skills/43-wentorai-research-plugins/skills/domains/physics/nasa-ads-api/SKILL.md
Search astrophysics and physics literature via NASA ADS bibliographic database
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research nasa-ads-apiInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
The NASA Astrophysics Data System (ADS) is a digital library operated by the Smithsonian Astrophysical Observatory under a NASA grant. It is the primary bibliographic database for astronomy and astrophysics, also covering significant portions of physics, geophysics, and related disciplines. ADS indexes over 16 million records and provides access to full-text articles, citations, and usage metrics.
ADS is indispensable for astronomers and physicists. Nearly every paper in astrophysics is indexed in ADS, and the system provides powerful search capabilities including full-text search, citation and reference tracking, author disambiguation, and object-level queries (search by astronomical object name). The database integrates with SIMBAD, NED, and other astronomical databases to link publications to the celestial objects they study.
The ADS API requires a free API token and supports 3,000 requests per day. It returns JSON and supports a rich query language with field-specific searches, boolean operators, and positional queries.
Authentication is required via a free API token. Register at https://ui.adsabs.harvard.edu/user/settings/token to generate your token. Include it in every request as a header:
Authorization: Bearer YOUR_ADS_API_TOKEN
Tokens do not expire but can be regenerated from the settings page. Each token is associated with a user account and is subject to per-account rate limits.
GET https://api.adsabs.harvard.edu/v1/search/querycurl -H "Authorization: Bearer YOUR_TOKEN" \
"https://api.adsabs.harvard.edu/v1/search/query?q=gravitational+waves&fl=title,author,year,bibcode,citation_count,doi&rows=10&sort=citation_count+desc"
response.numFound (total hits) and response.docs array. Each doc contains the requested fields. The bibcode is the unique ADS identifier (19-character string encoding journal, year, volume, and page).GET https://api.adsabs.harvard.edu/v1/search/querycurl -H "Authorization: Bearer YOUR_TOKEN" \
"https://api.adsabs.harvard.edu/v1/search/query?q=author:%22Hawking,+S%22&fl=title,year,bibcode,citation_count&rows=20&sort=citation_count+desc"
GET https://api.adsabs.harvard.edu/v1/search/querycurl -H "Authorization: Bearer YOUR_TOKEN" \
"https://api.adsabs.harvard.edu/v1/search/query?q=object:%22Sgr+A*%22&fl=title,author,year,bibcode,citation_count&rows=10&sort=date+desc"
POST https://api.adsabs.harvard.edu/v1/metricscurl -X POST -H "Authorization: Bearer YOUR_TOKEN" \
-H "Content-Type: application/json" \
"https://api.adsabs.harvard.edu/v1/metrics" \
-d '{"bibcodes": ["2016PhRvL.116f1102A"], "types": ["basic", "citations", "indicators"]}'
The API allows 3,000 requests per day (resets at midnight UTC) and 15 requests per second burst limit. If limits are exceeded, the API returns HTTP 429 with X-RateLimit-Reset header. For large bibliometric analyses, use the ADS bulk export or the myADS notification system. Monitor usage via X-RateLimit-Remaining response headers.
Search for recent highly-cited papers on a topic:
curl -H "Authorization: Bearer YOUR_TOKEN" \
"https://api.adsabs.harvard.edu/v1/search/query?q=dark+energy+AND+year:2023-2026&fl=title,author,year,bibcode,citation_count,doi,abstract&rows=20&sort=citation_count+desc"
Retrieve complete publication list with metrics:
# Get publications
curl -H "Authorization: Bearer YOUR_TOKEN" \
"https://api.adsabs.harvard.edu/v1/search/query?q=author:%22Perlmutter,+S%22&fl=title,year,bibcode,citation_count&rows=200&sort=date+desc"
# Get aggregate metrics
curl -X POST -H "Authorization: Bearer YOUR_TOKEN" \
-H "Content-Type: application/json" \
"https://api.adsabs.harvard.edu/v1/metrics" \
-d '{"bibcodes": ["1999ApJ...517..565P", "2012ApJ...746...85S"], "types": ["basic", "indicators"]}'
Find papers about a specific object and link to SIMBAD/NED:
curl -H "Authorization: Bearer YOUR_TOKEN" \
"https://api.adsabs.harvard.edu/v1/search/query?q=object:%22Crab+Nebula%22+AND+year:2024-2026&fl=title,author,year,bibcode,doi&rows=10&sort=date+desc"
tools
Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening, citation-checking, and paper writing. Use when the user asks "what tool should I use to..." OR "install/run/use <tool> to ..." for research/lit-review work: automating a survey or related-work section, PDF→Markdown extraction for LLMs (MinerU/marker/docling), PRISMA / systematic review (ASReview), citation-backed Q&A over PDFs (PaperQA2), wiring papers into Claude/Cursor via MCP (arxiv/paper-search/zotero servers), or chatting with a Zotero library. Ships a launcher (scripts/litrun.py) that installs each tool in an isolated venv and runs it. Curated catalog of 70+ vetted projects. 支持中英文(用于「文献综述工具选型」与「一键安装/运行」)。
development
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
documentation
Use when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power calculation, and register with the AEA RCT Registry. Apply after the design is chosen in aer-identification and before any outcome data are seen.
tools
Guide economists to authoritative data sources with explicit, confirmed data specifications before retrieval; interfaces with Playwright MCP to navigate portals and extract real data, not articles about data.