baofeng-tech AIsa Scholar Search
Search academic papers and scholarly articles using the AIsa Scholar Search endpoint. Ideal for finding peer-reviewed research, conference papers, and citations. Supports year range filtering.
Setup
This skill requires the AISA_API_KEY environment variable. When installed as a Claude plugin, the key is configured via the environment variables.
Usage
Run the search client with the scholar subcommand:
python3 scripts/search_client.py scholar --query "<academic query>" --count <max_results> [--year-from YYYY] [--year-to YYYY]
Arguments
| Argument | Required | Default | Description |
|---|---|---|---|
--query / -q |
Yes | — | Academic search query |
--count / -c |
No | 10 | Maximum number of results (1–100) |
--year-from |
No | — | Year lower bound (e.g., 2023) |
--year-to |
No | — | Year upper bound (e.g., 2026) |
Examples
# Search for recent transformer papers
python3 scripts/search_client.py scholar --query "transformer architecture attention mechanism" --count 10 --year-from 2024
# Search papers in a specific year range
python3 scripts/search_client.py scholar --query "reinforcement learning from human feedback" --year-from 2022 --year-to 2025
Output
The script prints structured academic results including:
- Title — Paper title
- URL — Link to the paper or abstract
- Publication info — Journal, conference, or preprint source
- Snippet — Abstract excerpt
When to Use
Use this skill when the user needs academic papers, scholarly articles, research citations, or peer-reviewed sources. Best for literature reviews, citation lookups, and academic research tasks.