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Python Resource Management

Checked
wshobson·vlatest·backend·MIT

Helps with Python, management as part of developing backend services and APIs workflows.

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 wshobson/agents --skill python-resource-management -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

wshobson

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 wshobson/agents at 46891e7e60.

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

Commit
46891e7e60
Manifest
plugins/python-development/skills/python-resource-management/SKILL.md
Scanned
2 files, 408 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 enables AI agents to manage system resources effectively in Python, including memory, file handles, and other limited resources. It ensures that resources are properly allocated and released, preventing leaks and improving application stability.

When to use it

  • When developing long-running Python applications that handle large datasets or open multiple files.
  • When working with external libraries that require careful resource management, such as databases or network connections.
  • In environments where memory usage must be tightly controlled, like embedded systems or cloud-based microservices.

Key capabilities

  • Automatic cleanup of resources using context managers (with statement).
  • Proper handling of file I/O operations to prevent leaks.
  • Efficient memory management through garbage collection and object lifecycle control.

Example prompts

  • "Ensure that all open files are closed properly after reading their contents."
  • "Implement a context manager for managing database connections in Python."
  • "Detect and fix potential memory leaks in this Python script."

Tips & gotchas

  • Always use the with statement when working with file or network resources to ensure they're released automatically.
  • Be cautious of circular references, which can prevent garbage collection from reclaiming unused memory.