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