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 cosmicstack-labs/mercury-agent-skills --skill monitoring-observabilitygit clone --depth 1 https://github.com/cosmicstack-labs/mercury-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/cosmicstack-labs/mercury-agent-skills/monitoring-observability)<a href="https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/monitoring-observability"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/monitoring-observability/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/cosmicstack-labs/mercury-agent-skills/monitoring-observability"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/monitoring-observability.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00029 | $0.00481 |
| Opus 5 | $0.00015 | $0.00241 |
| Sonnet 5 | $0.00006 | $0.00096 |
| Haiku 4.5 | $0.00003 | $0.00048 |
Grade A, and why
monitoring-observability 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 8d 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.
What it actually says
Monitoring & Observability
Build comprehensive observability for your systems.
The Three Pillars
1. Metrics (Prometheus)
# Instrument your app
http_requests_total{method="GET", endpoint="/api/users", status="200"} 1024
http_request_duration_seconds{quantile="0.95"} 0.235
2. Logging (Loki / ELK)
- Structured JSON logging
- Include: timestamp, level, service, trace_id, message
- Centralized log aggregation
- Log levels: DEBUG < INFO < WARN < ERROR < FATAL
3. Tracing (Jaeger / Tempo)
- Trace every request across services
- Span: individual operation with timing
- Distributed context propagation via trace ID headers
- Sample 1-10% of production traffic
Alerting (Alertmanager)
Alert Severity
| Severity | Response Time | Channel |
|---|---|---|
| Critical | Immediately | PagerDuty + SMS |
| Warning | 1 hour | Slack + Email |
| Info | Next day | Dashboard |
Golden Signals (Google SRE)
- Latency: Time to respond
- Traffic: Requests per second
- Errors: Error rate (5xx, exceptions)
- Saturation: Resource utilization
Dashboard Design (Grafana)
Rules
- 3-5 panels per row
- Time series with trend lines, not raw numbers
- RED metrics: Rate, Errors, Duration per service
- USE metrics: Utilization, Saturation, Errors per resource
- Include annotations for deployments, incidents
Best Practices
- Monitor from outside (synthetic checks)
- Monitor everything, alert on what matters
- Use SLOs to define what's "good enough"
- Test alerts (fire drills, tabletop exercises)
- Review dashboards monthly with the team
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.
- 8d ago First seen · 66 lines · 29 tokens per session scan A 94a81f8cdb80
monitoring-observability is a skill published in the GitHub repository cosmicstack-labs/mercury-agent-skills (470 stars, last pushed 17d ago), licensed MIT. It adds 29 tokens to every session and 481 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 2026-09-03.
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