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 Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 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

    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).

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

    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.

    Does not generate executable code or IaC. Requires existing API documentation or schemas to be provided by the user for mapping.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Listed2 months ago

    What's inside

    Frequently Asked Questions

    This skill generates a comprehensive security architecture and specification for your APIs, including risk-level classifications, trust boundaries, and injection defense strategies to prevent autonomous agents from performing unauthorized or harmful actions.

    The skill is framework-agnostic and produces specifications compatible with REST or GraphQL APIs, making it ideal for implementations in LangChain, AutoGPT, CrewAI, or custom-built agent environments.

    You will receive a structured implementation blueprint that includes risk-graded operation maps (R0-R4), data sanitization rules, and detailed least-privilege authentication requirements for your service accounts.

    No, this skill focuses on the high-level security architecture and safety logic; you will still need to write the functional code or infrastructure scripts based on the provided specifications.

    Yes, it is specifically designed to handle multi-tenant architectures by defining strict cross-tenant boundary checks and scoped authorization models to ensure data isolation.

    You simply need to provide your existing API documentation or a list of endpoints; the skill then analyzes these to build the safety layer and risk-classification framework for your agent.

    New in Agents & Orchestration