/lm-evaluation-harness
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs.
$ npx -y skills add OpenRaiser/NanoResearch --skill lm-evaluation-harness --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/lm-evaluation-harness
Context preview
The summary Claude sees to decide when to auto-load this skill.
Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs.
端到端自主 AI 科研引擎 — 从研究想法到完整论文，全程自动化 快速开始 · 效果展示 · 流水线 · Claude Code · 飞书机器人 🔬 NanoResearch 真正运行计算实验——它不仅生成代码，还能将代码提交到 GPU 集群执行训练，收集真实实验结果，生成论文配图，最终输出一篇有实验数据支撑的完整 LaTeX 论文。论文中的每一个数据、表格、图表都来自实际运行的实验结果，而非 LLM 编造。
Other skills on nanoresearch.
- /nanoresearch-experiment
Generate a Python code skeleton from an experiment blueprint
Open skill - /nanoresearch-ideation
Search academic literature and generate research hypotheses
Open skill - /nanoresearch-planning
Produce an experiment blueprint from a research hypothesis
Open skill - /nanoresearch-writing
Draft a LaTeX research paper from all previous stage outputs
Open skill - /0-autoresearch-skill
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to
Open skill - /academic-plotting
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates
Open skill