NanoResearch Experiment Skeleton
Turns an experiment blueprint JSON into a runnable multi-module ML training/eval/ablation skeleton
Test report
- Verdict
- Tested · Works
- Score
- Tested
- Jul 24, 2026
- Environment
- Claude Code 2.x (agent harness)
- Upstream re-checked
- Jul 30, 2026 · 9a8be6d
⚠ This skill is no longer available upstream. Our re-check on Aug 10, 2026 couldn't find it any more (repo unreachable/deleted). The test below is what we measured on Jul 24, 2026 and we're leaving it up as a record — but there is nothing left to install, so we've removed the command.
Fed it a real CIFAR-10 label-smoothing blueprint with a four-value eps sweep: the skill produced 11 files across data/models/training/evaluation/configs plus one YAML per ablation value, both requested metrics (accuracy and expected calibration error), early stopping and checkpointing, all Python parsing and all YAML valid. The no-skill baseline collapsed the sweep into a single CLI flag and dropped the calibration metric entirely.
Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works
- Installs cleanly 5/5
- Triggers reliably 5/5
- Output vs. baseline 8/10
- Docs & honesty 4/5
What NanoResearch Experiment Skeleton does
Reads a papers/experiment_blueprint.json (datasets, baselines, metrics, ablation groups) and scaffolds an experiments/ project with data, models, training, evaluation, per-ablation YAML configs, and a run.py entry point. Triggers when you ask to scaffold or generate code from an ML experiment blueprint or plan.
How to install NanoResearch Experiment Skeleton
Nothing to install: the source repository no longer has this skill. If the author brings it back, our daily re-check will pick it up and the command will reappear here.
Commands — how to trigger NanoResearch Experiment Skeleton
-
/nanoresearch-experimentTurns an experiment blueprint JSON into a runnable multi-module ML training/eval/ablation skeleton
It also activates on plain-language prompts like these:
-
Scaffold an ML experiment project from this blueprint JSON -
Generate training and eval code for my ablation groups -
Build the experiments skeleton from experiment_blueprint.json
Frequently asked questions
- Is the NanoResearch Experiment Skeleton skill free?
- Yes. The skill itself is free from OpenRaiser/NanoResearch. SkillProof publishes the install command and an independent test verdict at no cost.
- Does NanoResearch Experiment Skeleton work with Claude Code?
- We tested it with Claude Code 2.x (agent harness) on Jul 24, 2026. Verdict: Tested · Works. Fed it a real CIFAR-10 label-smoothing blueprint with a four-value eps sweep: the skill produced 11 files across data/models/training/evaluation/configs plus one YAML per ablation value, both requested metrics (accuracy and expected calibration error), early stopping and checkpointing, all Python parsing and all YAML valid. The no-skill baseline collapsed the sweep into a single CLI flag and dropped the calibration metric entirely.
- What is the NanoResearch Experiment Skeleton SkillProof Score?
- 8.8/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 8/10, docs & honesty 4/5.
- How do I install NanoResearch Experiment Skeleton?
- Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
- Can I use NanoResearch Experiment Skeleton with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
- The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.