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Research Paper Integrity

OrganizationPopular
Leanmcp
research-paper-integrity

Standards and audits for writing academic papers, especially ML/NLP submissions to NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL. Covers the author's house prose rules (zero em dashes, zero fluff, every sentence earns its place), verification of hallucinated claims and hallucinated or malformed bibliography entries, the ACL policy on AI writing assistance and what must be disclosed, and best practices for paper structure, experiments, reproducibility checklists, and rebuttals. Use this skill whenever the user is drafting, editing, polishing, restructuring, or reviewing a paper, abstract, intro, related work, rebuttal, or camera-ready; whenever they ask to "clean up" or "tighten" academic writing; whenever citations or a .bib file need checking; and whenever they ask what has to be disclosed about AI assistance. Reach for it even when the user only says "make this section better", "check my references", or "is this ready to submit".

Overview

PublisherLeanmcp
Repositorygateway-skills
Skill nameresearch-paper-integrity
Stars
2.1K
Forks
2.1K
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Leanmcp on GitHub. Read the source before you install it.

Installation

Install the Research Paper Integrity AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Leanmcp/gateway-skills/tree/main/skills/research-paper-integrity
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Leanmcp/gateway-skills.git /tmp/gateway-skills
mkdir -p .claude/skills
cp -r /tmp/gateway-skills/skills/research-paper-integrity .claude/skills/research-paper-integrity
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Research Paper Integrity in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Research Paper Integrity on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Research Paper Integrity is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Research paper integrity

This skill is the index. Each area below lives in its own reference file so you only load what the current task needs. Read the file before acting on that area, not after, because these rules change what you write rather than how you check it afterwards.

What lives where

AreaFileRead it when
Prose rules: no em dashes, no fluff, necessity testreferences/writing-style.mdWriting or editing any prose the user will submit
Hallucination audit: unsupported claims, fake or wrong citations, bib hygienereferences/hallucination-audit.mdAny draft has claims or references that were not hand-verified
AI assistance disclosure (ACL 2023 policy and its logic)references/ai-writing-policy.mdThe user asks what to disclose, fills a responsible-NLP checklist, or used a model for text, ideas, or code
Conference craft: structure, experiments, figures, rebuttals, checklistsreferences/conference-writing.mdPlanning a paper, restructuring sections, prepping a submission or rebuttal

scripts/check_prose.py is a fast mechanical pass for em dashes, banned filler, hedge stacking, and suspicious bib entries. It catches the boring violations so your attention goes to the ones that need judgment. Per the user's global rule, do not run it yourself: write it into the relevant workspace if needed and hand over the exact command.

The three commitments

Everything in this skill reduces to three things the user cares about. Keep them in mind even when you have only loaded this index.

1. The text contains no em dashes and no filler. Not because em dashes are wrong in general, but because in this user's papers they signal a sentence that was never restructured, and filler signals a claim that was never sharpened. Replace an em dash with a period, a colon, a comma, or parentheses, whichever the actual logic calls for. Details and the filler list are in references/writing-style.md.

2. Every sentence has been asked twice whether it needs to exist. First pass: does this sentence carry information the reader does not already have? Second pass: if it does, is this the shortest honest form of it? A paragraph that survives both passes is usually a third shorter than the draft. Cutting is the main editing operation here, not rewording.

3. Nothing is asserted that has not been checked, and no reference is cited that has not been confirmed to exist. Fabricated citations and confidently wrong numbers are the two failure modes that end a paper's credibility, and both look completely normal in a draft. Treat every number, every "prior work shows", and every bib entry as unverified until you have traced it. Procedure in references/hallucination-audit.md.

Default workflow when handed a draft

Adapt this, do not perform it mechanically. If the user asked only for a citation check, do only that.

  1. Read the draft fully before changing anything. Local edits made without the whole argument in mind are how papers lose their thread.
  2. Run the hallucination audit first. There is no point polishing a sentence built on a claim that turns out to be unsupported, and finding a broken citation early changes what the surrounding paragraph should say.
  3. Then the prose pass: cut, de-fluff, remove em dashes, tighten.
  4. Then structure: does each section do the job references/conference-writing.md describes, in the order a reviewer reads.
  5. Report what you changed and, separately, what you could not verify. The second list matters more than the first. Never quietly leave an unverifiable claim in place without flagging it.

How to report

Give the user the edited text plus a short audit section. Something like:

## Changes
- Cut 4 sentences from the intro that restated the abstract
- Removed 11 em dashes, restructured the 3 sentences that needed it
- Section 4.2: "significantly improves" -> stated the actual delta and the test

## Could not verify (needs your call)
- [Smith 2021] claimed for the pretraining result: no paper by that name found in
  ACL Anthology or arXiv. Either the citation is wrong or the claim needs a source.
- Table 2 baseline number differs from the number quoted in Section 5.

Flagging honestly is the whole value here. A silent pass that leaves a fabricated citation in place is worse than no pass at all, because it launders the error.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Research Paper Integrity AI skill do?

Standards and audits for writing academic papers, especially ML/NLP submissions to NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL. Covers the author's house prose rules (zero em dashes, zero fluff, every sentence earns its place), verification of hallucinated claims and hallucinated or malformed bibliography entries, the ACL policy on AI writing assistance and what must be disclosed, and best practices for paper structure, experiments, reproducibility checklists, and rebuttals. Use this skill whenever the user is drafting, editing, polishing, restructuring, or reviewing a paper, abstract, intro, re...

Why use Research Paper Integrity on TypingMind?

Because you install it once and use it with any model. Research Paper Integrity is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Research Paper Integrity in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Leanmcp/gateway-skills/tree/main/skills/research-paper-integrity. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Research Paper Integrity?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Research Paper Integrity?

As many as you like. As long as a model supports skills, you can use Research Paper Integrity with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Research Paper Integrity AI skill free?

Yes. It is published on GitHub by Leanmcp under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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