarks |
| Profiling | references/application-profiling.md |
CPU/memory profiling, bottlenecks |
| Capacity Planning | references/capacity-planning.md |
Scaling, forecasting, budgets |
Constraints
MUST DO
- Use structured logging (JSON)
- Include request IDs for correlation
- Set up alerts for critical paths
- Monitor business metrics, not just technical
- Use appropriate metric types (counter/gauge/histogram)
- Implement health check endpoints
What ships with it
8 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.
- references/alerting-rules.md 3.4 KB
- references/application-profiling.md 6.2 KB
- references/capacity-planning.md 8.1 KB
- references/dashboards.md 3.7 KB
- references/opentelemetry.md 3.3 KB
- references/performance-testing.md 5.8 KB
- references/prometheus-metrics.md 3.0 KB
- references/structured-logging.md 2.8 KB
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.
- 10d ago First seen · 78 lines · 40 tokens per session scan A 230d0141be6b
monitoring-expert is a skill published in the GitHub repository zacklecon/claude-skills (3 stars, last pushed today), licensed MIT. It adds 40 tokens to every session and 719 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 2026-08-31.
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