idea-quality

idea-quality is a skill for Claude Code, Codex from microsoft/ResearchStudio. It costs 215 tokens per session (2,378 once invoked), scanned A, original, MIT.

A scoring guide for judging a research idea before experiments have been run. Given one or two Markdown files with a title, motivation, and method, it assesses the problem, the proposed approach, and how well they fit together.

In plain words
What is it for?
Use it to produce a cited quality assessment and an overall 0–100 score with a verdict, or to make a blind head-to-head comparison of two research ideas. Thin or missing sections are noted as assumptions rather than blocking the review.
Why use it?
It gives an early assessment of whether an idea is worth pursuing and whether its method is convincing, without depending on external papers, datasets, or experimental results.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one.

Good fit Use it to produce a cited quality assessment and an overall 0–100 score with a verdict, or to make a blind head-to-head comparison of two research ideas. Thin or missing sections are noted as assumptions rather than blocking the review.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/microsoft/researchstudio/idea_quality
About the project

ResearchStudio is a collection of skills that helps researchers develop an initial research direction into a paper and its related publication materials. It is used with Claude Code and Codex to create outputs such as papers, posters, videos, blogs, and reels. The catalogue entries are its own workflow skills for different stages of the research lifecycle.

microsoft/ResearchStudio · 3,264 stars · on GitHub · aka.ms

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 microsoft/ResearchStudio --skill idea_quality
Clone the repo
git clone --depth 1 https://github.com/microsoft/ResearchStudio

Made for: Claude Code, Codex.

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 idea-quality

README.md
[![agentmods](https://agentmods.dev/badge/skills/microsoft/researchstudio/idea_quality/github.svg)](https://agentmods.dev/skills/microsoft/researchstudio/idea_quality)
Your own site
<a href="https://agentmods.dev/skills/microsoft/researchstudio/idea_quality"><img src="https://agentmods.dev/badge/skills/microsoft/researchstudio/idea_quality/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 idea-quality

Your own site · 80×15
<a href="https://agentmods.dev/skills/microsoft/researchstudio/idea_quality"><img src="https://agentmods.dev/badge/skills/microsoft/researchstudio/idea_quality.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 215 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,378 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 $0.00215 $0.02378
Opus 5.5 $0.00086 $0.00951
Sonnet 5.5 $0.00043 $0.00476
Haiku 4.5 $0.00021 $0.00238

Measured 1mo ago against content hash 2defd8d45c65, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

idea-quality 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.

ResearchStudio-Idea/evaluation/idea_quality/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Idea Quality

Judge how strong a research idea is at the idea stage — before any experiments exist — and return a quality score with reasons a reviewer would recognize. This skill is self-contained: it judges from first principles on the three axes below. It consults no external corpus, dataset, or other skill, so its judgment is reproducible from the idea text alone.

Input: an idea Markdown file

The idea is a .md file with three sections. Read the file, then map each section to what it feeds:

# Title
<≤ ~15 words: the idea's handle>

## Motivation
<the bottleneck / gap the idea attacks, why it matters, and why it is still open>

## Method
<the proposed contribution as concrete numbered steps>
  • Title → the handle.
  • Motivation → feeds Axis A (is the problem worth attacking) and gives Axis C the "problem" half.
  • Method → feeds Axis B (is the method good) and gives Axis C the "method" half.

If a section is missing or thin, infer the most reasonable reading from the rest and note the assumption in the report — do not stall asking for clarification. If the user passes two files (or one file with two ideas) and wants a comparison, run the pairwise track.

Scope: what this judges, and what it deliberately does not

  • No experiments exist. Every axis is a reasoning-level judgment — the kind a reviewer makes from an abstract before seeing results. Never invent or assume experimental results to score with. If a claim's truth would need an experiment, judge the plausibility of its argument, not an imagined outcome.
  • Not a prior-art check. "Has someone already done this?" is a separate literature-collision task. Judge whether the idea is good (real gap, deep method, sound + on-target), NOT whether a near-duplicate exists. Judge the contribution's intrinsic ambition, not its novelty against a literature search.

A strong score means the idea is strong; it does not predict acceptance, which also turns on execution this skill cannot see.

Read the full file on GitHub · 128 lines

Files

What ships with it

4 files 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. 1mo ago First seen · 128 lines · 215 tokens per session scan A 2defd8d45c65

Subscribe to this mod's changes

idea-quality is a skill published in the GitHub repository microsoft/ResearchStudio (3,264 stars, last pushed 25d ago), licensed MIT. It adds 215 tokens to every session and 2,378 once invoked, about $0.0009 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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