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agent-logging-standard - Production-Grade Logging for AI Agents

Defines logging levels, structured patterns, health monitoring, error handling, transport tagging, and security practices for maintainable agent code.

Tags

Updated: 2026-10-03

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Configure production logging
  • Select appropriate log levels
  • Format structured log messages
  • Monitor process health
  • Handle expected exceptions
  • Protect sensitive data
  • Tag instrument transport
  • Record audit events

Inputs

  • Source code
  • Logging configuration
  • Runtime metrics
  • Transport details
  • User action context

Outputs

  • Timestamped log files
  • Console log messages
  • Health monitoring records
  • Audit trail records
  • Transport-tagged log entries

Requirements

  • Python logging module
  • Filesystem write access
  • Runtime resource metrics for health monitoring

Source

  • Spec: SKILL.md

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logging
observability
Python
error handling
health monitoring
security compliance
audit logging
instrument automation
Configure production logging
Select appropriate log levels
Format structured log messages
Monitor process health
Source code
Logging configuration
Runtime metrics
Timestamped log files
Console log messages
Health monitoring records