layered-logging-and-alerting-patterns

layered-logging-and-alerting-patterns is a skill for Claude Code from shennawardana23/skillme. It costs 95 tokens per session (1,240 once invoked), scanned A, original, Apache-2.0.

A guide to services where one logging call sends information to several places, such as local logs, error tracking, centralized log storage, and chat alerts.

In plain words
What is it for?
Use it when reviewing logging behavior, tracing alert side effects, handling asynchronous log delivery, or changing a service's error reporting.
Why use it?
It prevents accidental loss of monitoring or on-call alerts when a log statement is changed or removed.

Skill for Claude Code

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

Part of the skillme plugin — 137 skills, 2 commands shipped together

Good fit Use it when reviewing logging behavior, tracing alert side effects, handling asynchronous log delivery, or changing a service's error reporting.

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Install with agentmods
npx agentmods add skills/shennawardana23/skillme/layered-logging-and-alerting-patterns
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 shennawardana23/skillme --skill layered-logging-and-alerting-patterns
Clone the repo
git clone --depth 1 https://github.com/shennawardana23/skillme

Made for: Claude Code.

Or install skillme, the plugin that ships this one along with the rest of its 137 skills, 2 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 layered-logging-and-alerting-patterns

README.md
[![agentmods](https://agentmods.dev/badge/skills/shennawardana23/skillme/layered-logging-and-alerting-patterns/github.svg)](https://agentmods.dev/skills/shennawardana23/skillme/layered-logging-and-alerting-patterns)
Your own site
<a href="https://agentmods.dev/skills/shennawardana23/skillme/layered-logging-and-alerting-patterns"><img src="https://agentmods.dev/badge/skills/shennawardana23/skillme/layered-logging-and-alerting-patterns/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 layered-logging-and-alerting-patterns

Your own site · 80×15
<a href="https://agentmods.dev/skills/shennawardana23/skillme/layered-logging-and-alerting-patterns"><img src="https://agentmods.dev/badge/skills/shennawardana23/skillme/layered-logging-and-alerting-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 95 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,240 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 $0.00095 $0.01240
Opus 5 $0.00048 $0.00620
Sonnet 5 $0.00019 $0.00248
Haiku 4.5 $0.00010 $0.00124

Measured 9d ago against content hash e95e54e671cc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

layered-logging-and-alerting-patterns 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 9d 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/layered-logging-and-alerting-patterns/SKILL.md · 111 lines

How it starts

The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Layered Logging and Alerting

In some services, a single logger.Error(...) call is not "just a log line" — it can simultaneously capture an event to an error tracker, ship the log to a centralized collection endpoint, and (for certain severities or subsystems) fire a chat/webhook alert. Treating a call site as if it only writes local output is the source of most surprising regressions in this shape of system — the fix here is understanding what a given log call actually fans out to before changing or removing it.

A log call can be a multi-sink side effect

func Errorf(ctx context.Context, format string, args ...any) {
    msg := fmt.Sprintf(format, args...)
    logToLocalOutput(msg)
    captureToErrorTracker(ctx, msg)        // e.g. Sentry
    go sendToCentralizedLogEndpoint(msg)   // async, fire-and-forget by design
}

Before removing or "simplifying" a logging call in a codebase with this shape, check what it actually does — an apparently-redundant log line can be the only thing populating an external dashboard or triggering an on-call alert; deleting it silently removes that signal with no local indication anything changed.

Async side effects need a flush guarantee on exit paths

If a log call ships data asynchronously (a background goroutine posting to an external endpoint), a process that exits immediately after logging a fatal error can terminate before that goroutine's request completes, silently losing the log. A deliberate short delay before actually terminating (after a Fatal/Panic-style log call specifically) is a real, intentional pattern to give an in-flight async log delivery time to finish — not dead code or an accidental performance issue to "optimize away."

Sampling and filtering are usually deliberate, not accidental

Error-tracking integrations commonly sample by environment (log everything in development, sample a smaller percentage in production to control volume/cost) and filter certain error classes before sending (a known- noisy, low-value error message excluded via a beforeSend-style hook). Both are typically deliberate operational decisions — verify the actual current sampling rate and any filter rules before assuming an error "isn't being tracked" is itself a bug, versus a documented filtering choice.

Read the full file on GitHub · 111 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. 9d ago First seen · 111 lines · 95 tokens per session scan A e95e54e671cc

Subscribe to this mod's changes

layered-logging-and-alerting-patterns is a skill published in the GitHub repository shennawardana23/skillme (2 stars, last pushed 15d ago), licensed Apache-2.0. It adds 95 tokens to every session and 1,240 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 2026-09-03.

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