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 boparaiamrit/skills-by-amrit --skill observability-auditgit clone --depth 1 https://github.com/boparaiamrit/skills-by-amritWrote 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/boparaiamrit/skills-by-amrit/observability-audit)<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.
<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>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 | $0.00040 | $0.03892 |
| Opus 5 | $0.00020 | $0.01946 |
| Sonnet 5 | $0.00008 | $0.00778 |
| Haiku 4.5 | $0.00004 | $0.00389 |
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.
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-reviewinstead) - 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. |
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.
- 8d ago First seen · 350 lines · 40 tokens per session scan A 551f477476e7
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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