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    Works with the AI Agents you already use

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    ai Agent Production Hardening Kit

    1

    Transform fragile AI prototypes into resilient, enterprise-ready production agents with professional hardening tools.

    $19

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    ai-agent-production-hardening-kit

    ai-agent-production-hardening-kit

    Example session with this skill installed

    We're moving our customer support agent to production. It's built on LangGraph. I need a production hardening plan to prevent runaway costs and handle API timeouts.

    • Read your context and instructions
    • Compiled the ai-agent-production-hardening-kit

    Production Hardening Plan: Support Agent (LangGraph)

    1. Cost Guardrails: Implement token-limit middleware and a "max-recursion" depth of 5 for loops.
    2. Resilience: Add Exponential Backoff with Jitter for OpenAI API calls.
    3. Recovery: Define a 'human-in-the-loop' handoff state for 4xx errors.

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

    About this skill

    Getting an AI agent to demo is easy. Getting it to survive real users isn't. This skill walks every production risk: prompt injection attack surfaces, jailbreak patterns, tool-call blast radius, hallucination failure modes, retry and circuit-breaker logic, observability hooks, and graceful degradation paths. Returns a threat model specific to your agent architecture, a guardrail specification ready to implement, and a production readiness scorecard you can actually ship against. Whether you're hardening a customer-facing agent or an autonomous pipeline, this is the pre-launch checklist you can't afford to skip.

    • Focuses on architecture and policy rather than writing custom code for specific niche SDKs.
    • Requires external observability tools for full telemetry integration.

    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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    Listed4 months ago
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    What's inside

    Frequently Asked Questions

    This kit provides the structural 'armoring' an agent needs to move beyond a demo, addressing critical security risks like prompt injections and operational risks like cascading tool-call failures. It transforms unpredictable behavior into a predictable, enterprise-ready service with a clear threat model and guardrail specification.

    The kit is framework-agnostic and designed to work with all major agentic architectures, including LangChain, CrewAI, AutoGen, and custom-built Python or TypeScript agents. As long as your agent uses LLMs and tool-calling, this hardening logic will apply.

    You will receive a comprehensive suite of hardening tools, including a custom threat model template, a library of guardrail specifications, circuit-breaker implementation patterns, and a production-readiness scorecard to vet your agent before deployment.

    Setup is straightforward: the skill provides a step-by-step diagnostic workflow that analyzes your agent's current architecture and tool-set to output a tailored implementation plan. Most developers can integrate the prioritized hardening recommendations into their existing CI/CD or LLM-Ops pipeline within a few hours.

    Yes, the kit is regularly updated to include the latest mitigations for emerging jailbreak patterns and newly discovered LLM vulnerabilities. Buyers receive lifetime access to these version updates to ensure their agents remain resilient against evolving threats.