LLM Coding Benchmark
Runs a ready‑made coding benchmark that evaluates LLMs (open‑source or commercial) on the OpenCode dataset and returns accuracy and runtime metrics.
- •You want to compare several LLM providers (e.g., OpenAI, Anthropic, Llama‑2) on realistic programming tasks before choosing a model for your product.
- •You need an objective, repeatable score to justify a budget request for a higher‑cost LLM.
- •You are building an AI‑coding assistant and want a quick sanity‑check of how new model releases perform on code generation.
llm-coding-benchmark --model openai/gpt-4o --model anthropic/claude-3-opus --tasks data/open_code/tasks.jsonl --output benchmark_results.json
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/llm-coding-benchmark && curl -fsSL https://workflowstacks.com/api/skills/llm-coding-benchmark/claude-skill -o ~/.claude/skills/llm-coding-benchmark/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
LLM Coding Benchmark is mostly documents (386 doc files, 174 small scripts) — something you read, not something you run. There is nothing to install. Last commit this month, no license file.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/llm-coding-benchmark && curl -fsSL https://workflowstacks.com/api/skills/llm-coding-benchmark/claude-skill -o ~/.claude/skills/llm-coding-benchmark/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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