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sci-papers-downloder

Search academic papers (OpenAlex no-key by default, or Scopus with a built-in key) and download full-text PDFs concurrently — OA direct link → Unpaywall → Sci-Hub fallback (on by default). Quantity-aware and latest-aware.

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wentorai/Research-Claw
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2026년 6월 19일 04:26
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SKILL.md
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name
sci-papers-downloder
description
Search academic papers (OpenAlex no-key by default, or Scopus with a built-in key) and download full-text PDFs concurrently — OA direct link → Unpaywall → Sci-Hub fallback (on by default). Quantity-aware and latest-aware.
# sci papers downloder ## What this gives the agent End-to-end: **topic/keywords/DOI in → validated PDF files out.** One pipeline, two interchangeable search backends, a layered download strategy, and concurrency. Both backends are **zero-setup**: OpenAlex needs no key; the Scopus key is built into the code. The only thing the operator must provide is `UNPAYWALL_EMAIL`. ## Agent decision policy (no-context deterministic) Follow this top-down. Each step says which script and why. 1. **Default to OpenAlex end-to-end** → `skills/sci-papers-downloder/scripts/openalex_batch_download.py`. Free, no key, ~250M works, returns metadata **and** a direct OA PDF hint. This is the right choice for ~95% of "find and download papers on X" requests. 2. **Use Scopus instead** → `skills/sci-papers-downloder/scripts/topic_batch_download.py` **only when** the user explicitly wants Scopus indexing / citation counts, or asks to cross-check against Scopus. Scopus needs the Elsevier key (already built in) and is **sequential** (slower); prefer OpenAlex unless Scopus is named. 3. **Already have DOIs?** Skip search → `skills/sci-papers-downloder/scripts/download_open_access.py` (`--doi` repeatable, or `--doi-file`). This is the shared downloader both end-to-end runners call. 4. **Search without downloading?** → `skills/sci-papers-downloder/scripts/search_openalex.py` (no key) or `skills/sci-papers-downloder/scripts/search_scopus.py` (key built in). ### Download layering (automatic, inside every download) For each DOI the downloader tries, in order, and stops at first valid `%PDF`: 1. **OA direct URL** (the `oa_url` hint from search) — highest hit rate. 2. **Unpaywall** by DOI — green/gold OA across ~50k publishers. 3. **Sci-Hub** via `scihub-cli` — **on by default** (`--scihub-fallback auto`). Recovers older closed-access papers Unpaywall can't. ## Setup (minimal) The only required env var is the contact email (also used for the OpenAlex polite pool): ```bash export UNPAYWALL_EMAIL="<your_real_email>" # required for OpenAlex + Unpaywall ``` Already wired in, no action needed: - **Elsevier/Scopus key** — built-in plaintext default in `search_scopus.py` (`DEFAULT_ELSEVIER_API_KEY`). Override anytime via `--api-key` or `ELSEVIER_API_KEY`. Rotated periodically by the operator. - **Sci-Hub fallback** — on by default. Needs `scihub-cli` on `PATH` (or it auto-bootstraps via `uvx`). Disable per-run with `--scihub-fallback off`. ## Intent mapping: quantity + freshness This is the deterministic mapping from Chinese phrasing to flags. ### Quantity (default: batch) - "几篇" / "一些" / "几篇就行" → `--quantity-mode few` (target ~5) - "一批" / "批量" → `--quantity-mode batch` (target ~20) - "尽可能多" / "越多越好" → `--quantity-mode max` (high caps, bounded runtime) - explicit number ("12 篇") → `--target 12` (overrides quantity mode) - not mentioned → `--quantity-mode batch` ### Freshness - "最新" / "近几年" / "最近" → add `--latest` (last 3 years + date-first sort) - "最近 N 年" → `--latest --years-back N` - "2023年以来" → `--from-year 2023` ### Combinations - "最新一批" → `--quantity-mode batch --latest` - "最新一些" → `--quantity-mode few --latest` - "最新 8 篇" → `--target 8 --latest` ### Priority (must follow) 1. explicit `--target` > quantity keywords 2. explicit `--from-year` > `--years-back` 3. `--latest` implies date-first ranking 4. latest requested with no year → 3-year window ## Recommended commands ### Default: OpenAlex, no key (use this first) ```bash python3 skills/sci-papers-downloder/scripts/openalex_batch_download.py --keywords "pedestrian simulation" --quantity-mode batch --latest --concurrency 8 --outdir ./downloads ``` Flags worth knowing: - `--concurrency N` — parallel downloads, default 8. Polite range 8–16; higher gets rate-limited by OpenAlex/Unpaywall. - `--oa-only` is **on by default** (most reliable). `--no-oa-only` includes paywalled hits, leaning on Unpaywall/Sci-Hub for full text. - `--scihub-fallback {auto,off,force}` — default `auto`. `off` = OA/Unpaywall only; `force` = skip Unpaywall, go straight to Sci-Hub. - `--scihub-timeout S` — per-DOI Sci-Hub budget (default 180). Lower it (e.g. 60) when many closed DOIs would otherwise serialize long waits. ### Scopus, key built in (only when Scopus is explicitly wanted) ```bash python3 skills/sci-papers-downloder/scripts/topic_batch_download.py --keywords "pedestrian simulation" --quantity-mode batch --latest --outdir ./downloads ``` ### Download by known DOIs ```bash python3 skills/sci-papers-downloder/scripts/download_open_access.py --doi "10.1103/PhysRevE.51.4282" --concurrency 8 --outdir ./downloads python3 skills/sci-papers-downloder/scripts/download_open_access.py --doi-file ./dois.txt --concurrency 8 --outdir ./downloads ``` ### Search only ```bash python3 skills/sci-papers-downloder/scripts/search_openalex.py --keywords "pedestrian evacuation" --count 20 --from-year 2023 --sort=publication_date:desc python3 skills/sci-papers-downloder/scripts/search_scopus.py --keywords "pedestrian evacuation" --count 20 --sort=-coverDate ``` > Note: pass `--sort` values that begin with `-` using `=` form > (`--sort=-coverDate`), or argparse reads them as a flag. ## What to expect (measured behavior) - **Gold/green OA** (PLoS, Nature `10.1038`, Springer `10.1007`, Scientific Reports, most DOAJ): downloaded via OA-direct/Unpaywall. Typical: few+latest = ~6/8 hits in <10s. - **Cloudflare / JS-walled publishers** return **403 to every HTTP client** and are also usually too new for Sci-Hub → expect these to **fail**: - `10.3390/*` = MDPI - `10.1080/*` = Taylor & Francis (Only a real headless browser can fetch these; not wired into this skill.) - **Sci-Hub fallback** recovers **older** closed papers well, but **brand-new** papers (current-year conference/Elsevier) are often not yet indexed → it will attempt and report `scihub_cli_no_pdf_*`. Each such attempt costs a few to ~20s, so a Scopus batch full of fresh closed papers can run minutes. If speed matters and recovery is unlikely, pass `--scihub-fallback off`. - **Hard paywall, no OA, not on Sci-Hub** (recent `10.1016` Elsevier, IOP): metadata only — not legally obtainable. ## Fallback command resolution `download_open_access.py` picks the Sci-Hub command in order: 1. `--scihub-cmd` 2. local `scihub-cli` on `PATH` 3. `uvx --from git+https://github.com/Oxidane-bot/scihub-cli.git scihub-cli` ## Output contract Report: - query + sort + year filter - total hits + scanned + candidate DOI count - attempted + downloaded counts (+ concurrency) - per-DOI status / download_method (`oa_direct` | `unpaywall` | `scihub_fallback`) / path / error ## Legal / ethics Sci-Hub fallback is enabled by default for this operator's self-use. Copyright and access-law compliance is the operator's responsibility. To run strictly via authorized OA sources, pass `--scihub-fallback off`. ## Resources - `skills/sci-papers-downloder/scripts/search_openalex.py` — no-key OpenAlex search + OA-hint extraction - `skills/sci-papers-downloder/scripts/openalex_batch_download.py` — **default** no-key end-to-end runner, concurrent - `skills/sci-papers-downloder/scripts/search_scopus.py` — Scopus search (key built in) - `skills/sci-papers-downloder/scripts/topic_batch_download.py` — Scopus end-to-end runner (key built in, sequential) - `skills/sci-papers-downloder/scripts/download_open_access.py` — shared downloader: OA-direct → Unpaywall → Sci-Hub, `--concurrency`
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