Individual skill
arxiv-database
Not available
skills/arxiv-database/SKILL.md
Source commit 894598cd3a90891a077c254566276bd379038bad
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 5, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
Standard SKILL.md format has not been attested at this commit. No installation command is available; inspect the source.
Repository context
- Repository stars (not skill ratings)
- 251
- Repository last updated
- Oct 30, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
Declared tags are partial or unavailable.
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 1,450 bytes
Read excerpt
# arXiv Database Skill Summary
This CLI skill enables searching and retrieving academic preprints from arXiv.org through its public Atom API. It's maintained by Orchestra Research under an MIT license.
## Key Capabilities
The tool supports multiple search approaches: keyword queries across titles and abstracts, author-specific lookups, arXiv ID retrieval, category browsing, and PDF downloads. Results return as structured JSON containing paper metadata like titles, abstracts, author lists, submission dates, and direct links.
## Primary Use Cases
According to the documentation, deploy this skill when exploring research literature in computer science, machine learning, physics, mathematics, statistics, or related quantitative fields. It's particularly valuable for "building literature review datasets for AI/ML research" and monitoring specific research communities.
## Search Syntax
The API uses field prefixes (`ti:` for titles, `au:` for authors, `cat:` for categories) combined with Boolean operators. Users can construct sophisticated queries like: `"(abs:RLHF OR abs:reinforcement learning from human feedback) AND cat:cs.CL"` to filter results precisely.