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Structlog

Checked
slanycukr·vlatest·backend

Structlog enables structured logging for your Python code, simplifying debugging and analysis by organizing log messages into a consistent format.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add slanycukr/riot-api-project --skill structlog -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

slanycukr

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned slanycukr/riot-api-project at 5e4024e417.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
5e4024e417
Manifest
.claude/skills/backend/structlog/SKILL.md
Scanned
1 file, 247 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill, structlog, provides structured logging capabilities. It allows you to easily record events and data in a consistent format, making debugging and analysis significantly easier. The logs are designed for clarity and machine readability, facilitating automated processing of log data.

When to use it

  • Debugging complex workflows: When an AI agent is exhibiting unexpected behavior, structlog can help pinpoint the source of the problem by providing detailed event records.
  • Monitoring system performance: Track key metrics and events over time to identify bottlenecks or areas for optimization within your AI agent's operations.
  • Auditing user actions: Record user interactions with an AI agent for security, compliance, or analysis purposes.
  • Analyzing data pipelines: If the agent processes data, structlog can help trace the flow of information and identify errors in transformation steps.

Key capabilities

  • Structured logging format
  • Machine-readable logs
  • Event recording
  • Data consistency

Example prompts

  • "Use structlog to record a new user signup event with their username and email."
  • "Log an error when the API request fails, including the status code and URL."
  • "Record the completion of a data processing task, noting the start and end times."

Tips & gotchas

The effectiveness of structlog relies on consistent configuration. Ensure all relevant events are logged with appropriate context to maximize its value for debugging and analysis.