Evaluation Harness
Top open-source Evaluation Harness AI systems, agents, and MCP tools.
Discover and install verified Evaluation Harness AI systems, autonomous agent skills, and Model Context Protocol servers on AIStoreHub. Reusable, security-scanned, and ready for 1-click execution in Cursor, Claude Code, and terminal workflows.
Available AI Systems & Skills (11)
Open in Advanced FilterAuditPilot: auditable enterprise AI agents for evidence-grounded workflows, governed tools, evaluation harnesses, human review, and remediation delivery.
Agent Skill evaluation harness for paired variants, trace artifacts, and runner adapters
Learn AI Engineering! Learn it. Build it. Ship it for others.
Harness self-evolution: update targets, theory, evaluation, and reported evidence. Bilingual reading list and project website.
Learn AI Agents step by step, from scratch - from function calling to agent loops to multi-agent systems, orchestration, and evaluation.
The operational superset of Pi Coding Agent — everything Pi, plus observability, governance, recovery, evaluation and multi-agent orchestration. Pi Coding Agent 的运维超集——完整继承 Pi 的核心能力，并进一步扩展可观测性、治理、故障恢复、评估和多 Agent 编排。
A Windows workbench and native Python Pi harness for Odoo 19: approved business actions, state readback, traceable runs, and ERP-Bench evaluation.
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corpora—with retrieval and evaluation tooling included.
🛠️ The meta-harness for AI agents — scaffold your own focused, branded agent harness with its own npx CLI, MCP server, memory, learning loop, and witness-signed releases. Works with Claude Code, Codex, pi.dev, Hermes, OpenClaw, and RVM (hardware-isolated sandbox).
A work-centered runtime for agentic software engineering. Work persists; agents, context, and graphs assemble around it.
Build & Monetize for Evaluation Harness
Have you created an autonomous agent, MCP server, or Claude Code skill for Evaluation Harness? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.