OpenClaw Master Skills is a curated, regularly updated collection of skills that extends an AI personal assistant platform with capabilities such as research, browser automation, presentation creation, and prompt work. It is intended for people using OpenClaw or MyClaw.ai to give their agents additional tasks and workflows. The catalogue contains many skills and agents from this collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add LeoYeAI/openclaw-master-skills --skill academic-research-hubgit clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/leoyeai/openclaw-master-skills/academic-research-hub)<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/academic-research-hub"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/academic-research-hub/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/leoyeai/openclaw-master-skills/academic-research-hub"><img src="https://agentmods.dev/badge/skills/leoyeai/openclaw-master-skills/academic-research-hub.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 746 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00100 | $0.04920 |
| Opus 5 | $0.00050 | $0.02460 |
| Sonnet 5 | $0.00020 | $0.00984 |
| Haiku 4.5 | $0.00010 | $0.00492 |
Grade A, and why
academic-research-hub scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- academic-paper-search-hub — 98% identical, 10 lines differ
How it starts
The opening of the file, as written. The whole thing — 746 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Research Hub
Search and retrieve academic papers from multiple sources including arXiv, PubMed, Semantic Scholar, and more. Download PDFs, extract citations, generate bibliographies, and build literature reviews.
⚠️ Prerequisite: Install OpenClawCLI (Windows, MacOS)
Installation Best Practices:
# Standard installation
pip install arxiv scholarly pubmed-parser semanticscholar requests
# If you encounter permission errors, use a virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install arxiv scholarly pubmed-parser semanticscholar requests
Never use --break-system-packages as it can damage your system's Python installation.
Quick Reference
| Task | Command |
|---|---|
| Search arXiv | python scripts/research.py arxiv "quantum computing" |
| Search PubMed | python scripts/research.py pubmed "covid vaccine" |
| Search Semantic Scholar | python scripts/research.py semantic "machine learning" |
| Download papers | python scripts/research.py arxiv "topic" --download |
| Get citations | python scripts/research.py arxiv "topic" --citations |
| Generate bibliography | python scripts/research.py arxiv "topic" --format bibtex |
| Save results | python scripts/research.py arxiv "topic" --output results.json |
Core Features
1. Multi-Source Search
Search across multiple academic databases from a single interface.
Supported Sources:
- arXiv - Physics, mathematics, computer science, quantitative biology, quantitative finance, statistics
- PubMed - Biomedical and life sciences literature
- Semantic Scholar - Computer science and interdisciplinary research
- Google Scholar - Broad academic search (limited, no API)
2. Paper Download
Download full-text PDFs when available.
python scripts/research.py arxiv "deep learning" --download --output-dir papers/
3. Citation Extraction
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 746 lines · 100 tokens per session scan A 10213493b3d3
academic-research-hub is a skill published in the GitHub repository LeoYeAI/openclaw-master-skills (2,141 stars, last pushed 1mo ago), licensed MIT. It adds 100 tokens to every session and 4,920 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
gsmm-builder
Build or load a genome-scale metabolic model (GSMM) using COBRApy. Covers loading from BIGG, constructing minimal models from scratch, setting medium constraints, and exporting validated .json model files.
mixed-precision
Use FP16/BF16 mixed precision to accelerate training and reduce memory. Use when optimizing GPU performance.
comfyui-skill-openclaw
Run registered ComfyUI workflows through the fast comfyui-skill CLI, and use the official local Comfy MCP for live template, node, model, validation, and orchestration capabilities. Use this Skill when: (1) The user requests to "generate an image", "draw a picture", or "execute a ComfyUI workflow". (2) The user has…
hypothesis-testing
Applies the scientific method to debugging by helping users form specific, testable hypotheses, design targeted experiments, and systematically confirm or reject theories to find root causes. Use when a user says their code isn't working, they're getting an error, something broke, they want to troubleshoot a bug, or…
research-writing
A collection of 30 prompt templates for writing and reviewing scientific papers. It covers tasks such as translating, editing, summarizing research, writing sections, creating figure captions, and preparing reviewer replies.
statistical-analysis
Perform rigorous statistical analysis on SWARM experiment data with multiple-comparison corrections.