observability

observability is a skill for Claude Code, Codex from PrabhdeepSingh/claude-plugins. It costs 88 tokens per session (2,394 once invoked), scanned A, original, MIT.

A set of guidance for adding service monitoring, including measurements, request traces, error capture, health checks, and alerts. Telemetry is recorded information about how software runs.

In plain words
What is it for?
Use it when building services, endpoints, or background jobs, or when adding monitoring, logging, health checks, dashboards, or alerts.
Why use it?
It helps you answer whether a service is working, failing, slow, or affecting particular users. This makes production problems easier to investigate.

Skill for Claude CodeCodex

Part of the sonu plugin — 26 skills, 3 commands shipped together

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 skills/prabhdeepsingh/claude-plugins/observability
Any agent
npx skills add PrabhdeepSingh/claude-plugins --skill observability
Clone the repo
git clone --depth 1 https://github.com/PrabhdeepSingh/claude-plugins

Made for: Claude Code, Codex.

Or install sonu, the plugin that ships this one along with the rest of its 26 skills, 3 commands.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/prabhdeepsingh/claude-plugins/observability.svg)](https://agentmods.dev/skills/prabhdeepsingh/claude-plugins/observability)
Your own site
<a href="https://agentmods.dev/skills/prabhdeepsingh/claude-plugins/observability"><img src="https://agentmods.dev/badge/skills/prabhdeepsingh/claude-plugins/observability.svg" alt="Measured on agentmods" height="20"></a>
Per session 88 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,394 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 $0.00088 $0.02394
Opus 5 $0.00044 $0.01197
Sonnet 5 $0.00018 $0.00479
Haiku 4.5 $0.00009 $0.00239

Measured 3d ago against content hash 69b92fff3753, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

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 3d 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.

sonu/skills/observability/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Observability — instrument for the question you'll ask at 2am

The [[debugging]] skill's first production move is "pull the real event." That move only works if someone instrumented the service before it broke — and that someone is you, now, while writing it. You can't debug what you didn't record, and you can't retrofit telemetry onto an incident that already happened. The bar: every service answers four questions without anyone SSHing anywhere — is it up, is it erroring, is it slow, and for whom?

How to apply this

Instrumentation is part of the feature, not a follow-up: a new endpoint ships with its metrics, error capture, and trace context wired, the same way it ships with tests. Run the self-check before calling any service change done.

Define "working" before instrumenting. Section 1's four questions are the per-operation floor every service owes; on top of them, write down 2–4 questions an on-call engineer will ask about this feature specifically ("is the retry actually recovering payments?", "which provider is slow?") — every signal you add beyond the floor must help answer one. Telemetry without a question is noise: if you can't name the questions, you'll log everything and learn nothing. The division of labor, as a rule of thumb: metrics tell you that something is wrong, traces tell you where, logs tell you why.


1. The four questions drive what you instrument

For every operation a service performs (each endpoint, each job, each consumer), emit enough to answer:

  • Traffic — how often is this happening? (a counter)
  • Errors — how often is it failing, split by kind? (a counter with a failure label)
  • Latency — how long does it take, as a distribution? (a histogram — averages hide the slow tail where users actually live)
  • Saturation — for resources (pools, queues, memory): how close to full? (a gauge)

If an operation emits these four, most incidents are diagnosable from a dashboard. If it emits none, every incident starts with "let's add logging and wait for it to happen again" — the most expensive sentence in operations.

Read the full file on GitHub · 96 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. 3d ago First seen · 96 lines · 88 tokens per session scan A 69b92fff3753

Subscribe to this mod's changes

observability is a skill published in the GitHub repository PrabhdeepSingh/claude-plugins (3 stars, last pushed 4d ago), licensed MIT. It adds 88 tokens to every session and 2,394 once invoked, about $0.0004 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 2026-08-31.

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