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 tdimino/claude-code-minoan --skill academic-researchgit clone --depth 1 https://github.com/tdimino/claude-code-minoanWrote 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/tdimino/claude-code-minoan/academic-research)<a href="https://agentmods.dev/skills/tdimino/claude-code-minoan/academic-research"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/academic-research/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/tdimino/claude-code-minoan/academic-research"><img src="https://agentmods.dev/badge/skills/tdimino/claude-code-minoan/academic-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00069 | $0.02043 |
| Opus 5 | $0.00034 | $0.01022 |
| Sonnet 5 | $0.00014 | $0.00409 |
| Haiku 4.5 | $0.00007 | $0.00204 |
Grade A, and why
academic-research 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 8d 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 — 232 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Research
This skill provides comprehensive guidance for academic paper search, literature reviews, and research synthesis using Exa MCP and arxiv-mcp-server.
When to Use This Skill
- Searching for academic papers on a topic
- Conducting literature reviews
- Finding papers by specific authors
- Discovering recent research in a field
- Downloading and analyzing arXiv papers
- Synthesizing findings across multiple papers
- Tracking citation networks and influential papers
- Researching state-of-the-art methods in AI/ML
Available Tools
Exa MCP Server (Web Search with Academic Filtering)
Tools: mcp__exa__web_search_exa, mcp__exa__get_code_context_exa, mcp__exa__deep_search_exa
Key Parameters for Academic Search:
category: "research_paper"- Filter results to academic papersincludeDomains: ["arxiv.org"]- Restrict to arXivstartPublishedDate/endPublishedDate- Filter by publication date
ArXiv MCP Server (Paper Search, Download, Analysis)
Tools: search_papers, download_paper, list_papers, read_paper
Capabilities:
- Search arXiv by keyword, author, or category
- Download papers locally (~/.arxiv-papers)
- Read paper content directly
- Deep paper analysis with built-in prompts
Core Workflows
Workflow 1: Quick Paper Discovery
Use case: Find papers on a specific topic quickly
Step 1: Use Exa with research_paper category
mcp__exa__web_search_exa({
query: "transformer attention mechanisms survey",
category: "research_paper",
numResults: 10
})
Step 2: Review titles and abstracts
Step 3: Note arXiv IDs for deeper analysis
Workflow 2: ArXiv-Focused Search
Use case: Search specifically within arXiv
Step 1: Use arxiv MCP search_papers
search_papers({
query: "large language models reasoning",
max_results: 20,
sort_by: "relevance"
})
Step 2: Download papers
download_paper({ arxiv_id: "2301.00234" })
Step 3: Read and analyze
read_paper({ arxiv_id: "2301.00234" })
What ships with it
5 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.
- 8d ago First seen · 232 lines · 69 tokens per session scan A ceb2acb01205
academic-research is a skill published in the GitHub repository tdimino/claude-code-minoan (41 stars, last pushed yesterday), licensed MIT. It adds 69 tokens to every session and 2,043 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
preregister
Draft a structured preregistration document (OSF, AsPredicted, or AEA RCT Registry style) from a research spec or free-form study description. Output is a Markdown file with hypotheses, design, sampling plan, analysis plan, exclusions, and inference criteria — annotated with MUST / SHOULD / MAY clarity flags. Use when…
data-management-plan
Draft a funder-compliant Data Management Plan (NSF DMP, NIH DMS Policy 2023, ERC, Horizon Europe) by composing the confidential-data and environment-capture primitives. Sections cover data description, formats/metadata, storage/backup, access/sharing, preservation/archiving, and roles. Use when user says "data…
simulation-study
Scaffold and run a reproducible Monte Carlo simulation study in R — a declared assumption regime, a parameterized DGP, an estimator grid, a seeded replication loop, and a summary of bias, RMSE, empirical SE, coverage, size/power with Monte Carlo standard errors. Use when the user says "run a Monte Carlo simulation"…
stata-replication
End-to-end Stata replication pipeline — scaffolds numbered .do files in scripts/stata/, executes them via the stata-mcp MCP server, captures logs and outputs to scripts/stata/outputs/, and produces publication-ready tables (esttab) and figures (graph export). Mirrors /data-analysis for R-first projects. Use when user…
validate-bib
Validate bibliography entries against citations in all lecture files. Structural checks (missing/unused entries, malformed fields) by default; --semantic adds citation-drift detection, DOI verification, and style-consistency checks.
extract-tikz
Extract TikZ diagrams from Beamer .tex source, compile each to a standalone PDF, and convert to SVG with 0-based indexing. Use when user says "extract the tikz", "regenerate the diagrams", "rebuild the SVGs", "sync tikz to quarto", or after editing TikZ blocks in a Beamer deck that also has a Quarto mirror.