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 HyunjunJeon/Deepagent-research-context-engineering --skill academic-searchgit clone --depth 1 https://github.com/HyunjunJeon/Deepagent-research-context-engineeringWrote 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/hyunjunjeon/deepagent-research-context-engineering/academic-search)<a href="https://agentmods.dev/skills/hyunjunjeon/deepagent-research-context-engineering/academic-search"><img src="https://agentmods.dev/badge/skills/hyunjunjeon/deepagent-research-context-engineering/academic-search/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/hyunjunjeon/deepagent-research-context-engineering/academic-search"><img src="https://agentmods.dev/badge/skills/hyunjunjeon/deepagent-research-context-engineering/academic-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00036 | $0.01958 |
| Opus 5 | $0.00018 | $0.00979 |
| Sonnet 5 | $0.00007 | $0.00392 |
| Haiku 4.5 | $0.00004 | $0.00196 |
Grade A, and why
academic-search 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Search Skill
This skill provides access to academic paper repositories, primarily arXiv, for searching scholarly articles. arXiv is a free distribution service and open-access archive for preprints in physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering, systems science, and economics.
When to Use This Skill
Use this skill when you need to:
- Find cutting-edge research: Access preprints and recent papers before formal journal publication
- Search AI/ML papers: Find machine learning, deep learning, and artificial intelligence research
- Explore computational methods: Search for algorithms, theoretical frameworks, and mathematical foundations
- Research interdisciplinary topics: Find papers spanning computer science, biology, physics, and mathematics
- Gather literature reviews: Collect relevant papers for comprehensive topic overviews
- Track state-of-the-art: Find the latest advances in rapidly evolving fields
Ideal Use Cases
| Scenario | Example Query |
|---|---|
| Understanding new architectures | "transformer attention mechanism" |
| Exploring applications | "large language models code generation" |
| Finding benchmarks | "image classification benchmark ImageNet" |
| Surveying methods | "reinforcement learning robotics" |
| Technical deep-dives | "backpropagation neural networks" |
How to Use
The skill provides a Python script that searches arXiv and returns formatted results with titles and abstracts.
Basic Usage
Note: Always use the absolute path from your skills directory.
If running from a virtual environment:
.venv/bin/python [YOUR_SKILLS_DIR]/academic-search/arxiv_search.py "your search query"
Or for system Python:
python3 [YOUR_SKILLS_DIR]/academic-search/arxiv_search.py "your search query"
Replace [YOUR_SKILLS_DIR] with the absolute skills directory path from your system prompt.
What ships with it
1 file 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.
- 10d ago First seen · 262 lines · 36 tokens per session scan A 20b00af3c6d7
academic-search is a skill published in the GitHub repository HyunjunJeon/Deepagent-research-context-engineering (53 stars, last pushed 7mo ago), licensed MIT. It adds 36 tokens to every session and 1,958 once invoked, about $0.0002 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.
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