AI Security Review Skill
Review AI apps, prompts, workflows, agent systems, websites, and code changes for security, privacy, prompt injection, data exposure, unsafe automation, and compliance risks.
AI Security Review Skill is a free, reviewed AI skill for safety, privacy & compliance. Review AI apps, prompts, workflows, agent systems, websites, and code changes for security, privacy, prompt injection, data exposure, unsafe automation, and compliance risks. It works with ChatGPT, Claude, Gemini and is ready to use out of the box.
- • The skill provides defensive review guidance and does not replace a professional security audit or penetration test.
- • It cannot verify the real security of a system without access to code, configuration, logs, and runtime behavior.
- • It should not request or handle real API keys, passwords, private tokens, SSH keys, database passwords, or service role keys.
About this skill
AI Security Review helps builders, founders, and developers review AI-powered products, prompts, workflows, automations, agent systems, and code changes for practical security and privacy risks before they become real problems. It identifies issues such as prompt injection exposure, unsafe tool use, data leakage, secret exposure, weak access control, risky file handling, untrusted input handling, unsafe automation, insecure API usage, missing human approval, and unclear privacy boundaries. Rather than offering vague advice, it turns project notes, architecture descriptions, code snippets, agent workflows, and prompt designs into a structured review with clearly labeled risk findings, severity ratings, safer alternatives, verification steps, and a practical remediation plan. It is especially useful for people building with AI agents, no-code automation platforms, or AI coding tools, where security gaps can be introduced quickly and easily overlooked. The skill focuses entirely on defensive review and risk reduction, never offensive or exploitation guidance.
What it does
This skill reviews the system description, prompts, code, workflow, or architecture a user provides and identifies security and privacy risks across data exposure, secret handling, prompt injection, tool use, access control, file handling, RAG and knowledge base behavior, logging, compliance, and user trust. It produces a structured output with severity-rated risk findings, safer design recommendations, human approval points for sensitive actions, and a prioritized remediation plan with verification steps.
What is included
- SKILL.md — concise runtime instructions for the AI assistant
- workflow.md — step-by-step workflow for reviewing AI security and privacy risks
- ai-security-risk-framework.md — framework for identifying data exposure, prompt injection, unsafe tool use, access control, and compliance risks
- prompt-injection-checklist.md — checklist for reviewing untrusted inputs, tool-calling risks, RAG risks, and defensive controls
- privacy-and-data-exposure-checklist.md — checklist for sensitive data, secrets, logs, access control, and privacy boundaries
- output-templates.md — reusable output formats for security reviews, risk findings, prompt injection reviews, privacy reviews, and remediation plans
- examples.md — realistic input and output examples for AI security review use cases
How to use it
1. Download the ZIP file for this skill 2. Extract the files to a folder on your computer 3. Open your AI assistant, coding assistant, or security review assistant 4. Upload or paste the skill files if your tool supports custom skills or knowledge files 5. Share the system description, workflow, prompt, code snippet, or architecture notes you want reviewed 6. Redact any secrets, API keys, passwords, or tokens before sharing anything 7. Ask the assistant to apply the AI Security Review Skill
Examples
I built an AI chat app where users can upload PDFs and ask questions. The assistant can search the uploaded documents and answer from them. I want to know what security and privacy risks I should check before publishing.
Key risks include prompt injection from uploaded documents, users accessing documents they should not see, sensitive file contents being included in logs, and the assistant treating retrieved text as instructions instead of data. Recommended controls: scope document access by user, label retrieved content as untrusted, require source references, avoid logging sensitive prompts, add file size/type limits, and include human review for high-risk outputs.
Known limitations
- The skill provides defensive review guidance and does not replace a professional security audit or penetration test. - It cannot verify the real security of a system without access to code, configuration, logs, and runtime behavior. - It should not request or handle real API keys, passwords, private tokens, SSH keys, database passwords, or service role keys. - It does not provide exploitation instructions or offensive attack steps. - High-risk production, regulated, legal, financial, health, or enterprise systems may require expert security and compliance review.
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