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 ArieGoldkin/ai-agent-hub --skill observability-monitoringgit clone --depth 1 https://github.com/ArieGoldkin/ai-agent-hubWrote 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/ariegoldkin/ai-agent-hub/observability-monitoring)<a href="https://agentmods.dev/skills/ariegoldkin/ai-agent-hub/observability-monitoring"><img src="https://agentmods.dev/badge/skills/ariegoldkin/ai-agent-hub/observability-monitoring/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/ariegoldkin/ai-agent-hub/observability-monitoring"><img src="https://agentmods.dev/badge/skills/ariegoldkin/ai-agent-hub/observability-monitoring.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 | $0.00017 | $0.01278 |
| Opus 5 | $0.00009 | $0.00639 |
| Sonnet 5 | $0.00003 | $0.00256 |
| Haiku 4.5 | $0.00002 | $0.00128 |
Grade A, and why
Observability & Monitoring 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 12d 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Observability & Monitoring Skill
Comprehensive frameworks for implementing observability including structured logging, metrics, distributed tracing, and alerting.
When to Use
- Setting up application monitoring
- Implementing structured logging
- Adding metrics and dashboards
- Configuring distributed tracing
- Creating alerting rules
- Debugging production issues
Three Pillars of Observability
┌─────────────────┬─────────────────┬─────────────────┐
│ LOGS │ METRICS │ TRACES │
├─────────────────┼─────────────────┼─────────────────┤
│ What happened │ How is system │ How do requests │
│ at specific │ performing │ flow through │
│ point in time │ over time │ services │
└─────────────────┴─────────────────┴─────────────────┘
Structured Logging
Log Levels
| Level | Use Case |
|---|---|
| ERROR | Unhandled exceptions, failed operations |
| WARN | Deprecated API, retry attempts |
| INFO | Business events, successful operations |
| DEBUG | Development troubleshooting |
Best Practice
// Good: Structured with context
logger.info('User action completed', {
action: 'purchase',
userId: user.id,
orderId: order.id,
duration_ms: 150
});
// Bad: String interpolation
logger.info(`User ${user.id} completed purchase`);
See
templates/structured-logging.tsfor Winston setup and request middleware
Metrics Collection
RED Method (Rate, Errors, Duration)
Essential metrics for any service:
- Rate - Requests per second
- Errors - Failed requests per second
- Duration - Request latency distribution
Prometheus Buckets
// HTTP request latency
buckets: [0.01, 0.05, 0.1, 0.5, 1, 2, 5]
// Database query latency
buckets: [0.001, 0.01, 0.05, 0.1, 0.5, 1]
See
templates/prometheus-metrics.tsfor full metrics configuration
Distributed Tracing
OpenTelemetry Setup
Auto-instrument common libraries:
- Express/HTTP
- PostgreSQL
- Redis
What ships with it
5 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.
- 12d ago First seen · 191 lines · 17 tokens per session scan A 0f21f74dae56
Observability & Monitoring is a skill published in the GitHub repository ArieGoldkin/ai-agent-hub (11 stars, last pushed 9mo ago), licensed MIT. It adds 17 tokens to every session and 1,278 once invoked, about $0.0001 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 2026-08-30.
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