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    Enterprise Prompt Architect & Eval Suite

    1

    Industrial prompt compiler, type-safe schema generator, and automated eval suite framework. Hardens LLM pipelines with injection guards and golden regression tests.

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    Enterprise Prompt Architect & Eval Suite

    Enterprise Prompt Architect & Eval Suite

    Example session with this skill installed

    Compile an enterprise prompt and Zod schema for an automated pull request security auditing agent.

    • Read your context and instructions
    • Compiled the enterprise prompt architect

    Hardened System Prompt Compiled:

    • Delimiter Armor Applied: <untrusted_pull_request>
    • Anti-Exfiltration Sentry: Enforced
    • Schema: Zod SecurityAuditResponseSchema
    • Golden Eval Matrix: 10 synthetic test cases generated

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

    About this skill

    The Enterprise Prompt Architect & Eval Suite is an industrial prompt engineering and LLM testing framework. It transforms ambiguous natural-language prompts into hardened, production-ready system instructions backed by type-safe output schemas and regression evaluation suites.

    It eliminates common production LLM failures: JSON markdown wrapping errors, instruction drift, system prompt exfiltration, adversarial prompt injection, and silent performance regressions across model upgrades.

    Key Capabilities:

    • Type-Safe Schema Compilation: Compiles Pydantic v2 (Python) and Zod (TypeScript) contracts with strict boundary regex and enum validation.
    • Adversarial & Jailbreak Armor: Delimiter framing, anti-leak sentry, and indirect injection shields.
    • Golden Eval Matrix Generator: Synthesizes a 10-case regression test suite (Happy Path, Injection, Boundary) with automated Pytest/Jest assertions.
    • Zero External Network Dependencies: Operates completely locally without sending proprietary system prompts to third-party endpoints.

    Does not train model weights or perform fine-tuning. Specializes in inference-time prompt compilation, schema validation, and evaluation synthesis.

    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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    Requires

    read files
    Python

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    What's inside

    Frequently Asked Questions

    No. All prompt compilation, schema synthesis, and eval generation occur strictly locally on your machine without transmitting prompts to external servers.

    It natively outputs Python Pydantic v2 models, TypeScript Zod schemas, and raw JSON Schema specifications with strict validation.