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 skills add OpenRaiser/NanoResearch --skill brainstorming-research-ideasgit 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/skills/openraiser/nanoresearch/brainstorming-research-ideas)<a href="https://agentmods.dev/skills/openraiser/nanoresearch/brainstorming-research-ideas"><img src="https://agentmods.dev/badge/skills/openraiser/nanoresearch/brainstorming-research-ideas/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/openraiser/nanoresearch/brainstorming-research-ideas"><img src="https://agentmods.dev/badge/skills/openraiser/nanoresearch/brainstorming-research-ideas.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00043 | $0.04184 |
| Opus 5 | $0.00022 | $0.02092 |
| Sonnet 5 | $0.00009 | $0.00837 |
| Haiku 4.5 | $0.00004 | $0.00418 |
Grade A, and why
brainstorming-research-ideas 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 11d 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.
This is a copy
100% identical to brainstorming-research-ideas — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 385 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Idea Brainstorming
Structured frameworks for discovering the next research idea. This skill provides ten complementary ideation lenses that help researchers move from vague curiosity to concrete, defensible research proposals. Each framework targets a different cognitive mode—use them individually or combine them for comprehensive exploration.
When to Use This Skill
- Starting a new research direction and need structured exploration
- Feeling stuck on a current project and want fresh angles
- Evaluating whether a half-formed idea has real potential
- Preparing for a brainstorming session with collaborators
- Transitioning between research areas and seeking high-leverage entry points
- Reviewing a field and looking for underexplored gaps
Do NOT use this skill when:
- You already have a well-defined research question and need execution guidance
- You need help with experimental design or methodology (use domain-specific skills)
- You want a literature review (use
scientific-skills:literature-review)
Core Ideation Frameworks
1. Problem-First vs. Solution-First Thinking
Research ideas originate from two distinct modes. Knowing which mode you are in prevents a common failure: building solutions that lack real problems, or chasing problems without feasible approaches.
Problem-First (pain point → method):
- Start with a concrete failure, bottleneck, or unmet need
- Naturally yields impactful work because the motivation is intrinsic
- Risk: may converge on incremental fixes rather than paradigm shifts
Solution-First (new capability → application):
- Start with a new tool, insight, or technique seeking application
- Often drives breakthroughs by unlocking previously impossible approaches
- Risk: "hammer looking for a nail"—solution may lack genuine demand
Workflow:
- Write down your idea in one sentence
- Classify it: Is this problem-first or solution-first?
- If problem-first → verify the problem matters (who suffers? how much?)
- If solution-first → identify at least two genuine problems it addresses
- For either mode, articulate the gap: what cannot be done today that this enables?
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.
- 11d ago First seen · 385 lines · 43 tokens per session scan A 8422a1a6dc0a
brainstorming-research-ideas is a skill published in the GitHub repository OpenRaiser/NanoResearch (1,365 stars, last pushed 16d ago), licensed MIT. It adds 43 tokens to every session and 4,184 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to brainstorming-research-ideas, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
brainstorming-research-ideas
Guides researchers through structured ideation frameworks to discover high-impact research directions. Use when exploring new problem spaces, pivoting between projects, or seeking novel angles on existing work.
brainstorming-research-ideas
Guides researchers through structured ideation frameworks to discover high-impact research directions. Use when exploring new problem spaces, pivoting between projects, or seeking novel angles on existing work.
research-brainstorming-research-ideas
Guides researchers through structured ideation frameworks to discover high-impact research directions. Use when exploring new problem spaces, pivoting between projects, or seeking novel angles on e...
brainstorming-research-ideas
Guides researchers through structured ideation frameworks to discover high-impact research directions. Use when exploring new problem spaces, pivoting between projects, or seeking novel angles on existing work.
brainstorming-research-ideas
Guides researchers through structured ideation frameworks to discover high-impact research directions. Use when exploring new problem spaces, pivoting between projects, or seeking novel angles on existing work.
auto-claim
Workflow 1: Claim-stage pipeline, controlled by two orthogonal axes. BEHAVIORSOURCE selects the behavior stage: given (default; behavior taken from task.md and assumed to hold — no ideation, no novelty, no M0), given-validation (behavior taken from task.md but the experiment plan opens with an M0 phenomenon-validation…