evaluating-ai-harness-dimensions
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.
New: Credits are here. One balance for web and MCP. See pricing
Works with every major AI coding agent
Skills are portable instruction sets that extend what AI coding agents can do. Each skill is a SKILL.md file your agent reads to learn new capabilities, from writing tests to deploying infrastructure. Compatible with Claude Code, OpenClaw, Codex CLI, Cursor, and 20+ agents. Browse the marketplace to find skills built by the community, or publish your own.
11 skills found
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.
by Roy Yuen
Professional prompt engineering, audit, and evaluation system for production-grade AI agents and workflows.
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.
by Roy Yuen
Audit your AI agent's evaluation coverage to identify missing release gates and production risks.
Architect, scaffold, and harden production-grade AI agents with battle-tested patterns and systematic evaluation.
Diagnose why your AI skills are underperforming and systematically turn weak SKILL.md files into reliable, high-quality, marketplace-ready assets.
Automate Agensi skill scouting, evaluation, and strategic portfolio curation via MCP.
Autonomous loop that iteratively modifies, evaluates, and selects the best version of any text resource — skills, prompts, or campaigns — using a modify-measure-keep/discard cycle.
Instantly diagnose any skill or prompt and get a clear, prioritized report on what’s wrong and how to fix it — across any agent.
An adversarial gate that audits an AI eval or test suite — LLM-judge rubrics, datasets, regression tests, metrics — for gameable criteria, data leakage, missing edge cases, and non-determinism, then returns one PASS/REVISE/FAIL verdict.
by Joker
Financial analysis engine with valuation decision tree (DCF/Comparable/Precedent/VC), 3-statement model, 5-stage due diligence SOP, and industry benchmarks.
Discover AI agent skills that accelerate UI development, component generation, CSS styling, and design system workflows. These skills help agents write cleaner front-end code and ship pixel-perfect interfaces faster.
View allEquip your AI coding agent with skills for writing unit tests, integration tests, and end-to-end tests. Improve code coverage, catch regressions early, and automate quality assurance workflows.
View allSkills that help AI agents manage CI/CD pipelines, Docker containers, infrastructure-as-code, and cloud deployments. Automate your deployment workflows and reduce operational overhead.
View allGive your AI agent the ability to perform thorough code reviews, identify anti-patterns, suggest refactors, and enforce coding standards automatically across your codebase.
View allSkills that help AI agents generate READMEs, API docs, inline comments, changelogs, and technical writing. Keep your documentation accurate and up-to-date with minimal effort.
View allBoost your development workflow with skills for task management, code scaffolding, boilerplate generation, and workflow automation. Help your AI agent save you hours of repetitive work.
View allSkills for working with databases, data pipelines, ETL processes, SQL optimization, and data modeling. Help your AI agent handle complex data transformations and schema design.
View allEquip your AI agent with skills for building REST APIs, GraphQL endpoints, authentication flows, and API integrations. Design, document, and ship robust APIs faster.
View all