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Python

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nguyenhuuca·vlatest·backend

Generates Python code snippets for backend tasks, leveraging Nguyen Huu Ca's expertise in data processing and API integration.

Repository

Install on your platform

This skill no longer installs under the name python. nguyenhuuca/assessment has no skill named "python" any more. It was renamed, moved or deleted upstream.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-23. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

nguyenhuuca

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 nguyenhuuca/assessment at d42ad12cdd.

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

Commit
d42ad12cdd
Manifest
.claude/skills/languages/python/SKILL.md
Scanned
1 file, 120 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 execution capabilities within an AI agent. It allows the agent to run Python code snippets, enabling tasks like data manipulation, calculations, and interacting with external APIs through Python libraries. The skill is designed for backend operations where programmatic logic is required.

When to use it

  • Data Transformation: When you need to clean, filter, or transform data received from an external source before further processing.
  • API Interaction: To interact with web services and APIs that require Python-specific libraries (e.g., requests for HTTP calls).
  • Complex Calculations: For performing intricate mathematical operations or simulations beyond simple arithmetic.
  • Script Execution: To run small, self-contained Python scripts to automate tasks.

Key capabilities

  • Python code execution
  • Access to standard Python libraries (implicitly)
  • Data manipulation using Python data structures
  • API interaction via HTTP requests (likely through a library like requests)

Example prompts

  • "Calculate the factorial of 10."
  • "Fetch the current weather conditions for London using an API and return the temperature."
  • "Filter this list of numbers [1,2,3,4,5] to only include even numbers."

Tips & gotchas

The skill relies on a Python runtime environment being available. Ensure that any necessary external libraries are pre-installed or accessible within the agent's execution context for optimal functionality.