How do I install the Bibtex Fetch skill?

Run npx skillmds@latest add jiahao-shao1/bibtex-fetch in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Bibtex Fetch safe to use?

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Which AI agents work with Bibtex Fetch?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Bibtex Fetch free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Bibtex Fetch?

jiahao-shao1 (@jiahao-shao1) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Bibtex Fetch by jiahao-shao1 — Agent Skill

Name: Bibtex Fetch
Author: jiahao-shao1

Bibtex Fetch

Fetch BibTeX entries from arXiv / Semantic Scholar. Triggers: 'fetch bibtex', 'cite this paper', 'arXiv bibtex', '拉 bibtex', '获取引用', '引用这篇论文'. Not for citation format conversion (APA/MLA) or literature review.

jiahao-shao1 Updated Sep 17, 2026

File contents

BibTeX Fetch

Fetch correct BibTeX entries from arXiv (by ID) or Semantic Scholar (by title search). Zero dependencies — uses only Python stdlib.

Script

scripts/bibtex_fetch.py — single self-contained Python script.

Commands

Fetch by arXiv ID

Given one or more arXiv IDs, fetch metadata from the arXiv API and generate BibTeX.

python3 scripts/bibtex_fetch.py fetch <arxiv_id> [<arxiv_id> ...] [--key <bibkey> ...]

Examples:

# Single paper
python3 scripts/bibtex_fetch.py fetch 2312.14135

# Multiple papers
python3 scripts/bibtex_fetch.py fetch 2312.14135 2505.14362 2408.15556

# With custom bibkeys
python3 scripts/bibtex_fetch.py fetch 2312.14135 --key vstar

# Full URL also works
python3 scripts/bibtex_fetch.py fetch https://arxiv.org/abs/2312.14135

Output: Standard @article{...} BibTeX entries, ready to paste into .bib files.

Search by title

Search Semantic Scholar for papers matching a query, then auto-fetch BibTeX for results that have arXiv IDs.

python3 scripts/bibtex_fetch.py search "<query>"

Examples:

python3 scripts/bibtex_fetch.py search "V* Guided Visual Search"
python3 scripts/bibtex_fetch.py search "DeepEyes Thinking with Images"

Output: Top 5 search results with author, year, and arXiv ID, followed by BibTeX for all results that have arXiv IDs.

Workflow

When the user asks to cite a paper:

If they provide an arXiv ID or URL → use fetch
If they provide a paper title or description → use search
If they provide a .bib file and ask to check/fix entries → extract arXiv IDs from the file, fetch them, compare with existing entries

Implementation Details

arXiv API: Batches up to 20 IDs per request. 1s delay between batches.
Semantic Scholar API: No auth key needed. 0.5s delay. 429 auto-retry with 5s backoff.
Bibkey generation: {first_author_last_name}{year}{first_significant_title_word} (e.g., wu2023guided)
Author format: Last, First style, max 5 authors then and others
URL cleaning: Strips https://arxiv.org/abs/ prefix and version suffixes (v1, v2)

Error Handling

Error	Behavior
arXiv ID not found	Prints `% NOT FOUND: <id>` to stderr, continues with next
Semantic Scholar 429	Waits 5s and retries once
Network timeout	Prints error to stderr, continues with remaining IDs
Non-arXiv paper in search	Shows in results list but no BibTeX generated

---name: bibtex-fetchdescription: Fetch BibTeX entries from arXiv / Semantic Scholar. Triggers: 'fetch bibtex', 'cite this paper', 'arXiv bibtex', '拉 bibtex', '获取引用', '引用这篇论文'. Not for citation format conversion (APA/MLA) or literature review.---# BibTeX FetchFetch correct BibTeX entries from arXiv (by ID) or Semantic Scholar (by title search). Zero dependencies — uses only Python stdlib.## Script`scripts/bibtex_fetch.py` — single self-contained Python script.## Commands### Fetch by arXiv IDGiven one or more arXiv IDs, fetch metadata from the arXiv API and generate BibTeX.```bashpython3 scripts/bibtex_fetch.py fetch <arxiv_id> [<arxiv_id> ...] [--key <bibkey> ...]```**Examples:**```bash# Single paperpython3 scripts/bibtex_fetch.py fetch 2312.14135# Multiple paperspython3 scripts/bibtex_fetch.py fetch 2312.14135 2505.14362 2408.15556# With custom bibkeyspython3 scripts/bibtex_fetch.py fetch 2312.14135 --key vstar# Full URL also workspython3 scripts/bibtex_fetch.py fetch https://arxiv.org/abs/2312.14135```**Output:** Standard `@article{...}` BibTeX entries, ready to paste into `.bib` files.### Search by titleSearch Semantic Scholar for papers matching a query, then auto-fetch BibTeX for results that have arXiv IDs.```bashpython3 scripts/bibtex_fetch.py search "<query>"```**Examples:**```bashpython3 scripts/bibtex_fetch.py search "V* Guided Visual Search"python3 scripts/bibtex_fetch.py search "DeepEyes Thinking with Images"```**Output:** Top 5 search results with author, year, and arXiv ID, followed by BibTeX for all results that have arXiv IDs.## WorkflowWhen the user asks to cite a paper:1. If they provide an arXiv ID or URL → use `fetch`2. If they provide a paper title or description → use `search`3. If they provide a `.bib` file and ask to check/fix entries → extract arXiv IDs from the file, `fetch` them, compare with existing entries## Implementation Details- **arXiv API**: Batches up to 20 IDs per request. 1s delay between batches.- **Semantic Scholar API**: No auth key needed. 0.5s delay. 429 auto-retry with 5s backoff.- **Bibkey generation**: `{first_author_last_name}{year}{first_significant_title_word}` (e.g., `wu2023guided`)- **Author format**: `Last, First` style, max 5 authors then `and others`- **URL cleaning**: Strips `https://arxiv.org/abs/` prefix and version suffixes (`v1`, `v2`)## Error Handling| Error | Behavior ||-------|----------|| arXiv ID not found | Prints `% NOT FOUND: <id>` to stderr, continues with next || Semantic Scholar 429 | Waits 5s and retries once || Network timeout | Prints error to stderr, continues with remaining IDs || Non-arXiv paper in search | Shows in results list but no BibTeX generated |

Frequently asked questions