benchmark
SolidMulti-provider AI coding benchmark. Dispatches a task to Codex, Gemini, Claude, and Cursor-Agent in parallel, scores responses with a Claude meta-judge, and produces a ranked leaderboard with cost, time, quality, and self-eval bias metrics. Supports corpus mode (fixed OrderService + useSearchProducts tasks) for apples-to-apples comparison across runs.
Install
Quality Score: 78/100
Skill Content
Details
- Author
- greglas75
- Repository
- greglas75/zuvo
- Created
- 4 months ago
- Last Updated
- today
- Language
- Shell
- License
- MIT
Bundled in these plugins
Similar Skills
Semantically similar based on skill content — not just same category
agent-benchmark
Self-benchmark: YOU write the code, adversarial reviews it (multi-provider), you fix, you write tests, adversarial reviews tests, you fix. Measures YOUR quality as an agent. Run in different models (Opus, Sonnet, Haiku) and compare results.
benchmark-models
Cross-model benchmark. Runs one prompt or skill through Claude, GPT (Codex CLI), and Gemini side by side and compares latency, tokens, cost, tool calls, and optionally output quality via an Anthropic-API judge. Answers "which model is actually best for this skill?" with data. Use when you say "benchmark models", "compare models", "which model is best for X", "cross-model comparison", or "model shootout". Do NOT use to measure web page performance.
agent-benchmark
Framework for measuring and tracking agent response quality over time. Detects regressions before they reach production. Use when evaluating agent changes, auditing quality, or establishing performance baselines.