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Cpp Dev

Checked
wulnut·vlatest·backend·GPL-3.0

Generates C++ code snippets based on your descriptions, accelerating development and simplifying complex tasks for C++ developers.

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 wulnut/lark_agent --skill cpp-dev -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

wulnut

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 wulnut/lark_agent at c721928d0e.

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

Commit
c721928d0e
Manifest
.agent/skill/cpp-dev/SKILL.md
Scanned
3 files, 229 lines
Copies in repo
3 — all of them scanned
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

The cpp-dev skill enables AI agents to generate, debug, and explain C++ code. It can assist with writing new programs, identifying errors in existing codebases, and providing clear explanations of complex C++ concepts. This skill is designed for developers who need assistance with various aspects of C++ development.

When to use it

  • Code Generation: Generate boilerplate code or entire functions based on a description of the desired functionality.
  • Debugging Assistance: Provide existing C++ code and ask the agent to identify potential bugs or errors.
  • Code Explanation: Request explanations for specific C++ code snippets, including complex algorithms or data structures.
  • Learning C++: Ask questions about C++ syntax, best practices, or common pitfalls.

Key capabilities

  • C++ Code Generation
  • Debugging Assistance
  • Code Explanation
  • Understanding of C++ Syntax and Semantics

Example prompts

  • "Write a C++ function to calculate the factorial of a number."
  • "Can you find any memory leaks in this C++ code?"
  • "Explain how virtual functions work in C++."

Tips & gotchas

The agent's effectiveness depends on providing clear and specific prompts. Ensure that the provided code is well-formatted for optimal results.