AgentStack
Browse Sign in
Browse Why AgentStack Sell Docs
Sign in
SKILL verified Apache-2.0 Self-run

Paper Fetcher Vp

skill-vectorpeak-vectorpeak-agent-skills-paper-fetcher-vp · by VectorPeak

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.

No reviews yet
0 installs
22 views
0.0% view→install

Install

$ agentstack add skill-vectorpeak-vectorpeak-agent-skills-paper-fetcher-vp

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-vectorpeak-vectorpeak-agent-skills-paper-fetcher-vp)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Paper Fetcher Vp? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

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 \_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

  1. Extract title, authors, visible IDs, source URL, project URL, and candidate PDF URL from the user input.
  2. Search online when needed and verify the strongest official match.
  3. Prefer official sources in this order: arXiv, OpenReview, official publisher pages, official project pages, then GitHub READMEs that link to the paper.
  4. 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.
  5. Download the official PDF into a temporary path or the matching field folder under 01.raw\08.Research.
  6. Read enough of the paper to choose exactly one field: RAG, Agent, SFT, RL, Training_Systems, Personal, or Other.
  7. Choose a specific filename prefix with --name-prefix when possible, such as Survey, Benchmark, RepoContext, QLoRA, DPO, PPO, GRPO, DistributedTraining, LLMTraining, or PrivacyDeletion.
  8. Run scripts/paper_postprocess.py to verify %PDF-, rename the PDF as {name-prefix}_{paper title}.pdf, write metadata, and report Zotero status.
  9. 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 "" `
  --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 "" `
  --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 "" `
  --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

????? skill ???????????? VectorPeak/vectorpeak-agent-skills?????????????

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet, be the first.

Versions

  • v0.1.0 Imported from the upstream source.