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scoop-check Skill

AI Agent SkillPythonOpen source

Check whether a proposed research novelty (given a problem statement and claimed idea/novelty) overlaps with existing published work. TRIGGER when the user asks to verify research novelty, check if an idea is new, compare a proposed contribution to prior art, do a literature/prior-art search for a specific claim, or as Published by microsoft in ResearchStudio.

What is scoop-check Skill?

Check whether a proposed research novelty (given a problem statement and claimed idea/novelty) overlaps with existing published work. TRIGGER when the user asks to verify research novelty, check if an idea is new, compare a proposed contribution to prior art, do a literature/prior-art search for a specific claim, or as Published by microsoft in ResearchStudio. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
73/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Research
  • Data analysis use cases
  • Research use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use scoop-check Skill

  • Use it for data analysis.
  • Use it for research.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/ResearchStudio
  • Skill file: ResearchStudio-Idea/skills/scoop_check/SKILL.md

What it does

Check whether a proposed research novelty (given a problem statement and claimed idea/novelty) overlaps with existing published work. TRIGGER when the user asks to verify research novelty, check if an idea is new, compare a proposed contribution to prior art, do a literature/prior-art search for a specific claim, or as

Skill instructions

Scoop Check Systematically verify whether a proposed research novelty overlaps with existing literature. The goal is to either (a) surface prior work that already covers the claim, or (b) produce a crisp, defensible "delta" statement that distinguishes the proposed contribution. Inputs This skill requires exactly two inputs from the user: 1. Research problem — the specific issue, challenge, or gap in knowledge being addressed. 2. Novelty — the specific claimed contribution (new method, theorem, dataset, framing, or insight) that distinguishes this work from prior art. If either input is missing, vague, or conflated (e.g., the "novelty" merely restates the problem), infer the most reasonable interpretation and proceed immediately. Do not use AskUserQuestion or pause for confirmation at any point — always proceed directly through every step. Procedure Execute the steps below in order. At the start of the procedure, use TaskCreate to register all seven steps as tasks up front, then mark e

Explore related resources

Frequently asked questions

What is scoop-check?

scoop-check is a open-source AI agent skill with Copy skill directory. Check whether a proposed research novelty (given a problem statement and claimed idea/novelty) overlaps with existing published work.

Who is scoop-check best for?

scoop-check is best for reusing agent instructions, scripts, and references, data analysis workflows, research workflows.

How do I install scoop-check?

Install or run scoop-check using Copy skill directory. Check scoop-check for the latest setup command.

Is scoop-check actively maintained?

scoop-check may need a closer maintenance check before production use.

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Stars
898
Forks
53
Last commit
10 days ago
Repository age
3 months
License
MIT

Auto-fetched from GitHub.

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