research-ideation

research-ideation is a skill for Claude Code from CamusGIT/EvoQuant. It costs 151 tokens per session (4,723 once invoked), scanned A, original, Apache-2.0.

A structured process for generating and ranking new quantitative research ideas, starting from existing academic papers. It can develop a selected idea into a detailed research proposal.

In plain words
What is it for?
Use it to choose a research scope, find ideas related to an existing paper, assess novelty, rank possible projects, and prepare a proposal.
Why use it?
It gives research brainstorming a defined sequence, so ideas are grounded in prior work and compared using the same criteria.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to choose a research scope, find ideas related to an existing paper, assess novelty, rank possible projects, and prepare a proposal.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/camusgit/evoquant/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 CamusGIT/EvoQuant --skill research-ideation
Clone the repo
git clone --depth 1 https://github.com/CamusGIT/EvoQuant

Made for: Claude Code.

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/camusgit/evoquant/research-ideation/github.svg)](https://agentmods.dev/skills/camusgit/evoquant/research-ideation)
Your own site
<a href="https://agentmods.dev/skills/camusgit/evoquant/research-ideation"><img src="https://agentmods.dev/badge/skills/camusgit/evoquant/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/camusgit/evoquant/research-ideation"><img src="https://agentmods.dev/badge/skills/camusgit/evoquant/research-ideation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 151 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,723 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00151 $0.04723
Opus 5.5 $0.00060 $0.01889
Sonnet 5.5 $0.00030 $0.00945
Haiku 4.5 $0.00015 $0.00472

Measured 1mo ago against content hash df819deb20f1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 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.

EvoQuant/skills/research-ideation/SKILL.md · 410 lines

How it starts

The opening of the file, as written. The whole thing — 410 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research Ideation

From research goal to ranked ideas and a detailed proposal.

Step 0: Load evo-memory (M_I)
    ↓
Step 1: Define Scope & Goal
    ↓
Step 2: Literature Grounding (MUST use local-paper-navigator scripts)
    ↓
Step 3: Generate Ideas (3 Anchor Papers × Innovator persona)
    ↓
Step 4: Refine Ideas (3 tracks × N iterations)
    ↓
Step 5: ELO Tournament → Present Top-3 to User
    ↓
Step 6: Update evo-memory (IDE)
    ↓
User Selects
    ↓
Step 7: Expand into Proposal
    ↓
Step 8: Validate and Iterate

When to Use

  • User wants to find a research direction or brainstorm research ideas within a specific quant scope stage
  • User wants to evaluate whether an idea is novel or worth pursuing
  • User wants to rank or compare multiple research ideas
  • User wants to generate a research proposal from an idea anchored to an existing paper

Note: This pipeline is optimized for quantitative research where incremental, anchor-first contributions are preferred over architectural redesigns.

When NOT to Use

  • Finding/reading papers → use local-paper-navigator
  • Literature survey report → use research-survey
  • Planning a paper (story design, experiment plan) → use paper-planning

Step 0: Load Prior Knowledge from evo-memory

Before any ideation begins, load Ideation Memory (M_I) from prior research cycles:

  1. Read M_I at /memory/ideation-memory.md (refer to evo-memory skill)
  2. Select the top-2 entries (k_I=2) most relevant to the user's current goal by comparing each entry's Summary and Retrieval Tags against the goal
  3. Feasible directions from prior cycles → use as seeds in Step 3 (incorporate as candidate anchor directions alongside new ones, within the same scope stage)
  4. Unsuccessful directions marked as fundamental failures → use during idea pruning in Step 4 (prune any idea that matches a fundamental failure pattern)
  5. If M_I doesn't exist yet (first cycle), skip this step

This step prevents repeating known dead ends and builds on prior successes across research cycles.

Read the full file on GitHub · 410 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. 1mo ago Changed df819deb20f1
  2. 1mo ago First seen · 410 lines · 151 tokens per session scan A 27f2bed8dc11

Subscribe to this mod's changes

research-ideation is a skill published in the GitHub repository CamusGIT/EvoQuant (141 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 151 tokens to every session and 4,723 once invoked, about $0.0006 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 2026-08-30.

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