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Science Search

ASecurity

Search ~200 million scientific papers (OpenAlex titles and abstracts) by meaning or by exact words, look papers up by DOI / OpenAlex id / PMCID, find similar papers and walk citations, through the free ScienceMadeReadable search API (no key). Use when a task needs scientific literature - finding studies or evidence on a question, checking what research says about a claim, a literature review, citing papers, resolving a DOI to its title, authors and abstract, building a reading list, or writin...

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  • Added November 7, 2026
ai-agentsshellapi

Works with

  • claude code
  • api
  • mcp

Security analysis

A100/100

Scanned November 7, 2026

npx -y skills add MaximeRivest/sciencemadereadable --skill science-search --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: science-search
description: Search ~200 million scientific papers (OpenAlex titles and abstracts) by meaning or by exact words, look papers up by DOI / OpenAlex id / PMCID, find similar papers and walk citations, through the free ScienceMadeReadable search API (no key). Use when a task needs scientific literature - finding studies or evidence on a question, checking what research says about a claim, a literature review, citing papers, resolving a DOI to its title, authors and abstract, building a reading list, or writing code that calls this API.
---

# Science search (ScienceMadeReadable)

Read-only JSON over HTTPS, free, no key. Base: `https://api.sciencemadereadable.com/api/data`

Full guide, with today's coverage, every parameter, field meanings and limits: `GET <base>/llms.txt`.
Read it before the first search in a conversation. Interactive reference: `<base>/docs`; spec: `<base>/openapi.json`.

## The main calls

```sh
B=https://api.sciencemadereadable.com/api/data
curl -sG "$B/search" --data-urlencode "q=effect of intermittent fasting on weight loss in adults" -d k=20 -d abstracts=false
curl -sG "$B/search" --data-urlencode 'q="gut microbiome" AND (autism OR ASD) NOT mice' -d k=20 -d abstracts=false
curl -s  "$B/works/10.1126/science.aan8048"           # DOI, W123..., PMC123..., or a doi.org / openalex.org URL
curl -s  "$B/similar/W2782456798?k=10&abstracts=false"
curl -s  "$B/walk?id=10.1126/science.aan8048"          # 'answers' = what similar papers cite and this one doesn't
```

No shell or HTTP library, only a "fetch this web address" tool? `https://ask.sciencemadereadable.com/<question>`
(%20 for spaces) answers as plain text (Markdown), e.g. `https://ask.sciencemadereadable.com/why%20do%20cats%20purr?k=20`;
it takes the same options as /search. (`$B/search/<question>` is the same thing.)

Results: `id` (OpenAlex W-number), `doi`, `title`, `year`, `type`, `authors` (first 12, " | "), `venue`,
`citations`, `abstract`, `score`, `junk` (0-1, likelihood of spam or not scholarship), `openalex`, `pmcid`.
Filters: `year_from`, `year_to`, `type=review|article|preprint|...`, `open_access=true`, `license=cc-by`.

## As MCP tools instead

Apps that speak MCP can add `https://api.sciencemadereadable.com/mcp` (no key) and get the same search as tools:
`search_papers`, `get_papers`, `find_similar_papers`, `citation_walk`. Claude Code:
`claude mcp add --transport http --scope user science https://api.sciencemadereadable.com/mcp`. If those tools are
already connected, use them rather than curl: same data, answers ready to cite.

## Doing it well

- Questions and descriptions: search by meaning (the default). Exact names, genes, drugs, phrases, "everything
  mentioning X": quotes / AND / OR / NOT (switches to exact words by itself). For a review, run both and merge by `id`.
- Rewrite casual questions into research language first ("how to lose weight" -> "effectiveness of dietary and
  exercise interventions for weight loss in adults"). It is the biggest quality gain.
- Screen with `abstracts=false`, then fetch `/works/{id}` only for the papers you keep. Snowball with `/similar`
  and `/walk`.
- English titles and abstracts only, no full texts. Search by meaning may not reach every year; `/llms.txt` says
  how far. Exact words and `/works` cover the whole corpus.
- `topic` / `field` labels are often wrong: judge a paper from its title and abstract. A low `junk` score does
  not mean a paper is right, and citation counts favour older papers.
- Cite the DOI when there is one, else the `openalex` URL. Never invent details a record lacks.

## Limits

- 30 requests a minute per address (reading `/llms.txt` does not count). Spend them well: one search with
  `k=100` instead of several small ones, `/works` only for the papers you keep, never calls in parallel.
- HTTP 429: wait the seconds given in the `Retry-After` header (also `retry_after` in the body), then retry.
- 502/503 for a minute or two: a data update or a restart. Retry later.
- Requests, including search words, are kept in usage statistics without the caller's address
  (https://sciencemadereadable.com/privacy.html).

To point a person to a paper in a readable page: `https://sciencemadereadable.com/?work=<DOI>`.

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