research-ideation

research-ideation is a skill for Claude Code from jeonnoin-alt/Eureka. It costs 68 tokens per session (1,640 once invoked), scanned A, original, MIT.

A research-idea discovery guide for people who have data, papers, or broad topics but no specific research question yet. It expands loose starting points into concrete study ideas with useful planning details.

In plain words
What is it for?
Generating research ideas from keywords, datasets, or papers, and deciding whether a project needs idea generation or a later research-design step.
Why use it?
It helps researchers move from general curiosity to testable directions before they spend time designing a study.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

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

Good fit Generating research ideas from keywords, datasets, or papers, and deciding whether a project needs idea generation or a later research-design step.

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

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/jeonnoin-alt/eureka/research-ideation"><img src="https://agentmods.dev/badge/skills/jeonnoin-alt/eureka/research-ideation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,640 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 $0.00068 $0.01640
Opus 5 $0.00034 $0.00820
Sonnet 5 $0.00014 $0.00328
Haiku 4.5 $0.00007 $0.00164

Measured 11d ago against content hash 41231b97571a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

research-ideation 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-ideation/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Ideation

Overview

Generate concrete research ideas from loose inputs — keywords, datasets, papers — and present them with actionable metadata. This skill is divergent: it expands possibilities. Its downstream partner research-brainstorming is convergent: it narrows one idea into a rigorous study design.

Core principle: You cannot refine a question you haven't asked yet. Ideation comes before design.

When to Use

Use this skill when:

  • The user has no formed research question — only keywords, a dataset, or vague interest
  • The user says "what should I research?", "what can I do with this data?", "research ideas for [topic]"
  • A dataset or paper is provided without a specific question attached
  • whats-next diagnoses the state as Pre-ideation

Do NOT use this skill when:

  • The user already has a research question (e.g., "Does X cause Y?") → use research-brainstorming
  • The user has a hypothesis to test → use hypothesis-first
  • The user is stuck mid-project → use whats-next

Discriminating rule: If the user can state their interest as "Does/Is/Can [X] [verb] [Y]?", they have a formed question → skip to research-brainstorming. If they cannot, they are in ideation territory.

Checklist (Step Order Fixed)

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

  1. Collect inputs — gather keywords/datasets/papers from conversation or by asking
  2. Explore sources — analyze what's available
  3. Generate ideas — 3-5 by default; 5-10 if scope is broad
  4. Present ideas — each with title + description + metadata table
  5. Recommend and propose — highlight one + suggest research-brainstorming handoff

Step 1: Collect Inputs

The skill accepts three types of input. All optional, but at least one must be present:

  1. Keywords / interest area — e.g., "attention mechanism", "neuroimaging", "time-series forecasting"
  2. Dataset — files in the project (csv, npy, etc.) whose structure the agent explores
  3. Papers / literature — user-provided PDFs, URLs, or web search for recent trends

Read the full file on GitHub · 136 lines

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 · 136 lines · 68 tokens per session scan A 41231b97571a

Subscribe to this mod's changes

research-ideation is a skill published in the GitHub repository jeonnoin-alt/Eureka (2 stars, last pushed 4mo ago), licensed MIT. It adds 68 tokens to every session and 1,640 once invoked, about $0.0003 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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