NanoResearch is an autonomous AI research system that turns research ideas into executable experiments and LaTeX papers supported by results from real training runs. It is for researchers validating prototypes, running GPU experiments, generating benchmarks, analyzing logs, and preparing paper drafts. The catalogue add-ons support its research pipeline and agent workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/openraiser/nanoresearch/claude-mdgit clone --depth 1 https://github.com/OpenRaiser/NanoResearchWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/openraiser/nanoresearch/claude-md)<a href="https://agentmods.dev/instructions/openraiser/nanoresearch/claude-md"><img src="https://agentmods.dev/badge/instructions/openraiser/nanoresearch/claude-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00777 | $0.00777 |
| Opus 5 | $0.00388 | $0.00388 |
| Sonnet 5 | $0.00155 | $0.00155 |
| Haiku 4.5 | $0.00078 | $0.00078 |
Grade A, and why
NanoResearch CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NanoResearch — Claude Code Integration Mode
NanoResearch is an end-to-end autonomous AI research engine. In Claude Code integration mode, Claude Code should drive the existing pipeline rather than inventing a second workflow.
Core Goal
Given a research topic, NanoResearch should produce a resumable research workspace containing:
- literature artifacts
- planning artifacts
- runnable experiment code when needed
- execution or literature-analysis evidence
- figures
- a LaTeX paper draft
- review output and final exported assets
Pipeline
NanoResearch uses a 9-stage pipeline:
IDEATION -> PLANNING -> SETUP -> CODING -> EXECUTION -> ANALYSIS -> FIGURE_GEN -> WRITING -> REVIEW
Stage meanings:
ideation: literature search, gap finding, hypothesis or theme extractionplanning: experiment blueprint or survey blueprint generationsetup: environment and resource preparationcoding: runnable experiment generationexecution: local or SLURM-backed experiment executionanalysis: structured evidence extraction from outputsfigure_gen: figure generation for paper assetswriting: LaTeX paper draftingreview: critique, verification, and revision
Workspace Convention
Workspaces live under ~/.nanoresearch/workspace/research/.
A typical workspace contains:
{session_dir}/
├── manifest.json
├── papers/
├── plans/
├── experiment/
├── drafts/
├── figures/
├── output/
└── logs/
Reuse an existing workspace when the user asks to continue, inspect status, resume, or revise a prior run.
Paper Modes
Topic prefixes:
original: Topic->original_researchsurvey:short: Topic->survey_shortsurvey:standard: Topic->survey_standardsurvey:long: Topic->survey_long
Behavior:
- original research follows the full 9-stage pipeline
- survey modes skip experiment-heavy stages and use literature-grounded planning, writing, and review
- the prefix is parsed by the existing CLI and manifest logic; Claude Code should reuse that behavior
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 103 lines · 777 tokens per session scan A 70eae37d1294
NanoResearch CLAUDE.md is an instructions file published in the GitHub repository OpenRaiser/NanoResearch (1,364 stars, last pushed 10d ago), licensed MIT. It adds 777 tokens to every session, about $0.0039 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
swarms CLAUDE.md
Claude Code instructions for kyegomez/swarms, covering claude.md — swarms framework guide, installation & setup, any provider supported by litellm works, project layout and core primitive: agent.
langgraphjs AGENTS.md
AGENTS.md instructions for langchain-ai/langgraphjs, covering repository instructions and corridor security analysis.
wanaku CLAUDE.md
Claude Code instructions for wanaku-ai/wanaku, covering wanaku, core guidelines, quick start, build info and architecture.
station CLAUDE.md
Instructions for dualverse-ai/station, a project described as: The Station is an open-world multi-agent environment where AI agents pursue autonomous scientific discovery and build a shared literature.
station GEMINI.md
Instructions for dualverse-ai/station, a project described as: The Station is an open-world multi-agent environment where AI agents pursue autonomous scientific discovery and build a shared literature.
wanaku AGENTS.md
AGENTS.md instructions for wanaku-ai/wanaku, a project described as: Wanaku MCP Router.