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Produce an experiment blueprint from a research hypothesis. An agent skill from OpenRaiser/NanoResearch.
Install Nanoresearch Planning
$ npx skills add OpenRaiser/NanoResearch --skill nanoresearch-planning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install OpenRaiser/NanoResearch nanoresearch-planning --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/OpenRaiser/NanoResearch.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/nanoresearch-planning .claude/skills/nanoresearch-planning && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "nanoresearch-planning" agent skill from https://github.com/OpenRaiser/NanoResearch/tree/main/skills/nanoresearch-planning into .claude/skills/nanoresearch-planning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanoresearch-planning", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/OpenRaiser/NanoResearch/tree/main/skills/nanoresearch-planningType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add OpenRaiser/NanoResearch --skill nanoresearch-planning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install OpenRaiser/NanoResearch nanoresearch-planning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenRaiser/NanoResearch.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/nanoresearch-planning .agents/skills/nanoresearch-planning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nanoresearch-planning" agent skill from https://github.com/OpenRaiser/NanoResearch/tree/main/skills/nanoresearch-planning into .agents/skills/nanoresearch-planning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanoresearch-planning", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OpenRaiser/NanoResearch --skill nanoresearch-planning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install OpenRaiser/NanoResearch nanoresearch-planning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenRaiser/NanoResearch.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/nanoresearch-planning .cursor/skills/nanoresearch-planning && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "nanoresearch-planning" agent skill from https://github.com/OpenRaiser/NanoResearch/tree/main/skills/nanoresearch-planning into .cursor/skills/nanoresearch-planning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanoresearch-planning", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/OpenRaiser/NanoResearch.git --path skills/nanoresearch-planning--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add OpenRaiser/NanoResearch --skill nanoresearch-planning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install OpenRaiser/NanoResearch nanoresearch-planning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenRaiser/NanoResearch.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/nanoresearch-planning .gemini/skills/nanoresearch-planning && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "nanoresearch-planning" agent skill from https://github.com/OpenRaiser/NanoResearch/tree/main/skills/nanoresearch-planning into .gemini/skills/nanoresearch-planning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanoresearch-planning", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install OpenRaiser/NanoResearch nanoresearch-planningInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add OpenRaiser/NanoResearch --skill nanoresearch-planning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/OpenRaiser/NanoResearch.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/nanoresearch-planning .github/skills/nanoresearch-planning && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "nanoresearch-planning" agent skill from https://github.com/OpenRaiser/NanoResearch/tree/main/skills/nanoresearch-planning into .github/skills/nanoresearch-planning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanoresearch-planning", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add OpenRaiser/NanoResearch --skill nanoresearch-planning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install OpenRaiser/NanoResearch nanoresearch-planning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/OpenRaiser/NanoResearch.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/nanoresearch-planning .opencode/skills/nanoresearch-planning && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "nanoresearch-planning" agent skill from https://github.com/OpenRaiser/NanoResearch/tree/main/skills/nanoresearch-planning into .opencode/skills/nanoresearch-planning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nanoresearch-planning", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
nanoresearch-planning- GitHub stars
- 1.3k
- Token cost
- ~363 tokens
- SKILL.md length
- 162 words
- Files
- 1
- Skills in repo
- 4
- Repo updated
- First seen
- Licence
- MIT
At a glance
Produce an experiment blueprint from a research hypothesis. An agent skill from OpenRaiser/NanoResearch.
- Works in 7 steps: Parse the selected hypothesis and… → Identify candidate datasets that are… → Select 2-4 baseline methods from the… → …
- Agent Workflows work in your project
- SKILL.md covers Purpose, Tools Required, Input and Process, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Nanoresearch Planning is an agent skill from OpenRaiser/NanoResearch. Produce an experiment blueprint from a research hypothesis
Its SKILL.md is about 360 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows. The repository describes itself as: 🦞+🔬 NanoResearch: The Autonomous AI Research Assistant. The licence is MIT.
When your agent uses it
- Agent Workflows work in your project
Example prompts
- “/nanoresearch-planning”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Parse the selected hypothesis and supporting literature from the ideation output
- Identify candidate datasets that are publicly available and appropriate for validating the hypothesis
- Select 2-4 baseline methods from the surveyed literature for comparison
- Define primary and secondary evaluation metrics aligned with the hypothesis
- Design ablation groups that isolate each novel component of the proposed approach
- Estimate computational requirements and timeline for each experiment
- Compile everything into a structured experiment blueprint
What it can do on your machine
Read from SKILL.md and the folder at commit 584fd06. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Nanoresearch Planning loads about 363 tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 162 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from OpenRaiser/NanoResearch at commit 584fd06, republished under its MIT licence (© OpenRaiser). 162 words, ~363 tokens.
Download SKILL.mdSave it as
.claude/skills/nanoresearch-planning/SKILL.md (or your agent's skills folder).- name
- nanoresearch-planning
- description
- Produce an experiment blueprint from a research hypothesis
- version
- 0.1.0
Planning Skill
Purpose
Take the selected hypothesis from ideation and produce a detailed experiment blueprint specifying datasets, baselines, evaluation metrics, and ablation groups.
Tools Required
None. This skill operates entirely through LLM reasoning over the ideation output.
Input
ideation_output: Path topapers/ideation_output.jsonproduced by the ideation skill
Process
- Parse the selected hypothesis and supporting literature from the ideation output
- Identify candidate datasets that are publicly available and appropriate for validating the hypothesis
- Select 2-4 baseline methods from the surveyed literature for comparison
- Define primary and secondary evaluation metrics aligned with the hypothesis
- Design ablation groups that isolate each novel component of the proposed approach
- Estimate computational requirements and timeline for each experiment
- Compile everything into a structured experiment blueprint
Output
Produces papers/experiment_blueprint.json containing:
- Selected hypothesis (carried forward)
- Dataset specifications (name, source, splits, preprocessing steps)
- Baseline methods with references
- Evaluation metrics and success criteria
- Ablation study design (groups, variables, expected outcomes)
- Resource estimates and experiment schedule
© OpenRaiser, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/nanoresearch-planning of OpenRaiser/NanoResearch.
Open the folder on GitHubat commit 584fd06
Compare with similar skills
Nanoresearch Planning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Nanoresearch Planning this skillOpenRaiser/NanoResearch | 1.3k | — | ~363 | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 63 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 10 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 35 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 297k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Skill CreatorAzure/azqr | 796 | 89 repos | ~8.2k | Automated safety check: Pass | Apache-2.0 |
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Categories
Questions about Nanoresearch Planning
What does Nanoresearch Planning do?
Produce an experiment blueprint from a research hypothesis. An agent skill from OpenRaiser/NanoResearch. Nanoresearch Planning is an agent skill from OpenRaiser/NanoResearch.
When should I use Nanoresearch Planning?
Nanoresearch Planning fits situations like: agent Workflows work in your project.
How do I install Nanoresearch Planning in Claude Code?
Run `npx skills add OpenRaiser/NanoResearch --skill nanoresearch-planning -a claude-code`. Or copy the skill folder (skills/nanoresearch-planning in OpenRaiser/NanoResearch) into .claude/skills/nanoresearch-planning in your project. Claude Code loads it when a task matches its description.
How do I install Nanoresearch Planning in Codex?
Run `npx skills add OpenRaiser/NanoResearch --skill nanoresearch-planning -a codex`. Or copy the skill folder (skills/nanoresearch-planning in OpenRaiser/NanoResearch) into .agents/skills/nanoresearch-planning in your project. Codex loads it when a task matches its description.
Can I use Nanoresearch Planning in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add OpenRaiser/NanoResearch --skill nanoresearch-planning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nanoresearch-planning, .gemini/skills/nanoresearch-planning, .github/skills/nanoresearch-planning and .opencode/skills/nanoresearch-planning in your project.
What does Nanoresearch Planning need to run?
SKILL.md names no scripts, command-line tools or credentials: Nanoresearch Planning is instructions for the agent only.
Does Nanoresearch Planning access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Nanoresearch Planning safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Nanoresearch Planning use?
Nanoresearch Planning is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Nanoresearch Planning use?
About 363 tokens (SKILL.md is roughly 1.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Nanoresearch Planning?
Skills that share tags, products or a category with Nanoresearch Planning: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Nanoresearch Planning?
OpenRaiser (a GitHub organization) maintains it in OpenRaiser/NanoResearch, which has 1,339 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 9, 2026.
Source: OpenRaiser/NanoResearch on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.