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Agents-eval
A Multi-Agent System (MAS) evaluation framework using PydanticAI that generates and evaluates scientific paper reviews through a three-tiered assessment approach: traditional metrics, LLM-as-a-Judge, and graph-based complexity analysis.
2stars
1forks
Python
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallSKILLInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest qte77/Agents-evalAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
# Install into ~/.claude/skills/ mkdir -p ~/.claude/skills/agents-eval curl -fsSL https://raw.githubusercontent.com/qte77/Agents-eval/main/SKILL.md -o ~/.claude/skills/agents-eval/SKILL.md
Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
agents-eval — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt