Harness Engineering 1

    2

    Design, debug, and harden AI control loops with explicit contracts and automated verification harnesses.

    $8

    Secure checkout via Stripe

    Money-back guarantee

    Converts to your local currency at checkout

    2 installsSecurity scanned

    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    harness-engineering

    Example session with this skill installed

    Run an adversarial replay on fixture 04 to verify the safety gate and check the output schema against the strict contract for our loop escape prevention logic.

    • Read your context and instructions
    • Compiled the harness-engineering

    CONTRACT VERIFIED: Loop escape prevented.
    [REPLAY] fixture_adversarial_04: PASSED
    [REPORT]

    • Safety Gate: Verified (Role: Critic)
    • Output Schema: Verified (Strict)
    • State Isolation: Inferred
      Residual Risk: Low. The recovery path for tool timeout remains Unknown in high-latency scenarios.

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

    About this skill

    Advanced AI Control and Testing Framework

    The Harness Engineering skill provides a professional-grade toolkit for developers building agentic workflows, LLM control loops, and autonomous systems. It solves the "black box" problem by implementing explicit execution contracts, multi-role orchestration (Planner/Executor/Verifier), and rigorous regression testing pipelines.

    What it does

    This skill transforms a standard AI agent into a precision engineering tool capable of:

    • Defining Control Contracts: Locking down input/output invariants and authority boundaries before execution starts.
    • Multi-Pass Orchestration: Managing complex Plan-Execute-Verify-Recover loops with stateful memory and tool budgets.
    • Automated Verification: Using a dedicated CLI to run golden fixtures, replay traces, and inject adversarial tests.
    • Evidence-Backed Reporting: Generating structured reports categorized by "Verified," "Inferred," or "Unknown" confidence levels.

    Why use this skill?

    Prompting an AI is easy; keeping it on the rails in production is hard. This skill provides a structured CLI companion and a set of Validation Ladders that ensure your agent doesn't skip safety gates or hallucinate success. It’s built for developers who need to harden their agent orchestration against edge cases and state drift.

    Supported Workflows

    Supports sophisticated agent patterns including deep reasoning loops, safety gates, trace capture for debugging, and automated scorecard generation for AI performance benchmarking.

    The zip bundle included harness-engineering CLI

    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.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill passes our trust checks below.

    Security scanned

    Passed our 8-point scan before listing

    2 installs

    Downloaded by developers to date

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Trust & safety

    Security scanned

    Verified clean 6 months ago

    • Passed all security checks, Safe to install

    Listed6 months ago

    What's inside

    Frequently Asked Questions