ai-agent-production-hardening-kit
Transform fragile AI prototypes into resilient, enterprise-ready production agents with professional hardening tools.
- Design self-healing error recovery architectures for autonomous loops
- Implement cost-control guardrails and token-usage monitoring patterns
- Build automated evaluation loops for regression testing agent performance
$12.99
· or 65 creditsSecure checkout via Stripe
Included in download
- Design self-healing error recovery architectures for autonomous loops
- Implement cost-control guardrails and token-usage monitoring patterns
- Ready for Threat model
Sample input
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.
Sample output
### 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.
ai-agent-production-hardening-kit
Transform fragile AI prototypes into resilient, enterprise-ready production agents with professional hardening tools.
$12.99
· or 65 creditsSecure checkout via Stripe
Included in download
- Design self-healing error recovery architectures for autonomous loops
- Implement cost-control guardrails and token-usage monitoring patterns
- Ready for Threat model
- Instant install
Sample input
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.
Sample output
### 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.
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.
Use Cases
- Design self-healing error recovery architectures for autonomous loops
- Implement cost-control guardrails and token-usage monitoring patterns
- Build automated evaluation loops for regression testing agent performance
- Define safety guardrails to prevent hallucination and prompt injection
- Architect skill routing systems for complex multi-agent workflows
Known Limitations
- Focuses on architecture and policy rather than writing custom code for specific niche SDKs. - Requires external observability tools for full telemetry integration.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/ai-agent-production-hardening-kit -o /tmp/ai-agent-production-hardening-kit.zip && unzip -o /tmp/ai-agent-production-hardening-kit.zip -d ~/.claude/skills && rm /tmp/ai-agent-production-hardening-kit.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Threat model, guardrail spec and production readiness scorecard for any AI agent — covers prompt injection, jailbreak patterns, tool-call blast radius, and graceful degradation.