--- name: semantic-scholar-library-feed description: Work with a user's Semantic Scholar account to read Research Feeds, inspect private Library folders, add papers to folders, and resolve Semantic Scholar paper records from identifiers such as arXiv IDs. --- # Semantic Scholar Library & Feed ## Overview Use this skill to work against Semantic Scholar's authenticated Library and Research Feed surfaces without browser-driven login flows. Prefer the bundled CLI for Cookie Store inspection, browser-curl import, SSR probing, feed pagination, folder inspection, folder writes, and Graph `paper/batch` lookups. ## Quick Start 1. Check whether the fixed Cookie Store already exists: ```bash python3 scripts/semantic_scholar_cli.py cookie-summary ``` 2. If the Cookie Store is missing or stale, ask the user to copy an authenticated Semantic Scholar request as curl from browser DevTools, then import it: ```bash python3 scripts/semantic_scholar_cli.py import-curl \ --curl-file /tmp/semantic-scholar-request.sh ``` `import-header` is still available when the user already extracted only the raw Cookie header. 3. Check cookie health: ```bash python3 scripts/semantic_scholar_cli.py cookie-summary ``` 4. Choose the task module below. ## Cookie Store Save Semantic Scholar auth state under: - `~/.auth/semantic-scholar.cookies.json` - `~/.auth/semantic-scholar.cookie-header.txt` Treat `sid` and `s2` as the minimum required cookies for private Library and Feed access. If either is missing, ask the user for a fresh browser-copied curl and re-import it before touching private endpoints. Read [references/auth-and-cookies.md](references/auth-and-cookies.md) when you need the Cookie Store workflow or the curl import format. ## Task Modules ### Research Feed Use this path when the user wants feed export, history crawl, or local coarse filtering. 1. Probe SSR if you need to inspect `var DATA`: ```bash python3 scripts/semantic_scholar_cli.py ssr-dump --list-names ``` 2. Crawl the feed through `/api/1/library/folders/recommendations`: ```bash python3 scripts/semantic_scholar_cli.py feed-crawl \ --output /tmp/research-feed.json ``` 3. Persist output after every window. Do not wait for the entire crawl to finish. Read [references/research-feed.md](references/research-feed.md) when you need the SSR decode order, the real API path, or the pagination stop rules. ### Library Folder Use this path when the user wants folder contents, folder diffs, or bulk add operations. 1. Export a folder: ```bash python3 scripts/semantic_scholar_cli.py folder-entries \ --folder-id 13895811 \ --all-pages \ --output /tmp/folder.json ``` 2. Add a paper to a folder: ```bash python3 scripts/semantic_scholar_cli.py folder-add \ --paper-id 25f612200a3821c71b99819cd671f2e60df5b470 \ --paper-title 'AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent' \ --folder-ids 13895811 ``` Read [references/library.md](references/library.md) when you need endpoint behavior, `pageSize` limits, or the verified `entries/bulk` request shape. ### Paper ID Resolution Use Graph `paper/batch` when BibTeX already contains stable identifiers such as arXiv IDs. ```bash python3 scripts/semantic_scholar_cli.py graph-batch \ --ids ARXIV:2602.08234,ARXIV:2602.12670 ``` Prefer this over search-page scraping when possible. ## Operating Rules - Prefer direct HTTP after cookies exist. - Do not use Playwright for login. If the Cookie Store is missing, ask the user to copy an authenticated browser request as curl and import it. - Use Playwright only when rendered-page behavior or network inspection is needed to discover hidden interfaces. - Treat browser clicking as a reconnaissance step, not the main extraction path. - For feed history, stop on `empty days`, missing `nextWindowUTC`, or repeated windows. - For folder sync, resolve `paperId` first, diff against existing folder entries, then call `folder-add`. - If the task depends on a private page and returns `401`, ask for a fresh browser-copied curl and refresh the Cookie Store before debugging the endpoint. --- Source attribution: zjsxply Original project: https://github.com/zjsxply/skills/blob/83c7ab25959efcf42de99f56160b9f1da3fffbb6/semantic-scholar-library-feed/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 zjsxply Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: zjsxply Original project: https://github.com/zjsxply/skills/blob/83c7ab25959efcf42de99f56160b9f1da3fffbb6/semantic-scholar-library-feed/SKILL.md Attribution basis: Source repository record Fields of work: Data & Analytics, Education & Research Roles: Academic Writer, Data Analyst, Researcher Specialties: API Tools: Semantic Scholar Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 2c89824cda0a3bf07bf9d6e6a8401d0a6244c926e8e7eb6814a170a78775601b