What is paper-crawler?

A paper-collection tool for finding research papers across sources such as arXiv, OpenAlex, Semantic Scholar, and USENIX proceedings. It can standardize records, remove duplicates, and optionally download PDFs.

Use it to gather candidate papers for a literature review or survey, with normalized metadata and optional preference for CCF-ranked venues.

It reduces the manual work of searching several research databases and cleaning their results into one collection.

How Guo-Chenxu/paper-agent configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to Guo-Chenxu/paper-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/Guo-Chenxu/paper-agent/main/.claude/skills/paper-crawler/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/Guo-Chenxu/paper-agent

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/guo-chenxu/paper-agent/paper-crawler/github.svg)](https://agentmods.dev/skills/guo-chenxu/paper-agent/paper-crawler)

Your own site

<a href="https://agentmods.dev/skills/guo-chenxu/paper-agent/paper-crawler"><img src="https://agentmods.dev/badge/skills/guo-chenxu/paper-agent/paper-crawler/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/guo-chenxu/paper-agent/paper-crawler"><img src="https://agentmods.dev/badge/skills/guo-chenxu/paper-agent/paper-crawler.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,471 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00044	$0.01471
Opus 5.5	$0.00018	$0.00588
Sonnet 5.5	$0.00009	$0.00294
Haiku 4.5	$0.00004	$0.00147

Measured 2mo ago against content hash ed13cd87ad70, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

paper-crawler scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

The scan reads SKILL.md. This mod also ships 9 executable files (scripts/acm_crawler.py, scripts/arxiv_ccf_crawler.py, scripts/arxiv_crawler.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/paper-crawler/SKILL.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Paper Crawler

Skill Goal

Automated paper collection from multiple providers:

Multi-provider crawling: OpenAlex, arXiv, Semantic Scholar, USENIX proceedings
Metadata normalization and cross-provider deduplication
Optional PDF download with arXiv title-based fallback

When To Use

Need candidate papers from multiple public metadata sources
Want normalized metadata, deduplication, and CCF A/B venue preference
Starting a literature review or research survey workflow

Execution Time Warning

Paper crawling involves network requests to multiple external APIs, PDF downloads, and cross-provider deduplication, which can take a long time. It is recommended to set the Bash tool timeout to at least 15 minutes (timeout: 900000) when invoking crawler scripts. If the command is still running when the timeout is reached, extend and continue waiting rather than treating it as a failure.

Environment

Run crawler commands from the repository root with the active Python interpreter.

Required packages:

python -m pip install requests arxiv tqdm pytest

Optional Semantic Scholar API key:

export SEMANTIC_SCHOLAR_API_KEY=...

Scripts

Unified multi-provider crawler: ./scripts/multi_source_crawler.py
Shared record normalization and deduplication helpers: ./scripts/paper_record.py
OpenAlex provider: ./scripts/openalex_crawler.py
arXiv provider and title fallback: ./scripts/arxiv_crawler.py
Semantic Scholar provider: ./scripts/semantic_scholar_crawler.py
USENIX proceedings provider: ./scripts/usenix_crawler.py
Legacy OpenAlex wrappers: ./scripts/ieee_crawler.py, ./scripts/acm_crawler.py

References

CCF recommended venues: ./references/ccf_venues_all.json
Source: 中国计算机学会推荐国际学术会议和期刊目录(第七版, 2026年)

Collection Workflow

Step 1: Define External Crawl Inputs

All research-topic queries must come from command-line input. Do not rely on preset query strings in crawler code.

Recommended input parameters:

Read the full file on GitHub · 181 lines

Files

What ships with it

11 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 181 lines · 44 tokens per session scan A ed13cd87ad70

Subscribe to this mod's changes

paper-crawler is a skill published in the GitHub repository Guo-Chenxu/paper-agent (4 stars, last pushed 2d ago), licensed Apache-2.0. It adds 44 tokens to every session and 1,471 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Research

paper-crawler next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
paper-crawlerGuo-Chenxu/paper-agent	Skill	4	2d ago	Apache-2.0	A	44	Claude Code
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

paper-agent: Skill for Claude Code