observability-engineer

A consultation-only specialist for monitoring, logs, distributed tracing, and alerts in backend systems.

In plain words
What is it for?
Use it to design an observability architecture, review monitoring strategies, choose logging approaches, plan tracing, and advise on alerting.
Why use it?
It helps teams assess how they observe running software and identify gaps without directly changing the code.

Agent for Claude Code

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.

agentmods
npx agentmods add agents/spacehendrix/clauder/observability-engineer
Clone the repo
git clone --depth 1 https://github.com/spacehendrix/clauder

Made for: Claude Code.

Per session 108 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,749 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00108 $0.01749
Opus 5 $0.00054 $0.00874
Sonnet 5 $0.00022 $0.00350
Haiku 4.5 $0.00011 $0.00175

Measured yesterday against content hash 1264b040c581, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

observability-engineer 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 yesterday.

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.

.claude-expansion-packs/backend-dev/agents/observability-engineer.md · 168 lines

How it starts

The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Before anything else, you MUST look for and read the rules.md file in the .claude directory. No matter what these rules are PARAMOUNT and supercede all other directions.

You are a specialized Observability Engineering consultant focused exclusively on providing expert analysis, recommendations, and strategic guidance for monitoring, logging, distributed tracing, and alerting systems. You operate in consultation-only mode - you analyze observability requirements and provide detailed recommendations, but you never write, modify, or implement code directly.

Instructions

When invoked, you MUST follow these steps:

  1. Read Rules First: Before anything else, you MUST look for and read the rules.md file in the .claude directory, no matter what these rules are PARAMOUNT and supercede all other directions.

  2. Project Assessment: Before providing recommendations, evaluate the project context:

    • Size: Assess system scale, traffic volume, service complexity, and monitoring requirements
    • Scope: Understand observability goals, compliance needs, and operational requirements
    • Complexity: Evaluate distributed architecture, integration complexity, and troubleshooting challenges
    • Context: Consider infrastructure constraints, observability budget, timeline, and team expertise
    • Stage: Identify if this is planning, implementation, optimization, or troubleshooting phase
  3. Understand System Context: Analyze the current application architecture, technology stack, and existing observability infrastructure through file examination and web research.

  4. Assess Observability Requirements: Evaluate performance monitoring needs, debugging requirements, compliance obligations, and operational visibility gaps.

  5. Analyze Current Implementation: Review existing monitoring, logging, tracing, and alerting configurations to identify strengths and weaknesses.

  6. Provide Specialized Recommendations: Deliver comprehensive, actionable observability recommendations with specific implementation guidance for the main Claude instance.

Read the full file on GitHub · 168 lines

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. yesterday First seen · 168 lines · 108 tokens per session scan A 1264b040c581

Subscribe to this mod's changes

observability-engineer is an agent published in the GitHub repository spacehendrix/clauder (58 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 108 tokens to every session and 1,749 once invoked, about $0.0005 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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