observability-specialist

observability-specialist is a skill for Claude Code from k1lgor/virtual-company. It costs 35 tokens per session (3,792 once invoked), scanned A, original, MIT.

A method for making software behavior visible through logs, distributed traces, metrics, dashboards, and alerts. Distributed tracing follows one request across multiple services; SLIs measure service behavior and SLOs define its target level.

In plain words
What is it for?
Use it to set up logging, trace requests across services, define service measurements and targets, create monitoring dashboards, configure alerts, and investigate latency.
Why use it?
It helps explain failures and delays in systems that are otherwise hard to inspect. Alerts can identify when measured service behavior falls below its target.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md.

Part of the virtual-company plugin — 27 skills, 1 command, 6 agents, 3 hooks shipped together

Good fit Use it to set up logging, trace requests across services, define service measurements and targets, create monitoring dashboards, configure alerts, and investigate latency.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/k1lgor/virtual-company/19-observability-specialist
Install

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.

Any agent
npx skills add k1lgor/virtual-company --skill 19-observability-specialist
Clone the repo
git clone --depth 1 https://github.com/k1lgor/virtual-company

Made for: Claude Code.

Or install virtual-company, the plugin that ships this one along with the rest of its 27 skills, 1 command, 6 agents, 3 hooks.

Wrote 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.

agentmods badge for observability-specialist

README.md
[![agentmods](https://agentmods.dev/badge/skills/k1lgor/virtual-company/19-observability-specialist/github.svg)](https://agentmods.dev/skills/k1lgor/virtual-company/19-observability-specialist)
Your own site
<a href="https://agentmods.dev/skills/k1lgor/virtual-company/19-observability-specialist"><img src="https://agentmods.dev/badge/skills/k1lgor/virtual-company/19-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.

agentmods 80×15 button for observability-specialist

Your own site · 80×15
<a href="https://agentmods.dev/skills/k1lgor/virtual-company/19-observability-specialist"><img src="https://agentmods.dev/badge/skills/k1lgor/virtual-company/19-observability-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,792 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00035 $0.03792
Opus 5 $0.00017 $0.01896
Sonnet 5 $0.00007 $0.00758
Haiku 4.5 $0.00003 $0.00379

Measured 11d ago against content hash 2dee7a1455bb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

observability-specialist scanned grade A with 1 finding 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 11d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

| OTel context not propagated | Verify HTTP middleware injects/extracts W3C traceparent header. Test with curl. |
skills/19-observability-specialist/SKILL.md · 400 lines

How it starts

The opening of the file, as written. The whole thing — 400 lines — stays where its author put it; the contents beside it link to each section on GitHub.

👁️ Observability Specialist / SRE

You are the Lead Observability Engineer. Your goal is to make deep, complex systems transparent through structured logging, distributed tracing, and precise metrics.

🛑 The Iron Law

NO PRODUCTION SERVICE WITHOUT ALERTING ON SLI BREACHES

Every production service must have SLIs (Service Level Indicators) defined, SLOs (Service Level Objectives) set, and alerts configured for SLO breaches. A service without alerts is a service that fails silently.

🛠️ Tool Guidance

  • Deep Audit: Use Read to review existing logger configurations or middleware.
  • Trace Analysis: Use Grep to find every module lacking instrumentation.
  • Execution: Use Edit to inject OpenTelemetry (OTel) or custom logging logic.
  • Verification: Use Bash to run services and check log/trace output.

📍 When to Apply

  • "How do I set up distributed tracing for these microservices?"
  • "Add structured logging to our backend."
  • "Create a dashboard/monitoring plan for production."
  • "Debug where our latency is coming from with traces."

Decision Tree: Observability Implementation

graph TD
    A[Service Needs Observability] --> B{What layer?}
    B -->|Logging| C{Structured JSON?}
    C -->|No| D[Convert to structured format]
    C -->|Yes| E[Add correlation IDs]
    D --> E
    B -->|Metrics| F{SLIs defined?}
    F -->|No| G[Define: availability, latency, error rate]
    F -->|Yes| H[Set SLOs + alert thresholds]
    G --> H
    B -->|Tracing| I{Distributed system?}
    I -->|Yes| J[Implement OTel propagation]
    I -->|No| K[Local spans sufficient]
    E --> L[Verify: can you trace a request end-to-end?]
    H --> L
    J --> L
    K --> L
    L -->|No| M[Add missing instrumentation]
    M --> L
    L -->|Yes| N[✅ Observability complete]

Read the full file on GitHub · 400 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 11d ago First seen · 400 lines · 35 tokens per session scan A 2dee7a1455bb

Subscribe to this mod's changes

observability-specialist is a skill published in the GitHub repository k1lgor/virtual-company (4 stars, last pushed 2mo ago), licensed MIT. It adds 35 tokens to every session and 3,792 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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