Openai Security Threat Model
CheckedHelps with OpenAI, security, data modeling as part of building AI and machine learning applications workflows.
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Showing Claude Code. One command installs this skill into any of the agents below.
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terminal$ npx skills add trailofbits/skills-curated --skill openai-security-threat-model -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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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Automated safety checks
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
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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
- Scanned
- 3 files, 385 lines
About this skill
What it does
This skill helps users perform security threat modeling for OpenAI models. It facilitates the identification of potential vulnerabilities and attack vectors, allowing for proactive mitigation strategies to improve model safety and reliability. The tool guides users through a structured process to analyze risks associated with AI applications.
When to use it
- Before deploying an AI application using OpenAI's models to identify and address potential security flaws.
- When designing prompts or workflows that interact directly with user data or sensitive information.
- During the development lifecycle of an AI agent to ensure ongoing security considerations are integrated.
- To evaluate the robustness of existing AI systems against adversarial attacks or unexpected inputs.
Key capabilities
- Security threat modeling for OpenAI models
- Identification of potential vulnerabilities and attack vectors
- Structured analysis process for risk assessment
- Mitigation strategy suggestions
Example prompts
- "Perform a security threat model for an AI agent that summarizes legal documents."
- "What are the potential risks associated with using this chatbot to provide financial advice?"
- "Threat model this application which generates marketing copy based on user input."
Tips & gotchas
This skill requires a basic understanding of security principles and common attack vectors. While it provides guidance, users should have domain expertise to properly interpret results and implement appropriate mitigations.