Skip to content
TrustedSkillsbeta
Back to all skills

Openai Security Ownership Map

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

Helps with OpenAI, security 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-ownership-map -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

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 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-ownership-map/skills/openai-security-ownership-map/SKILL.md
Scanned
6 files, 2,447 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, openai-security-ownership-map, helps identify and map the ownership of OpenAI models and related resources. It provides a structured way to understand who is responsible for various aspects of an AI system built with OpenAI technologies. This includes identifying owners of training data, model weights, inference endpoints, and associated security responsibilities. Ultimately, it aims to improve accountability and transparency within AI development workflows.

When to use it

  • Security Audits: During a security review of an application using OpenAI models, to clarify responsibility for different components.
  • Incident Response: When investigating a security incident involving an OpenAI-powered system, to quickly determine who needs to be involved in remediation.
  • Compliance Checks: To document and demonstrate adherence to organizational or regulatory requirements regarding AI model ownership.
  • Team Onboarding: When new team members join a project using OpenAI models, to provide clear understanding of roles and responsibilities.

Key capabilities

  • Model Ownership Mapping: Identifies owners for various components (training data, weights, endpoints).
  • Security Responsibility Assignment: Links ownership with specific security duties.
  • Structured Documentation: Generates organized documentation of the OpenAI model ecosystem.

Example prompts

  • "Create an ownership map for our 'Customer Support Bot' application using GPT-4."
  • "Who is responsible for securing the inference endpoint for the 'Image Generator'?"
  • "Document the data lineage and ownership for the training dataset used by the 'Sentiment Analyzer'."

Tips & gotchas

The skill relies on accurate input regarding the components of your OpenAI system. Ensure you have a good understanding of your architecture before using this skill to generate an effective ownership map.