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.
curl -O https://raw.githubusercontent.com/Guo-Chenxu/paper-agent/main/.claude/skills/paper-crawler/SKILL.mdgit clone --depth 1 https://github.com/Guo-Chenxu/paper-agentWrote 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.
[](https://agentmods.dev/skills/guo-chenxu/paper-agent/paper-crawler)<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.
<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>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 | $0.00022 | $0.00736 |
| Sonnet 5 | $0.00009 | $0.00294 |
| Haiku 4.5 | $0.00004 | $0.00147 |
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 10d ago.
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.
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:
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.
- references/ccf_venues_all.json 156 KB
- references/第七版中国计算机学会推荐国际学术会议和期刊目录（正式版）.pdf 339 KB
- scripts/acm_crawler.py 1.3 KB runs code
- scripts/arxiv_ccf_crawler.py 9.6 KB runs code
- scripts/arxiv_crawler.py 7.3 KB runs code
- scripts/ieee_crawler.py 1.3 KB runs code
- scripts/multi_source_crawler.py 12 KB runs code
- scripts/openalex_crawler.py 8.3 KB runs code
- scripts/paper_record.py 6.8 KB runs code
- scripts/semantic_scholar_crawler.py 4.2 KB runs code
- scripts/usenix_crawler.py 8.4 KB runs code
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.
- 10d ago First seen · 181 lines · 44 tokens per session scan A ed13cd87ad70
paper-crawler is a skill published in the GitHub repository Guo-Chenxu/paper-agent (2 stars, last pushed 1mo 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. 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.
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