Evaluating AI Harness Dimensions

What this Claude Code skill does

Evaluates AI coding agent platforms across five structural dimensions — execution philosophy, state and memory, context management, tool integration, and multi-agent architecture — that determine real-world performance independently of model quality. Use when selecting an AI coding agent platform, comparing two agents beyond benchmark scores, or auditing why the same model performs differently in different environments.

Evaluating AI Harness Dimensions is a packaged skill for Claude Code: a SKILL.md plus references and a runnable test that drops into .claude/skills/, so your agent can run this workflow reliably instead of you re-explaining it each time. Install it via MCP, run it as a CLI, or fork it into your own.

Inside the SKILL.md

<h1>Evaluating AI Harness Dimensions</h1>
<h2>The Harness vs. Model Distinction</h2>
<p>A model is the intelligence: the weights that predict tokens. A harness is everything
else: where the agent executes, what it can touch, how it remembers across sessions,
how it coordinates parallel work, and how it connects to external tools.</p>
<p>Benchmark comparisons almost exclusively compare models. Harnesses are rarely
evaluated, yet they are performance multipliers:</p>
<blockquote>
<p>Same Claude model, identical weights: 78% on a scientific reproducibility benchmark
inside Claude Code's harness vs. 42% inside a different harness. Nearly double the
performance from identical intelligence — the harness is not an optimization layer,
it is a performance multiplier.</p>
</blockquote>
<hr />
<h2>The Five Harness Dimensions</h2>
<p>Evaluate any AI coding agent on these five axes before committing to it.</p>
<pre class="mermaid">flowchart TD
    MODEL[&quot;Model Weights\nsame across harnesses&quot;] --&gt; HARNESS

    subgraph HARNESS[&quot;Harness = Everything Else&quot;]
        D1[&quot;1. Execution Philosophy\nLocal / Composable\nvs. Isolated / Cloud&quot;]
        D2[&quot;2. State &amp; Memory\nArtifact-based\nvs. Repo-as-memory&quot;]
…