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Citation Verifier

Community
Boom5426
citation-verifier

Use when checking manuscript citations, bibliography hygiene, DOI or PMID completeness, placeholder references, or BibTeX consistency before submission or revision.

Overview

PublisherBoom5426
RepositoryNature-Paper-Skills
Skill namecitation-verifier
Stars
570
Forks
48
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

    Published by Boom5426 on GitHub. Read the source before you install it.

Installation

Install the Citation Verifier 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/Boom5426/Nature-Paper-Skills/tree/main/skills/core/citation-verifier
  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/Boom5426/Nature-Paper-Skills.git /tmp/Nature-Paper-Skills
mkdir -p .claude/skills
cp -r /tmp/Nature-Paper-Skills/skills/core/citation-verifier .claude/skills/citation-verifier
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Citation Verifier 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 Citation Verifier 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 Citation Verifier 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.

Citation Verifier

Overview

Use this skill when citation integrity is the bottleneck. It is narrower and more operational than general writing skills: the goal is to catch unverifiable references, missing identifiers, duplicated BibTeX keys, placeholder citations, and mismatches between local citation artifacts before they become submission problems.

Use this skill together with scientific-writing or submission-audit, not instead of them.

This is stage one of three. It shows the bibliography is well-formed; it cannot show that the cited papers are real, and it cannot show that a real paper supports the sentence citing it. Hand the surviving entries to reference-audit-guide (optional set, installed with --set all), which queries CrossRef, Semantic Scholar, arXiv, and PubMed to confirm existence and match metadata, then to claim-source-verification for claim-to-evidence support. When reference-audit-guide is not installed, say that existence was not machine-verified rather than letting a clean local scan stand in for it. A fabricated citation carrying a well-formed DOI passes this skill and fails the next one.

When To Use

Use this skill when:

  • a manuscript is close to submission or resubmission
  • the bibliography may contain placeholders, guessed entries, or stale metadata
  • a .bib file needs a hygiene pass
  • the draft mixes DOI, arXiv, PMID, or plain-text references inconsistently
  • you need to verify that local citation artifacts are ready before manual or online source verification

Do not use this skill for:

  • generic literature discovery from scratch
  • full manuscript restructuring
  • venue formatting that does not depend on citation integrity

Local First Pass

Start with a local citation scan before any online verification.

The helper script:

bash
python ~/.agents/skills/citation-verifier/scripts/scan_citations.py path/to/file_or_dir [...]
# Claude Code (global install): replace ~/.agents/skills with ~/.claude/skills
# Claude Code (project-local install): replace ~/.agents/skills with .claude/skills

Use it to find:

  • [CITATION NEEDED] or similar placeholders
  • PLACEHOLDER_... citation keys
  • TODO: verify markers
  • DOI, arXiv, and PMID tokens
  • LaTeX \cite{...} keys
  • duplicate BibTeX keys inside .bib files

Treat imported BibTeX and Google Scholar-style exports as draft metadata, not as verified truth.

Verification Order

  1. Scan the local draft and bibliography artifacts.
  2. Remove or flag all placeholder citations.
  3. Check BibTeX-key uniqueness and obvious identifier gaps.
  4. Normalize metadata fields that are commonly wrong in copied BibTeX:
    • author list and spelling
    • year
    • venue or journal name
    • volume, issue, pages, or article number
    • DOI versus preprint identifier
  5. For every citation that matters to a scientific claim, verify the paper exists in trusted sources.
  6. If a claim depends on a specific result, confirm the cited paper actually supports that claim. For a systematic pass over many such claims, hand off to claim-source-verification: existence and metadata checks do not catch a real paper made to carry a conclusion it does not reach.
  7. Only then finalize formatting for the venue.

Severity Grading

When you report field-level mismatches, grade each one so authors fix the dangerous ones first:

  • Critical (must fix): wrong or fabricated first author, reversed author order, a DOI that resolves to a different paper, a title whose core terms do not match, or a page range off by five or more.
  • Warning (verify): volume-year inconsistent with the DOI-registration year, a missing or extra issue number, a missing middle initial, a page range off by one to four, or an ambiguous publisher-name variant.
  • Info (note only): title case versus sentence case, abbreviated versus full journal name, and punctuation or conjunction differences (and versus &).

Two checks are easy to miss and worth running explicitly:

  • Volume-year versus DOI-year: a citation whose stated volume-year differs from the year encoded in the DOI or the online-publication date is a common sign of a miscopied entry.
  • Author-order reversal: verify the first author specifically, not just that all names are present; a reversed or shifted author list still passes a set-membership check.

Roll each reference up to one confidence verdict: verified, check_suggested (has a Warning), needs_fix (has a Critical), or unverifiable (no source could confirm it).

Trusted Verification Sources

Prefer this order when moving beyond local scans:

  • publisher page or DOI resolver
  • PubMed for biomedical papers
  • arXiv for preprints
  • Crossref or Semantic Scholar for metadata cross-checking
  • Google Scholar only as a fallback discovery aid, not as the sole source of truth

Common Failure Modes

  • writing BibTeX from memory
  • leaving placeholder citation keys in the draft
  • assuming an arXiv preprint and published version are interchangeable
  • citing a paper correctly but using it to support a claim it does not make
  • letting duplicate BibTeX keys silently overwrite entries
  • blindly trusting copied Scholar or BibTeX metadata for venue names, pages, years, or DOI fields

Output Standard

When using this skill, report:

  • placeholder or unverifiable items
  • duplicate or suspicious BibTeX keys
  • missing or inconsistent DOI/arXiv/PMID information
  • suspicious metadata fields that need manual correction
  • claims that still need source verification
  • the minimum safe next step before submission

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 Citation Verifier AI skill do?

Use when checking manuscript citations, bibliography hygiene, DOI or PMID completeness, placeholder references, or BibTeX consistency before submission or revision.

Why use Citation Verifier on TypingMind?

Because you install it once and use it with any model. Citation Verifier 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 Citation Verifier in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Boom5426/Nature-Paper-Skills/tree/main/skills/core/citation-verifier. 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 Citation Verifier?

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 Citation Verifier?

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

Is the Citation Verifier AI skill free?

Yes. It is published on GitHub by Boom5426 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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