Browse The Skill Store

Published AI benchmarks measure brains in jars. They test models in isolation or within a single reference harness — and then attribute all performance to the model. This skill teaches you to decompose agent performance into its two actual components: model capability and harness multiplier. The result is evaluations that predict real-world behavior instead of benchmark theater.

Evaluates AI coding agent platforms across five structural dimensions that determine real-world performance independently of model quality, so teams select on architectural fit rather than benchmark scores.

Instantly diagnose any skill or prompt and get a clear, prioritized report on what’s wrong and how to fix it — across any agent.

Agent Harness Architect

by PubsProToolkit

$14

Model quality is table stakes — the harness is where agents win or fail. This designs yours: it writes a structured, testable system prompt (role, tools, boundaries, method, output contract, failure handling) and maps every concern to the right layer — prompt, tool, guardrail, or evaluation — so the pieces reinforce each other instead of fighting.

Model Evaluation Report Builder

by PromptWagon

$10

Turns model test results, prompts, outputs, benchmarks, scoring notes, evaluation datasets, failure examples, comparison results, and reviewer observations into clear model evaluation reports with findings, recommendations, evidence gaps, deployment considerations, and repeatable evaluation documentation for AI teams.