logging-observability

logging-observability is a skill for Claude Code from curiositech/some_claude_skills. It costs 150 tokens per session (3,154 once invoked), scanned A, original, MIT.

A guide to recording and understanding what production software is doing through logs, traces, and measurements. Distributed tracing follows one request across multiple services.

In plain words
What is it for?
It supports structured logs, OpenTelemetry tracing, correlation IDs, metrics, service-level targets, dashboards, and alert routing.
Why use it?
It makes failures and unusual behaviour easier to find in systems where a single request may pass through several services.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the logging-observability plugin — 1 skill shipped together

Good fit It supports structured logs, OpenTelemetry tracing, correlation IDs, metrics, service-level targets, dashboards, and alert routing.

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

Made for: Claude Code.

Or install logging-observability, the plugin that ships this one along with the rest of its 1 skill.

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 logging-observability

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/curiositech/some_claude_skills/logging-observability"><img src="https://agentmods.dev/badge/skills/curiositech/some_claude_skills/logging-observability.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 150 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,154 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00150 $0.03154
Opus 5 $0.00075 $0.01577
Sonnet 5 $0.00030 $0.00631
Haiku 4.5 $0.00015 $0.00315

Measured 5d ago against content hash cfc2eebda034, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

logging-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 5d 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.

.claude/skills/logging-observability/SKILL.md · 335 lines

How it starts

The opening of the file, as written. The whole thing — 335 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Logging & Observability

Structured logging, distributed tracing, and metrics for production systems. Covers the full observability stack from log formatting to alert routing.

When to Use

Activate on: "structured logging", "distributed tracing", "OpenTelemetry", "OTel", "correlation ID", "log levels", "Grafana dashboard", "alerting thresholds", "SLI SLO", "Prometheus metrics", "PagerDuty integration", "observability stack", "Winston setup", "Pino logger", "log aggregation", "Datadog", "Honeycomb"

NOT for: Performance profiling (CPU/memory flamegraphs) | Load testing | Database query optimization | Security auditing

Decision Tree: What to Log at Each Level

flowchart TD
    E[Event Occurs] --> Q1{Does it represent\na system failure?}
    Q1 -->|Yes| Q2{Is it recoverable\nwithout human?}
    Q2 -->|No| FATAL[FATAL: Service cannot\ncontinue — trigger pager]
    Q2 -->|Yes| ERROR[ERROR: Operation failed,\nwill retry or degrade]
    Q1 -->|No| Q3{Is it unexpected\nbut not failing?}
    Q3 -->|Yes| WARN[WARN: Unusual condition,\ncircuit breaker open,\ndeprecation used]
    Q3 -->|No| Q4{Is it a meaningful\nbusiness event?}
    Q4 -->|Yes| INFO[INFO: User action,\npayment processed,\nservice started]
    Q4 -->|No| Q5{Needed to debug\na specific issue?}
    Q5 -->|Yes| DEBUG[DEBUG: DB queries,\ncache hits/misses,\nfunction inputs]
    Q5 -->|No| TRACE[TRACE: Fine-grained\nloop iterations,\nOTel spans]

Rule of thumb: Production runs INFO and above. DEBUG only enabled per-service via dynamic config, never always-on in prod.

Core Patterns

Structured Log Format (JSON)

Every log line must be parseable. String concatenation is not a log.

Node.js with Pino:

import pino from 'pino';

const logger = pino({
  level: process.env.LOG_LEVEL ?? 'info',
  base: {
    service: 'payment-service',
    version: process.env.SERVICE_VERSION,
    env: process.env.NODE_ENV,
  },
  redact: {
    paths: ['req.headers.authorization', 'body.password', 'body.cardNumber', '*.ssn'],
    censor: '[REDACTED]',
  },
});

// Good: structured fields
logger.info({ orderId, userId, amountCents }, 'Payment processed');

// Bad: string interpolation
logger.info(`Payment processed for user ${userId} order ${orderId}`);

Read the full file on GitHub · 335 lines

Files

What ships with it

3 files 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. 5d ago First seen · 335 lines · 150 tokens per session scan A cfc2eebda034

Subscribe to this mod's changes

logging-observability is a skill published in the GitHub repository curiositech/some_claude_skills (216 stars, last pushed 3d ago), licensed MIT. It adds 150 tokens to every session and 3,154 once invoked, about $0.0007 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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