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Openai Security Best Practices

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trailofbits·vlatest·ai-ml·CC-BY-SA-4.0

Helps with OpenAI, security, best practices as part of building AI and machine learning applications 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 trailofbits/skills-curated --skill openai-security-best-practices -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

trailofbits

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Install target

Live repository

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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 trailofbits/skills-curated at 6d05be4889.

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

Commit
6d05be4889
Manifest
plugins/openai-security-best-practices/skills/openai-security-best-practices/SKILL.md
Scanned
11 files, 9,068 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.
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About this skill

What it does

This skill provides guidance and recommendations for secure development practices when using OpenAI models. It helps users understand common vulnerabilities, implement mitigations, and adhere to security best practices throughout the AI application lifecycle. The skill focuses on practical advice applicable to prompt engineering, data handling, and overall system design.

When to use it

  • When designing a new application that utilizes OpenAI's API.
  • During code reviews of existing applications using OpenAI models.
  • To troubleshoot security concerns or unexpected behavior in an AI-powered system.
  • For training developers on secure AI development practices.

Key capabilities

  • Provides recommendations for prompt engineering to prevent prompt injection attacks.
  • Offers guidance on data handling and storage best practices.
  • Highlights common vulnerabilities associated with OpenAI model usage.
  • Suggests mitigations for identified security risks.

Example prompts

  • "What are the key security considerations when using OpenAI's API?"
  • "How can I prevent prompt injection attacks in my application?"
  • "Give me best practices for securely storing and handling data used with OpenAI."

Tips & gotchas

This skill assumes a basic understanding of AI/ML concepts and OpenAI’s APIs. While it provides valuable guidance, implementing these recommendations requires careful consideration within your specific application context.