research-brainstorming-research-ideas

research-brainstorming-research-ideas is a skill for Claude Code from GrayCodeAI/starling. It costs 44 tokens per session (327 once invoked), scanned A, original, MIT.

A structured method for helping researchers generate, compare, and refine research ideas.

In plain words
What is it for?
Use it when starting a research area, feeling stuck, changing projects, or choosing and shaping a research direction.
Why use it?
It replaces unfocused brainstorming with guided questions, several ways to examine a problem, and a process for narrowing many ideas to a few workable ones.

Skill for Claude Code

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

Part of the starling plugin — 54 skills shipped together

Good fit Use it when starting a research area, feeling stuck, changing projects, or choosing and shaping a research direction.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/graycodeai/starling/research-brainstorming-research-ideas
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 GrayCodeAI/starling --skill research-brainstorming-research-ideas
Clone the repo
git clone --depth 1 https://github.com/GrayCodeAI/starling

Made for: Claude Code.

Or install starling, the plugin that ships this one along with the rest of its 54 skills.

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-research-ideas

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

agentmods 80×15 button for research-brainstorming-research-ideas

Your own site · 80×15
<a href="https://agentmods.dev/skills/graycodeai/starling/research-brainstorming-research-ideas"><img src="https://agentmods.dev/badge/skills/graycodeai/starling/research-brainstorming-research-ideas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 327 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 $0.00044 $0.00327
Opus 5.5 $0.00018 $0.00131
Sonnet 5.5 $0.00009 $0.00065
Haiku 4.5 $0.00004 $0.00033

Measured 1mo ago against content hash 595e286070a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

research-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 1mo 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.

categories/ai-ml/research-brainstorming-research-ideas/SKILL.md · 34 lines

What it actually says

Usage Instructions for Agents

When a researcher asks for help brainstorming research ideas:

  1. Identify their starting point: Are they exploring a new area, stuck on a current project, or evaluating an existing idea?
  2. Select appropriate frameworks: Use the Framework Selection Guide to pick 2-3 relevant lenses
  3. Walk through frameworks interactively: Apply each framework step-by-step, asking the researcher for domain-specific inputs
  4. Generate candidates: Aim for 10-20 raw ideas across frameworks
  5. Filter and rank: Apply the Converge phase filters to narrow to top 3-5
  6. Refine the winner: Help articulate the two-sentence pitch and define concrete next steps

Key Principles:

  • Push for specificity—vague ideas ("improve efficiency") are not actionable
  • Challenge assumptions—ask "why?" at least three times
  • Maintain a written list of all candidates, even rejected ones (they may recombine later)
  • The researcher makes the final call on which ideas to pursue; the agent facilitates structured thinking
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. 1mo ago First seen · 34 lines · 44 tokens per session scan A 595e286070a3

Subscribe to this mod's changes

research-brainstorming-research-ideas is a skill published in the GitHub repository GrayCodeAI/starling (2 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 327 once invoked, about $0.0002 per session on Opus 5.5. 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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