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 seaworld008/Commonly-used-high-value-skills --skill observability-designergit clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-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/seaworld008/commonly-used-high-value-skills/observability-designer)<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/observability-designer"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/observability-designer/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/seaworld008/commonly-used-high-value-skills/observability-designer"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/observability-designer.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 | $0.00023 | $0.02688 |
| Opus 5 | $0.00012 | $0.01344 |
| Sonnet 5 | $0.00005 | $0.00538 |
| Haiku 4.5 | $0.00002 | $0.00269 |
Grade A, and why
observability-designer 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 5d 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 — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Observability Designer (POWERFUL)
Category: Engineering
Tier: POWERFUL
Description: Design comprehensive observability strategies for production systems including SLI/SLO frameworks, alerting optimization, and dashboard generation.
Overview
Observability Designer enables you to create production-ready observability strategies that provide deep insights into system behavior, performance, and reliability. This skill combines the three pillars of observability (metrics, logs, traces) with proven frameworks like SLI/SLO design, golden signals monitoring, and alert optimization to create comprehensive observability solutions.
Core Competencies
SLI/SLO/SLA Framework Design
- Service Level Indicators (SLI): Define measurable signals that indicate service health
- Service Level Objectives (SLO): Set reliability targets based on user experience
- Service Level Agreements (SLA): Establish customer-facing commitments with consequences
- Error Budget Management: Calculate and track error budget consumption
- Burn Rate Alerting: Multi-window burn rate alerts for proactive SLO protection
Three Pillars of Observability
Metrics
- Golden Signals: Latency, traffic, errors, and saturation monitoring
- RED Method: Rate, Errors, and Duration for request-driven services
- USE Method: Utilization, Saturation, and Errors for resource monitoring
- Business Metrics: Revenue, user engagement, and feature adoption tracking
- Infrastructure Metrics: CPU, memory, disk, network, and custom resource metrics
Logs
- Structured Logging: JSON-based log formats with consistent fields
- Log Aggregation: Centralized log collection and indexing strategies
- Log Levels: Appropriate use of DEBUG, INFO, WARN, ERROR, FATAL levels
- Correlation IDs: Request tracing through distributed systems
- Log Sampling: Volume management for high-throughput systems
Traces
- Distributed Tracing: End-to-end request flow visualization
- Span Design: Meaningful span boundaries and metadata
- Trace Sampling: Intelligent sampling strategies for performance and cost
- Service Maps: Automatic dependency discovery through traces
- Root Cause Analysis: Trace-driven debugging workflows
What ships with it
12 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.
- assets/sample_alerts.json 8.0 KB
- assets/sample_service_api.json 1.7 KB
- assets/sample_service_web.json 2.4 KB
- expected_outputs/sample_dashboard.json 19 KB
- expected_outputs/sample_slo_framework.json 22 KB
- README.md 12 KB
- references/alert_design_patterns.md 12 KB
- references/dashboard_best_practices.md 14 KB
- references/slo_cookbook.md 10 KB
- scripts/alert_optimizer.py 46 KB runs code
- scripts/dashboard_generator.py 48 KB runs code
- scripts/slo_designer.py 29 KB runs code
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.
- 5d ago Changed · -7 tokens per session 57830d644763
- 9d ago First seen · 298 lines · 30 tokens per session scan A 3c369da945cd
observability-designer is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (70 stars, last pushed 5d ago), licensed MIT. It adds 23 tokens to every session and 2,688 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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