Skip to content
TrustedSkillsbeta
Back to all skills

Memory Safety Patterns

Checked
wshobson·vlatest·security·MIT

Identifies and suggests fixes for common memory safety vulnerabilities using established coding patterns.

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 memory-safety-patterns -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/systems-programming/skills/memory-safety-patterns/SKILL.md
Scanned
2 files, 587 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

The memory-safety-patterns skill provides strategies and techniques to ensure safe handling of memory in AI agent development. It helps prevent common issues like memory leaks, buffer overflows, and improper resource management by implementing best practices for memory allocation, deallocation, and usage.

When to use it

  • When developing AI agents that handle large datasets or require high performance.
  • When debugging memory-related errors such as segmentation faults or unexpected crashes.
  • When optimizing the efficiency of an agent's runtime environment.
  • When ensuring compliance with security standards in critical applications.

Key capabilities

  • Implementation of safe memory allocation and deallocation practices.
  • Detection and prevention of common memory-related bugs.
  • Guidance on managing resources efficiently during AI agent execution.
  • Integration with tools for monitoring and profiling memory usage.

Example prompts

  • "Implement a memory safety check in my AI agent's code."
  • "How can I prevent buffer overflows in this agent's processing module?"
  • "What are the best practices for resource management in high-performance agents?"

Tips & gotchas

  • Ensure that your development environment supports memory profiling tools to fully leverage this skill.
  • Memory safety patterns may require adjustments based on specific programming languages or frameworks used by the AI agent.