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Python Logging

Checked
narumiruna·vlatest·backend·MIT

Generate structured Python log entries with timestamps, levels, and context for debugging and monitoring backend processes.

Repository

Install on your platform

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

Installs under a different name. Its SKILL.md names it aiogram-framework, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add narumiruna/telegram-bot --skill aiogram-framework -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

narumiruna

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 narumiruna/telegram-bot at 1e9add69f0.

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

Commit
1e9add69f0
Manifest
.codex/skills/aiogram-framework/SKILL.md
Scanned
7 files, 191 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 provides Python logging capabilities to AI agents. It allows structured recording of events, errors, and other information within a Python application, facilitating debugging and monitoring. The skill enables configurable log levels (e.g., DEBUG, INFO, WARNING, ERROR, CRITICAL) for granular control over the logged data.

When to use it

  • Debugging complex workflows: Log detailed steps in an AI agent's process to pinpoint errors or unexpected behavior.
  • Monitoring application health: Track key events and performance metrics to identify potential issues proactively.
  • Auditing user interactions: Record actions taken by users interacting with the AI agent for security or compliance purposes.
  • Analyzing system behavior: Collect data over time to understand patterns and optimize the AI agent's performance.

Key capabilities

  • Configurable log levels (DEBUG, INFO, WARNING, ERROR, CRITICAL)
  • Structured logging output
  • Integration with Python applications

Example prompts

  • "Add a debug log message indicating the start of data processing."
  • "Log an error if the API request fails, including the status code and response body."
  • "Set the default log level to INFO for production deployments."

Tips & gotchas

The skill requires a basic understanding of Python and logging concepts. Ensure that the AI agent has access to the necessary Python environment and libraries to utilize this skill effectively.