research-brainstorming

research-brainstorming is a skill for Claude Code from jeonnoin-alt/Eureka. It costs 39 tokens per session (3,798 once invoked), scanned A, original, MIT.

A process for turning a research idea into a clearly defined study design, including a research question, hypothesis, data source, and analysis plan. It applies even to small analyses, not only large experiments.

In plain words
What is it for?
Use it before experiments, data analysis, or scientific claims to inspect the project context, clarify the question, and get approval for the proposed design.
Why use it?
It reduces hidden assumptions and changing the question after seeing the results, which can make scientific conclusions unreliable.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the Eureka plugin — 16 skills, 1 agent, 1 hook shipped together

Good fit Use it before experiments, data analysis, or scientific claims to inspect the project context, clarify the question, and get approval for the proposed design.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jeonnoin-alt/eureka/research-brainstorming
Install

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.

Any agent
npx skills add jeonnoin-alt/Eureka --skill research-brainstorming
Clone the repo
git clone --depth 1 https://github.com/jeonnoin-alt/Eureka

Made for: Claude Code.

Or install Eureka, the plugin that ships this one along with the rest of its 16 skills, 1 agent, 1 hook.

Wrote 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.

agentmods badge for research-brainstorming

README.md
[![agentmods](https://agentmods.dev/badge/skills/jeonnoin-alt/eureka/research-brainstorming/github.svg)](https://agentmods.dev/skills/jeonnoin-alt/eureka/research-brainstorming)
Your own site
<a href="https://agentmods.dev/skills/jeonnoin-alt/eureka/research-brainstorming"><img src="https://agentmods.dev/badge/skills/jeonnoin-alt/eureka/research-brainstorming/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.

agentmods 80×15 button for research-brainstorming

Your own site · 80×15
<a href="https://agentmods.dev/skills/jeonnoin-alt/eureka/research-brainstorming"><img src="https://agentmods.dev/badge/skills/jeonnoin-alt/eureka/research-brainstorming.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,798 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.03798
Opus 5 $0.00019 $0.01899
Sonnet 5 $0.00008 $0.00760
Haiku 4.5 $0.00004 $0.00380

Measured 11d ago against content hash 08a049198897, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

research-brainstorming 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.

skills/research-brainstorming/SKILL.md · 234 lines

How it starts

The opening of the file, as written. The whole thing — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Brainstorming Research Questions Into Rigorous Designs

Help turn research ideas into fully formed, pre-registered study designs through natural collaborative dialogue.

Start by understanding the current project context, then ask questions one at a time to refine the research question. Once you understand what you're studying, present the design and get user approval.

Anti-Pattern: "This Is Too Simple To Need A Design"

Every study goes through this process. A correlation check, a single model comparison, a parameter sweep — all of them. "Simple" analyses are where unstated hypotheses and post-hoc rationalization cause the most damage. The design can be short (a few sentences for truly simple studies), but you MUST present it and get approval.

Checklist

You MUST create a task for each of these items and complete them in order:

  1. Explore project context — check existing papers, data, prior results, research notes. For data specifically: identify the exact source, version, and preprocessing state available. If the user is unsure which version of the data exists, surface this gap before proceeding.
  2. Ask clarifying questions — one at a time, understand the research question, constraints, and what success looks like
  3. Examine the literature gap (with Devil's Advocate) — structured search for what has NOT been done, plus active search for contradictory evidence
  4. Elicit the null hypothesis — exact statement of H0, not just "no effect"
  5. Test falsifiability — what specific result would DISPROVE the hypothesis?
  6. Enumerate confounds (including data leakage) — list the 3 most likely confounding variables AND check for data leakage risks (temporal, subject-level, preprocessing, feature). See docs/references/data-checklist.md §3 for the leakage taxonomy.
  7. Assess statistical power — expected effect size, required sample size, power justification
  8. Pre-specify the primary outcome — exactly one primary outcome measure, chosen before seeing results
  9. Propose 2-3 study designs — with trade-offs and your recommendation
  10. Present the research design — in sections, get approval after each section
  11. Write the research design document — save to docs/eureka/designs/YYYY-MM-DD-<topic>-design.md
  12. Design self-review — check for placeholders, internal consistency, scope, ambiguity, and verify that null hypothesis and falsifiability criterion both exist
  13. Dispatch design-document-reviewer subagent — fresh-eyes review of the design document against the 11 mandatory questions (9 scientific + 2 narrative framing) and placeholder/consistency checks. Block progression on Issues Found; fix and re-dispatch until Approved
  14. User reviews written design — ask user to review before proceeding
  15. Transition — invoke eureka:hypothesis-first to register the hypothesis

Read the full file on GitHub · 234 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. 11d ago First seen · 234 lines · 39 tokens per session scan A 08a049198897

Subscribe to this mod's changes

research-brainstorming is a skill published in the GitHub repository jeonnoin-alt/Eureka (2 stars, last pushed 4mo ago), licensed MIT. It adds 39 tokens to every session and 3,798 once invoked, about $0.0002 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 2026-08-31.

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