ai agent api connector architect

    1

    Design secure, least-privilege API connectors for AI agents with risk classification and injection defense.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    ai agent api connector architect

    Example session with this skill installed

    Design a connector for a Claude agent to interact with our internal Stripe-based billing API to fetch customer status and issue partial refunds. We need to prevent bulk refund attacks.

    • Read your context and instructions
    • Compiled the ai agent api
    • Generated the document

    I have designed the connector architecture for the Billing API. This design prioritizes preventing unauthorized fund transfers and ensuring all refunds are individually validated.

    Billing API Connector Specification

    ComponentSpecification
    ObjectiveBounded agent access to customer billing data and managed partial refunds.
    IdentityService Account: agent-billing-svc with read:customers, write:refunds (restricted).
    Trust BoundaryAgent resides in VPC; Stripe API communication via encrypted proxy with audit logging.

    Operation Risk Matrix

    IDOperationRisk LevelApproval GateIdempotency
    B-01GET /v1/customers/{id}R1 (Low)NoneN/A
    B-02POST /v1/refundsR3 (High)Human RequiredRequired (idemp_key)
    B-03DELETE /v1/subscriptionsR4 (Critical)ForbiddenN/A

    Security Controls

    Injection Defense: Agent treats description and metadata fields as untrusted strings. No instructions in metadata will be parsed or executed.

    • Rate Limiting: Maximum 5 refund attempts per hour per agent instance.
    • Data Boundary: Refunds capped at 50% of original transaction value; absolute cap of $200.00.
    • Audit Trail: All refund calls must include x-agent-session-id and the justification string for logging.

    Next steps

    1. Provision the agent-billing-svc account with the specific scopes listed above.
    2. Implement the human-in-the-loop approval UI for the POST /v1/refunds endpoint.
    3. Configure the API Gateway to enforce the $200.00 hard limit independent of the agent logic.

    Readiness Verdict: Conditionally Ready (Pending manual gateway limit confirmation).

    ai-agent-api-connector-architect.pdf

    PDF · document

    Generated

    Example file from a real run - the skill writes it into your workspace.

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

    What you get

    Classify API operations by risk level to automate approval gate workflows.Design prompt-injection defenses for agents handling external data.Map least-privilege OAuth scopes for autonomous service accounts.Create idempotent retry policies for state-changing agent actions.

    About this skill

    The problem

    Exposing internal APIs to LLMs creates massive security risks including prompt injection, unauthorized data egress, and accidental destructive actions. Standard API documentation lacks the safety boundaries and risk classification needed for autonomous agent execution.

    What it does

    • Generates implementation-ready connector specifications with strict trust boundaries.
    • Classifies every API operation by risk level (R0-R4) to determine required approval gates.
    • Defines prompt-injection defenses and data-sanitization rules for untrusted external content.
    • Maps authentication, authorization, and least-privilege scopes for service accounts.
    • Specifies reliability patterns including idempotency, retries, and fail-closed error handling.

    Frameworks & tools

    Works with REST and GraphQL APIs. Supports OAuth2, service account architectures, and webhook-driven workflows. Applicable to LangChain, AutoGPT, or custom agent frameworks.

    Why this beats prompting it yourself

    Generic prompts often forget edge cases like idempotency or cross-tenant boundary checks. This skill enforces a rigorous security-first architecture that treats every API response as tainted, ensuring your agent won't execute malicious instructions hidden in database fields or emails.

    Use cases

    • Designing a secure Slack bot that interacts with internal Jira and GitHub instances.
    • Creating a read/write connector for a CRM that requires human approval for deletions.
    • Building an automated support agent that queries sensitive customer billing data.
    • Architecting multi-tenant API integrations for an AI-powered SaaS platform.

    Known limitations

    Does not generate the actual integration code or infrastructure-as-code scripts. Requires the user to provide API documentation or endpoint details for accurate mapping.

    How to install

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

    ~30 seconds
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      Download the ZIP

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      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

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    Security scanned

    Verified clean 19 days ago

    • Passed all security checks, Safe to install

    Listed19 days ago

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