arxiv-database SKILL.md skillA
arxiv-database from fridrichmethod/awesome-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add fridrichmethod/awesome-skills/arxiv-database@git:20260517.81511a7Pins git:20260517.81511a7 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- fridrichmethod/awesome-skills
- Path
skills/arxiv-database/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260517.81511a7, committed May 17, 2026
- Size
- 9,774 bytes
- Repository stars
- 15
- License
- a license file GitHub does not identify
Search and retrieve preprints from arXiv via the Atom API. Use this skill when searching for papers in physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering, or economics by keywords, authors, arXiv IDs, date ranges, or categories.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# arXiv Database ## Overview This skill provides Python tools for searching and retrieving preprints from arXiv.org via its public Atom API. It supports keyword search, author search, category filtering, arXiv ID lookup, and PDF download. Results are returned as structured JSON with titles, abstracts, authors, categories, and links. ## When to Use This Skill Use this skill when: - Searching for preprints in CS, ML, AI, physics, math, statistics, q-bio, q-fin, or economics - Looking up specific papers by arXiv ID (e.g., `2309.10668`) - Tracking an author's recent preprints - Filtering papers by arXiv category (e.g., `cs.LG`, `cs.CL`, `stat.ML`) - Downloading PDFs for full-text analysis - Building literature review datasets for AI/ML research - Monitoring new submissions in a subfield Consider alternatives when: - Searching for biomedical literature specifically -> Use **pubmed-database** or **biorxiv-database** - You need citation counts or impact metrics -> Use **openalex-database** - You need peer-reviewed journal articles only -> Use **pubmed-database** ## Core Search Capabilities ### 1. Keyword Search Search for papers by keywords in titles, abstracts, or all fields. …
Read the whole file at its exact version.
How to install
mdr add fridrichmethod/awesome-skills/arxiv-database@sha256:6e5efb18241a30d7The line at the top of this page pins the label git:20260517.81511a7, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_hn7nw7x5cjkp2ky4)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on May 17, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (9774 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
fridrichmethod/awesome-skills · 15 stars · license a license file GitHub does not identify · pushed 2026-10-18 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_hn7nw7x5cjkp2ky4 GET https://markdownregistry.com/api/v1/resolve?ref=fridrichmethod/awesome-skills/arxiv-database GET https://markdownregistry.com/api/v1/blob/6e5efb18241a30d7eb73c5f3b57d6586b321b6f3af1d334f859efd567f054252
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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