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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    AI Agent Threat Model — Prompt Injection & Tool Misuse

    1

    Map trust boundaries, trace injection-to-tool attack paths, and prioritize concrete controls before an AI agent ships.

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    AI Agent Threat Model — Prompt Injection & Tool Misuse

    AI Agent Threat Model — Prompt Injection & Tool Misuse

    Example session with this skill installed

    Threat-model our support agent. It reads customer emails and RAG results, can search the knowledge base, send emails, and issue refunds up to $500 without human approval. We have not documented vector-store write validation or customer-level retrieval scoping.

    • Read your context and instructions
    • Compiled the ai agent threat

    VERDICT: NOT-DEPLOYABLE

    CRITICAL — Combined tampering + elevation path
    Untrusted email content reaches the model context while the refund tool can act without human review.

    Evidence: Stated
    Confidence: 88% — based mainly on stated autonomy and tool authority
    Priority control: require human confirmation for refunds, isolate untrusted content from instructions, and cap tool authority.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Audit RAG pipelines for indirect prompt injection and memory poisoning.Analyze agentic systems for unauthorized tool execution and privilege escalation.Map AI-specific vulnerabilities to concrete security controls and mitigations.Generate structured DFDs for AI applications to identify hidden trust boundaries.

    About this skill

    What it does

    An AI agent can turn untrusted text into a real action. This skill reconstructs the system as a data-flow diagram, applies STRIDE to every relevant element, and treats prompt injection plus high-impact tool access as one compound path instead of two disconnected checklist items.

    What you get

    • A deployment verdict and AI data-flow inventory.
    • Trust boundaries and a STRIDE-per-element matrix.
    • Evidence-tagged findings with confidence scores.
    • A mitigation roadmap ordered by consequence.
    • A deterministic coverage check for every applicable STRIDE category and the combined injection-to-tool path.

    Worked path included

    Send no architecture and the skill runs a labeled demonstration on its built-in customer-support agent. The package also includes a complete worked example and a universal prompt edition for capable chat models that do not load skills directly.

    Known limitations

    This is a design-stage threat model, not a penetration test or safety certification. It works from the architecture and permissions you describe, does not inspect a live system, and does not generate adversarial instruction payloads or working exploits. Classic web/API logic and cloud IAM require their own reviews.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Security scanned

    Passed our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 1 month ago

    • Passed all security checks, Safe to install

    Listed1 month ago
    Updated1 month ago

    What's inside

    Frequently Asked Questions