logging

logging is a skill for Claude Code, Codex from arbazkhan971/godmode. It costs 64 tokens per session (2,140 once invoked), scanned A, original, MIT.

A structured logging setup for recording application events as searchable data, usually in JSON format. It includes log levels, request-tracking identifiers, privacy filtering, storage, and aggregation.

In plain words
What is it for?
Use it to plan application logs, add correlation or trace IDs, redact personal data, choose log levels, and connect logs to systems such as ELK, Loki, or CloudWatch.
Why use it?
It makes production problems easier to trace across services and helps prevent personal information from being written to logs. Centralized logs also make long-term investigation easier.

Skill for Claude CodeCodex

Part of the godmode plugin — 133 skills, 1 command, 9 agents, 3 MCP servers 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/arbazkhan971/godmode/logging
Any agent
npx skills add arbazkhan971/godmode --skill logging
Clone the repo
git clone --depth 1 https://github.com/arbazkhan971/godmode

Made for: Claude Code, Codex.

Or install godmode, the plugin that ships this one along with the rest of its 133 skills, 1 command, 9 agents, 3 MCP servers.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/arbazkhan971/godmode/logging.svg)](https://agentmods.dev/skills/arbazkhan971/godmode/logging)
Your own site
<a href="https://agentmods.dev/skills/arbazkhan971/godmode/logging"><img src="https://agentmods.dev/badge/skills/arbazkhan971/godmode/logging.svg" alt="Measured on agentmods" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,140 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 $0.00064 $0.02140
Opus 5 $0.00032 $0.01070
Sonnet 5 $0.00013 $0.00428
Haiku 4.5 $0.00006 $0.00214

Measured yesterday against content hash 79b807b39eec, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

logging 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 yesterday.

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/logging/SKILL.md · 274 lines

How it starts

The opening of the file, as written. The whole thing — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Logging — Structured Logging

Activate When

  • User invokes /godmode:logging
  • User says "structured logging", "JSON logs"
  • User says "log levels", "correlation ID", "trace ID"
  • User says "log aggregation", "ELK", "Loki"
  • User needs PII redaction or compliance-aware logging

Workflow

Step 1: Logging Assessment

# Detect current logging state
grep -rn "console\.log\|console\.error" src/ \
  --include="*.ts" 2>/dev/null | wc -l
grep -rn "log\.Println\|fmt\.Println" . \
  --include="*.go" 2>/dev/null | wc -l
grep -rn "print(\|logging\." . \
  --include="*.py" 2>/dev/null | wc -l

# Check for structured loggers
grep -r "pino\|winston\|structlog\|zerolog\|slog" \
  package.json go.mod pyproject.toml 2>/dev/null
LOGGING ASSESSMENT:
| Aspect      | Status                    |
|-------------|---------------------------|
| Format      | Unstructured / JSON       |
| Levels      | info/error only / full    |
| Context     | requestId, userId present?|
| Correlation | traceId propagated?       |
| PII         | Redacted / exposed        |
| Aggregation | stdout / ELK / Loki       |
| Retention   | Configured / none         |

IF unstructured: migrate to JSON logger
IF no correlation IDs: add middleware
IF PII in logs: add redaction layer
IF no retention policy: configure rotation

Step 2: Log Level Strategy

| Level | When to Use                  |
|-------|------------------------------|
| FATAL | Process cannot continue      |
| ERROR | Operation failed, process OK |
| WARN  | Degraded but functional      |
| INFO  | Business events, milestones  |
| DEBUG | Diagnostic detail            |

THRESHOLDS:
  Production default: INFO
  DEBUG in prod: only when explicitly enabled
  IF 404/validation fail logged as ERROR: fix to WARN
  IF > 100 ERROR/min sustained: investigate
  IF DEBUG enabled in prod > 1 hour: auto-disable

Step 3: Structured Logging Implementation

STRUCTURED LOG FORMAT (JSON):
{
  "timestamp": "ISO 8601 with timezone",
  "level": "info",
  "service": "<name>",
  "environment": "<env>",
  "version": "<semver>",
  "requestId": "<uuid>",
  "traceId": "<uuid>",
  "message": "<event description>",
  "data": { <structured fields> }
}

LIBRARIES:
  Node.js: pino (async, fast, JSON native)
  Go: slog (stdlib) or zerolog (zero-alloc)
  Python: structlog (processor pipeline)

RULES:
  Always structured fields, never string interpolation
  Always ISO 8601 timestamps with timezone
  Always include service, environment, version
  IF log line > 10KB: truncate request/response

Read the full file on GitHub · 274 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. yesterday First seen · 274 lines · 64 tokens per session scan A 79b807b39eec

Subscribe to this mod's changes

logging is a skill published in the GitHub repository arbazkhan971/godmode (26 stars, last pushed 7d ago), licensed MIT. It adds 64 tokens to every session and 2,140 once invoked, about $0.0003 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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