paper-fulltext-harvest

paper-fulltext-harvest is a skill for Claude Code, Codex from jxtse/scientific-research-skills. It costs 276 tokens per session (3,643 once invoked), scanned A, original, MIT.

A batch downloader for retrieving the full text of academic papers from DOI lists. A DOI is a permanent identifier for a research publication; the tool uses publisher services, open-access copies, or a browser fallback where available.

In plain words
What is it for?
Use it to collect PDF or XML full text for papers from supported DOI prefixes and publisher families.
Why use it?
It removes much of the manual work involved in locating and downloading papers from different publishers and repositories.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is --output-dir ./downloads/ \.

Good fit Use it to collect PDF or XML full text for papers from supported DOI prefixes and publisher families.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/jxtse/scientific-research-skills
agentmods
npx agentmods add skills/jxtse/scientific-research-skills/paper-fulltext-harvest

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 paper-fulltext-harvest

README.md
[![agentmods](https://agentmods.dev/badge/skills/jxtse/scientific-research-skills/paper-fulltext-harvest/github.svg)](https://agentmods.dev/skills/jxtse/scientific-research-skills/paper-fulltext-harvest)
Your own site
<a href="https://agentmods.dev/skills/jxtse/scientific-research-skills/paper-fulltext-harvest"><img src="https://agentmods.dev/badge/skills/jxtse/scientific-research-skills/paper-fulltext-harvest/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.

agentmods 80×15 button for paper-fulltext-harvest

Your own site · 80×15
<a href="https://agentmods.dev/skills/jxtse/scientific-research-skills/paper-fulltext-harvest"><img src="https://agentmods.dev/badge/skills/jxtse/scientific-research-skills/paper-fulltext-harvest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 276 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,643 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00276 $0.03643
Opus 5.5 $0.00110 $0.01457
Sonnet 5.5 $0.00055 $0.00729
Haiku 4.5 $0.00028 $0.00364

Measured 2mo ago against content hash eff9f904b789, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

paper-fulltext-harvest 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 7 executable files (scripts/auto_paper_download/__init__.py, scripts/auto_paper_download/__main__.py, scripts/auto_paper_download/clients.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.

skills/paper-fulltext-harvest/SKILL.md · 257 lines

How it starts

The opening of the file, as written. The whole thing — 257 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Paper Full-text Harvest

Pipeline for downloading academic paper full-text at scale. Handles the three classes of sources that exist in 2026:

  1. Publisher TDM APIs (Elsevier / Wiley / Springer) — for paywalled content where the institution has a subscription
  2. OA aggregators (Unpaywall / OpenAlex / Crossref) — for Open Access copies regardless of publisher
  3. Browser fallback (logged-in user profile) — for paywalled publishers without a TDM API (ACS / RSC / IEEE / AIP / IOP / APS / T&F / many CN journals)

The publisher router (auto_paper_download/publishers.py) recognises 25 DOI prefixes across 19 families, each annotated with the right downstream path (TDM client / OA aggregator / browser fallback) and a support tier. The router is shared with the standalone auto-paper-harvester CLI — see SUPPORTED_PUBLISHERS.md there for the full per-publisher table.

Decision tree

Have a DOI list?
├── DOIs from Elsevier (10.1016, 10.1006, 10.1011)
│   └── Use ElsevierClient (TDM XML API)             → §1
├── DOIs from Wiley (10.1002, 10.1111)
│   └── Use WileyClient (TDM PDF API)                → §1
├── DOIs from Springer/Nature (10.1007, 10.1038, 10.1186, 10.1147)
│   ├── OA papers → SpringerClient OA API            → §1
│   └── Subscription papers → fall through to OA/browser
├── Browser-only publishers without TDM API
│   (10.1021 ACS, 10.1039 RSC, 10.1126 Science, 10.1109 IEEE,
│    10.1063 AIP, 10.1088/10.1143 IOP, 10.1103 APS, 10.1146 Annual Reviews,
│    10.1080 T&F, 10.1116 AVS, 10.1149 ECS, 10.1364 Optica, 10.3938 KPS)
│   ├── Try OA first via Unpaywall/OpenAlex          → §2
│   └── Last resort: browser fallback                → §3
├── OA-leaning publishers (10.1073 PNAS, 10.3762 Beilstein)
│   └── OpenAlex/Unpaywall usually works             → §2
└── Mixed list (typical case)
    └── Use the orchestrated CLI (handles all of the above) → §0

Read the full file on GitHub · 257 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. 2mo ago First seen · 257 lines · 0 tokens per session scan A eff9f904b789

Subscribe to this mod's changes

paper-fulltext-harvest is a skill published in the GitHub repository jxtse/scientific-research-skills (78 stars, last pushed 5mo ago), licensed MIT. It adds 276 tokens to every session and 3,643 once invoked, about $0.0011 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 2026-08-30.

Related

paper-fulltext-harvest compared with skills from other repositories

paper-fulltext-harvest next to 6 skills from other repositories
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