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Academic Research

v1.0.0

Search academic papers and conduct literature reviews using OpenAlex API (free, no key needed). Use when the user needs to find scholarly papers by topic/aut...

⭐ 1· 2.4k·19 current·24 all-time
by@rogersuperbuilderalpha

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for rogersuperbuilderalpha/academic-research.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Academic Research" (rogersuperbuilderalpha/academic-research) from ClawHub.
Skill page: https://clawhub.ai/rogersuperbuilderalpha/academic-research
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Canonical install target

openclaw skills install rogersuperbuilderalpha/academic-research

ClawHub CLI

Package manager switcher

npx clawhub@latest install academic-research
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OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
Name/description match the included Python scripts: both scripts call the OpenAlex API (and Unpaywall for PDFs) to search papers, fetch details, follow citations, and generate reviews. No unrelated credentials, binaries, or services are requested.
ℹ
Instruction Scope
Runtime instructions and examples only run the included Python scripts. The scripts perform network calls to OpenAlex and Unpaywall, reconstruct abstracts from returned JSON, and optionally write an output file. They also cache API responses under /tmp/litreview_cache/ to avoid refetching. They do not read arbitrary user files, environment secrets, or system config.
✓
Install Mechanism
No install spec is provided (instruction-only install). The package includes Python scripts that rely on the 'requests' library; the SKILL.md shows invoking them with python3. No remote downloads or archive extraction occur during install.
✓
Credentials
The skill requests no environment variables, no credentials, and no config paths. The only hard-coded contact string is MAILTO (topanga@ludwitt.com) used as a polite parameter for APIs. No secrets like API keys or tokens are required.
✓
Persistence & Privilege
always:false and no modifications to other skills or system-wide settings. The only persistence is a cache directory under /tmp written by the literature-review script; this is proportional to the stated caching behavior.
Assessment
This skill is coherent with its description: it calls OpenAlex (and optionally Unpaywall) over the network to fetch paper metadata and full-text URLs, and it caches API responses under /tmp/litreview_cache/. Before installing or running, be aware that: (1) the scripts require Python and the 'requests' library (not declared in metadata) — run them in a virtualenv or environment you control; (2) network access is required and responses are written to /tmp (which could persist until system cleanup); (3) no secrets or API keys are requested by the skill. If you need stricter controls, review/modify the scripts (e.g., change cache path or MAILTO) before running.

Like a lobster shell, security has layers — review code before you run it.

latestvk97fzyw6x2qphv91kxy0b53bxd81fsjw
2.4kdownloads
1stars
1versions
Updated 7h ago
v1.0.0
MIT-0
@rogersuperbuilderalpha
latest
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Academic Research

Search 250M+ academic works via OpenAlex. No API key required.

Built by Topanga — AI Research Consultant

Quick Start

Search papers by topic

python3 scripts/scholar-search.py search "transformer architectures" --limit 10

Search by author

python3 scripts/scholar-search.py author "Yann LeCun" --limit 5

Look up by DOI

python3 scripts/scholar-search.py doi "10.1038/s41586-021-03819-2"

Get citation chain (papers that cite a work)

python3 scripts/scholar-search.py citations "10.1038/s41586-021-03819-2" --direction both

Deep read (fetch abstract + full text when available)

python3 scripts/scholar-search.py deep "10.1038/s41586-021-03819-2"

JSON output for programmatic use

python3 scripts/scholar-search.py search "CRISPR" --json

Literature Review Workflow

Automated multi-step literature review:

python3 scripts/literature-review.py "algorithmic literacy in education" --papers 30 --output review.md

This will:

  1. Search for papers across multiple query variations
  2. Deduplicate and rank by relevance + citations
  3. Identify thematic clusters
  4. Generate a structured synthesis in markdown

Options:

  • --papers N — Target number of papers (default: 20)
  • --output FILE — Write review to file (default: stdout)
  • --years 2020-2025 — Restrict publication year range
  • --json — Output structured JSON instead of markdown

Output Format

All search commands return structured data per paper:

  • Title and publication year
  • Authors (up to 5)
  • Abstract (when available)
  • Citation count
  • DOI
  • Open access URL (when available)
  • Source journal/venue

Tips

  • OpenAlex sorts by relevance by default; use --sort citations for most-cited
  • Combine search + deep for quick triage: search first, deep-read promising hits
  • The literature review script caches results in /tmp/litreview_cache/ to avoid re-fetching
  • For full-text PDFs, pipe DOIs to your PDF extraction tool

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