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Citation Verifier

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WILLOSCAR
citation-verifier

Generate and verify BibTeX entries from paper notes, writing `citations/ref.bib` and `citations/verified.jsonl`.

Overview

PublisherWILLOSCAR
Repositoryresearch-units-pipeline-skills
Skill namecitation-verifier
Stars
513
Forks
39
Bundled files
1
Links
Skill sourceRepository
  • 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.

  • 1 bundled files

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

  • Open source

    Published by WILLOSCAR 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/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/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/WILLOSCAR/research-units-pipeline-skills.git /tmp/research-units-pipeline-skills
mkdir -p .claude/skills
cp -r /tmp/research-units-pipeline-skills/.codex/skills/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

Triggers & routing

  • Trigger: citation, BibTeX, ref.bib, verified.jsonl, references, 引用, 参考文献.
  • Use when: 已有 papers/paper_notes.jsonl，需要为 prose/LaTeX 准备可追溯的引用（每条都有 url/date/title 验证记录）。

Generate citations/ref.bib and ensure every entry has a traceable verification record in citations/verified.jsonl.

When network access is restricted, prefer a “record now, verify later” workflow: keep URLs/titles consistent and leave a clear verification note.

Input

  • papers/paper_notes.jsonl

Outputs

  • citations/ref.bib
  • citations/verified.jsonl

Workflow (heuristic)

  1. Collect bibkey, title, url, year, authors from papers/paper_notes.jsonl.
  2. Write/refresh citations/ref.bib:
    • Prefer arXiv-style fields when arxiv_id / primary_category exist (eprint, archivePrefix, primaryClass).
  3. Write one verification record per BibTeX entry to citations/verified.jsonl with at least:
    • bibkey, title, url, date
  4. If you cannot verify via network, record a clear notes field (e.g., “auto-generated; needs manual verification”) and/or request human confirmation depending on your policy.

Quality checklist

  • Every BibTeX entry has a corresponding verified.jsonl record.
  • No missing url/date/title in verification records.

Offline Mode

When network access is restricted, run in offline mode to produce auditable records now, then verify later.

  • Generate offline records: verification_status: offline_generated
  • Verify later (when network is available): --verify-only

verification_status

  • offline_generated: record was generated without network verification (needs later verification)
  • verified_online: URL/title verified successfully by the script
  • verify_failed: verification was attempted but failed (network error or title mismatch)
  • needs_manual_verification: missing/ambiguous fields (e.g., empty url/title)

Script

Quick Start

  • uv run python .codex/skills/citation-verifier/scripts/run.py --help
  • Offline (record now, verify later): uv run python .codex/skills/citation-verifier/scripts/run.py --workspace <workspace> --offline

All Options

  • --offline: do not attempt network verification; write verification_status=offline_generated
  • --verify-only: verify existing citations/verified.jsonl records (does not rewrite BibTeX)
  • --verification-note <text>: stored in citations/verified.jsonl notes

Examples

  • Generate BibTeX + offline verification records:
    • uv run python .codex/skills/citation-verifier/scripts/run.py --workspace <workspace> --offline --verification-note "auto-generated; needs manual verification"
  • Later, verify-only (when network is available):
    • uv run python .codex/skills/citation-verifier/scripts/run.py --workspace <workspace> --verify-only

Notes

  • Minimal requirement for every verification record: url, date, title.
  • The script sanitizes stray/unbalanced {} in titles to keep bibtex parsing robust.
  • The script escapes LaTeX special chars in text fields (& % $ # _) and rewrites superscript patterns like X^N or X$^N$ as X\textsuperscript{N} to keep LaTeX builds stable.
  • URLs are kept raw in BibTeX url fields (BibTeX styles wrap them with \url{...}); @misc uses howpublished=\url{...}.
  • In offline mode, records are not truly verified; treat offline_generated as a to-do for human/network verification.

Troubleshooting

Common Issues

Issue: Missing bibkey / missing url in notes

Symptom:

  • citations/ref.bib is missing entries, or verified.jsonl has empty url/title.

Causes:

  • papers/paper_notes.jsonl lacks bibkey/url fields.

Solutions:

  • Ensure each core paper note has a stable bibkey and a canonical url.
  • Rerun citation generation after fixing notes.
Issue: verification_status=offline_generated

Symptom:

  • Records exist but are not truly verified.

Causes:

  • --offline was used, or network verification was unavailable.

Solutions:

  • When network is available, run --verify-only to upgrade records.
  • Or manually verify and update citations/verified.jsonl with notes.

Recovery Checklist

  • Every BibTeX entry has a matching citations/verified.jsonl record.
  • Verification records include url, date, title.

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?

Generate and verify BibTeX entries from paper notes, writing `citations/ref.bib` and `citations/verified.jsonl`.

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/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/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?

It is published on GitHub by WILLOSCAR. Check the repository for licensing terms. 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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