Paper fetcher vp

Skill VectorPeak/vectorpeak-agent-skills/knowledge-skills/paper-fetcher-vp

A structured collection of reusable Agent and Codex skills for software engineering, knowledge management, and professional workflow automation.

Install

npx -y skills add VectorPeak/vectorpeak-agent-skills --skill paper-fetcher-vp

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Use when the user provides a research paper screenshot, title, arXiv/OpenReview/publisher/project URL, or article excerpt and wants Codex to identify the paper, download and verify an official PDF, classify it into the 01.raw/08.Research taxonomy, choose an optional filename prefix with --name-prefix, and report a Zotero Add Item by Identifier value such as arXiv ID or DOI.

SKILL.md

5.3 KB, as published. Nobody here has run it

Paper Fetcher

When To Use

Use this skill when the user wants to identify, fetch, verify, rename, and store an academic paper PDF from a screenshot, title, URL, project page, or excerpt. Also use it when the user asks for the Zotero Add Item by Identifier value for a paper.

Do not use this skill for generated reading notes, summaries, synthesis pages, Zotero database editing, paywall bypasses, or non-official mirror collection unless the user explicitly asks for a separate downstream task.

Default Vault Contract

For this local LLM_wiki vault, default paper storage is the numbered raw research taxonomy under:

E:\LLM_wiki\LLM_wiki\01.raw\08.Research

Use the mapped field folder when the user does not provide a destination:

Field	PDF destination
`Agent`	`01.raw\08.Research\00.Agent`
`RAG`	`01.raw\08.Research\01.RAG`
`SFT`	`01.raw\08.Research\02.PostTraining\SFT`
`RL`	`01.raw\08.Research\02.PostTraining\RL`
`Training_Systems` or legacy `DL_Frameworks`	`01.raw\08.Research\03.Training_Systems`
`Personal`	`01.raw\08.Research\04.Personal`
`Other`	`01.raw\08.Research\05.Other`

Treat PDFs, .metadata.json sidecars, optional BibTeX sidecars, and raw paper metadata saved here as 01.raw source material. Default sidecars go into 01.raw\08.Research\_metadata. If --target-dir is supplied, treat it as the exact PDF destination directory and put sidecars in <target-dir>\_metadata.

Do not create generated notes, summaries, outlines, or wiki-ready interpretations inside 01.raw\08.Research; those belong later in 02.wiki or another user-specified notes destination.

Core Workflow

Extract title, authors, visible IDs, source URL, project URL, and candidate PDF URL from the user input.
Search online when needed and verify the strongest official match.
Prefer official sources in this order: arXiv, OpenReview, official publisher pages, official project pages, then GitHub READMEs that link to the paper.
Identify the best Zotero identifier: prefer arXiv ID, then DOI; if neither exists, report not available and include another source ID such as OpenReview ID.
Download the official PDF into a temporary path or the matching field folder under 01.raw\08.Research.
Read enough of the paper to choose exactly one field: RAG, Agent, SFT, RL, Training_Systems, Personal, or Other.
Choose a specific filename prefix with --name-prefix when possible, such as Survey, Benchmark, RepoContext, QLoRA, DPO, PPO, GRPO, DistributedTraining, LLMTraining, or PrivacyDeletion.
Run scripts/paper_postprocess.py to verify %PDF-, rename the PDF as {name-prefix}_{paper title}.pdf, write metadata, and report Zotero status.
Do not generate .bib files unless explicitly requested.

Load references/paper-fetcher-notes.md for detailed field classification, filename-prefix guidance, source handling, Zotero notes, and troubleshooting.

Key Commands

Postprocess a downloaded PDF into the default 08.Research taxonomy:

python scripts\paper_postprocess.py `
  --pdf "<downloaded-pdf>" `
  --title "Agent Harness Engineering: A Survey" `
  --field Agent `
  --name-prefix Survey `
  --authors "Junjie Li and Xi Xiao and Yunbei Zhang" `
  --source-url "https://openreview.net/pdf?id=eONq7FdiHa" `
  --zotero

Use an explicit destination directory:

python scripts\paper_postprocess.py `
  --pdf "<downloaded-pdf>" `
  --target-dir "E:\LLM_wiki\LLM_wiki\01.raw\08.Research\02.PostTraining\RL" `
  --title "Proximal Policy Optimization Algorithms" `
  --field RL `
  --name-prefix PPO `
  --arxiv-id "1707.06347" `
  --source-url "https://arxiv.org/pdf/1707.06347" `
  --zotero

Optional BibTeX sidecar generation exists only when explicitly requested:

python scripts\paper_postprocess.py `
  --pdf "<downloaded-pdf>" `
  --title "Proximal Policy Optimization Algorithms" `
  --field RL `
  --name-prefix PPO `
  --arxiv-id "1707.06347" `
  --source-url "https://arxiv.org/pdf/1707.06347" `
  --zotero `
  --bib

Safety Boundaries

Avoid non-official mirrors unless no official PDF is available. Do not bypass paywalls, login walls, or access controls.

If no reliable paper match is found, ask for a clearer screenshot/title/URL instead of guessing. If the PDF cannot be verified, delete or ignore the invalid file and report the failed source.

Do not create hand-written Zotero metadata entries through the Web API, store Zotero credentials in this skill, or edit Zotero local database files directly. Use Zotero Add Item by Identifier behavior as the primary import path.

Final Response

Always include paper title, arXiv ID or arXiv: not found, DOI or DOI: not found, Zotero Add Item by Identifier value or not available, other source ID when relevant, PDF source URL, saved local path, file size, and Zotero status.

Sync Rule

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