observability-audit

observability-audit is a skill for Claude Code from boparaiamrit/skills-by-amrit. It costs 40 tokens per session (3,892 once invoked), scanned A, original, MIT.

A review process for a system’s logs, monitoring, alerts, error tracking, health checks, metrics, and distributed tracing. These are tools that show what a running service is doing and help explain failures.

In plain words
What is it for?
Use it before deploying a service, after incidents, while preparing to scale, or when debugging takes too long or errors are not detected promptly.
Why use it?
It helps teams find out what went wrong, when it started, where it happened, and who was affected. Better visibility reduces the time spent discovering production problems from user reports.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the skills-by-amrit plugin — 33 skills, 34 commands, 9 agents shipped together

Good fit Use it before deploying a service, after incidents, while preparing to scale, or when debugging takes too long or errors are not detected promptly.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/boparaiamrit/skills-by-amrit/observability-audit
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 boparaiamrit/skills-by-amrit --skill observability-audit
Clone the repo
git clone --depth 1 https://github.com/boparaiamrit/skills-by-amrit

Made for: Claude Code.

Or install skills-by-amrit, the plugin that ships this one along with the rest of its 33 skills, 34 commands, 9 agents.

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-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/boparaiamrit/skills-by-amrit/observability-audit/github.svg)](https://agentmods.dev/skills/boparaiamrit/skills-by-amrit/observability-audit)
Your own site
<a href="https://agentmods.dev/skills/boparaiamrit/skills-by-amrit/observability-audit"><img src="https://agentmods.dev/badge/skills/boparaiamrit/skills-by-amrit/observability-audit/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-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/boparaiamrit/skills-by-amrit/observability-audit"><img src="https://agentmods.dev/badge/skills/boparaiamrit/skills-by-amrit/observability-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,892 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00040 $0.03892
Opus 5 $0.00020 $0.01946
Sonnet 5 $0.00008 $0.00778
Haiku 4.5 $0.00004 $0.00389

Measured 8d ago against content hash 551f477476e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

observability-audit 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.

skills/observability-audit/SKILL.md · 350 lines

How it starts

The opening of the file, as written. The whole thing — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Observability Audit

Overview

If you can't observe it, you can't debug it. If you can't debug it, you can't fix it. Observability is the difference between "something is wrong" and "here's exactly what's wrong, where, since when, and for whom."

Core principle: Every production system must answer four questions at any point in time: What happened? When? Why? To whom?

The Iron Law

NO PRODUCTION SERVICE WITHOUT STRUCTURED LOGGING, HEALTH CHECKS, AND ERROR TRACKING. NO DEPLOYMENT WITHOUT MONITORING. NO ALERT WITHOUT A RUNBOOK.

When to Use

  • "Can we debug production issues?"
  • Before deploying a new service
  • After a production incident (post-mortem revealed gaps)
  • When investigation takes too long
  • When errors are discovered by users instead of alerts
  • During any codebase audit
  • Before scaling a service

When NOT to Use

  • Prototypes or throwaway experiments (basic console logging is fine)
  • Static sites with no server component
  • If you're just adding a single log line (use code-review instead)
  • If the issue is specifically performance, not visibility (use performance-audit)

Anti-Shortcut Rules

YOU CANNOT:
- Say "logging is fine" — read actual log output and verify it's structured, contextual, and actionable
- Say "we have monitoring" — show the dashboard, verify it shows real-time data, check alerting rules
- Say "errors are tracked" — verify error grouping, notification routing, and triage workflow
- Skip checking what happens when a dependency goes down — simulate failure mentally or actually
- Assume health checks work — call the health endpoint and verify the response checks REAL dependencies
- Trust that alerts work — verify the notification pipeline end-to-end (alert → channel → person)
- Say "we'll add observability later" — it's needed BEFORE production, not after the first incident

Common Rationalizations (Don't Accept These)

Rationalization Reality
"We'll add logging when something breaks" You won't know it's broken without logging. Circular dependency.
"Console.log is fine for now" Unstructured text logs are unsearchable, unfilterable, and fill up disk fast.
"We don't need distributed tracing yet" You will need it the moment your first cross-service bug appears. Retrofitting is painful.
"Nobody looks at the dashboard" Then your dashboard shows the wrong things. Fix the dashboard, don't eliminate monitoring.
"Alerts are too noisy so we ignore them" Noisy alerts are worse than no alerts. Tune them — don't disable.
"Our error rate is low enough" Low ≠ zero. One uncaught error in a payment flow is one too many.
"We know the system well enough" You won't in 6 months, and neither will the person who replaces you.

Read the full file on GitHub · 350 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. 8d ago First seen · 350 lines · 40 tokens per session scan A 551f477476e7

Subscribe to this mod's changes

observability-audit is a skill published in the GitHub repository boparaiamrit/skills-by-amrit (5 stars, last pushed 5mo ago), licensed MIT. It adds 40 tokens to every session and 3,892 once invoked, about $0.0002 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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