scansci-pdf

scansci-pdf is a skill for Claude Code, Codex from Rimagination/scansci-pdf. It costs 200 tokens per session (2,905 once invoked), scanned A, original, Apache-2.0.

A research-paper tool for finding, downloading, and organizing academic papers. It can also export citations, which are records used to credit sources in research.

In plain words
What is it for?
Use it to search research literature, download one or many papers, export BibTeX or similar citation formats, and prepare systematic-review searches.
Why use it?
It reduces the manual work of locating papers, accessing them through open or institutional sources, and preparing citation files.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to search research literature, download one or many papers, export BibTeX or similar citation formats, and prepare systematic-review searches.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rimagination/scansci-pdf/skill
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Rimagination/scansci-pdf --skill skill
Clone the repo
git clone --depth 1 https://github.com/Rimagination/scansci-pdf

Made for: Claude Code, Codex.

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.

agentmods badge for scansci-pdf

README.md
[![agentmods](https://agentmods.dev/badge/skills/rimagination/scansci-pdf/skill.svg)](https://agentmods.dev/skills/rimagination/scansci-pdf/skill)
Your own site
<a href="https://agentmods.dev/skills/rimagination/scansci-pdf/skill"><img src="https://agentmods.dev/badge/skills/rimagination/scansci-pdf/skill.svg" alt="Measured on agentmods" height="20"></a>
Per session 200 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,905 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00200 $0.02905
Opus 5 $0.00100 $0.01452
Sonnet 5 $0.00040 $0.00581
Haiku 4.5 $0.00020 $0.00291

Measured 4d ago against content hash c8887bb7b638, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

scansci-pdf 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 4d 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.

skill/SKILL.md · 183 lines

How it starts

The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.

scansci-pdf — 学术论文下载 MCP 服务

⚠️ 修改反爬/嗅探/镜像相关代码前必读

先读 docs/PLAYBOOK.md:镜像健康唯一存储(domain_db wall_state 表)、 结构性失败签名表、节奏参数、已知死镜像清单、以及六条铁律(含"造轮子前先 grep 家底"—— 镜像健康存储曾被重复造过三代)。

概述

scansci-pdf 是一个 MCP 服务器,提供 17 个高层工具,覆盖学术论文的搜索、下载(开放获取 / 灰色源 / 机构渠道)、发现与队列准备、引文导出和诊断排障。下载引擎支持 13+ 数据源并行竞速、100+ 中国高校 WebVPN。

MCP 工具参考(17 个)

下载

工具 功能 关键参数
scansci_pdf_download 单篇下载(OA/灰色源/机构级联) identifier(必需)、strategy(可覆盖全局策略)、markdown/bibtex/download_si(可选)
scansci_pdf_batch_download 批量下载 identifiers(必需)、scihub_enabledbatch_id(断点续传)、resume(默认 true)
scansci_pdf_cache_clear 清理下载缓存 identifier(可选,省略清全部)

identifier 格式:DOI(10.1038/nature12373)、DOI URL、arXiv ID(2301.00001)。

下载策略(download_strategy,全局配置或单次 strategy= 覆盖)

策略 含义
fastest(默认) 全部源并行竞速(含灰色源,若 scihub_enabled=true
oa_first OA 源优先,失败后回退灰色源
scihub_first 灰色源优先,失败后回退合法源
scihub_only 仅 Sci-Hub
legal_only 仅合法源(Unpaywall/出版商/OpenAIRE 等),不碰 Sci-Hub/LibGen

来源授权不可被调度扩张:用户显式设置 scihub_enabled=falselegal_only 时,任何批量/车道调度都不会重新启用灰色源;只有显式 --scihub/scihub_enabled=true 或全局策略允许时才启用。

发现与队列准备

工具 功能 关键参数
scansci_pdf_find ScanSci Find 引擎:action=plan|estimate|smoke|calibrate 系统综述搜索协议 actionquerydomaindepthsample_size
scansci_pdf_expand_citations 引文追踪(Semantic Scholar/OpenCitations) queryrounds(≤5)、citation_source
scansci_pdf_prepare_queue 准备下载队列:action=verify|resolve_oa|build|full candidates_jsonquerylimit
scansci_pdf_search 关键词/作者搜索(OpenAlex) query/author/author_idlimityear_fromyear_tosort
scansci_pdf_parse_list 解析论文列表文件(APA/BibTeX/DOI 列表/表格) file_path(必需)
scansci_pdf_citation 导出引文 identifier(必需)、format(bibtex/ris/endnote/metadata)
scansci_pdf_zotero_push 推送已下载论文到 Zotero identifier(必需,需先下载)

Read the full file on GitHub · 183 lines

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.

  1. 4d ago Changed · +6 lines c8887bb7b638
  2. 8d ago First seen · 177 lines · 200 tokens per session scan A 458ee68b96f1

Subscribe to this mod's changes

scansci-pdf is a skill published in the GitHub repository Rimagination/scansci-pdf (848 stars, last pushed yesterday), licensed Apache-2.0. It adds 200 tokens to every session and 2,905 once invoked, about $0.0010 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 2026-08-30.

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