Denario

What it does

When your agent uses it

• Tasks that involve Literature review
• Tasks that involve Hypothesis generation
• Tasks that involve LaTeX

Example prompts

• “/denario”

Requirements

• Python 3
• Docker

Workflow steps

5 steps, taken from the step headings in SKILL.md.

1. 1Data Description
2. 2Idea Generation
3. 3Methodology Development
4. 4Results Generation
5. 5Paper Generation

What it can do on your machine

Read from SKILL.md and the folder at commit c0ca7da. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • uv

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Denario loads about 1.5k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 111 tokens; SKILL.md has 453 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~111

When it runs · the whole SKILL.md, loaded when a task matches

~1.5k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~10k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NoteMentions a .env fileSKILL.md:46

  securely using environment variables or `.env` files. For detailed configuration instructions including Vertex AI setup,

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from davila7/claude-code-templates at commit c0ca7da, republished under its MIT licence (© davila7). 453 words, ~1,484 tokens.

name

denario

description

Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.

uv init
uv add "denario[app]"

uv pip install "denario[app]"

from denario import Denario

den = Denario(project_dir="./my_research")
den.set_data_description("""
Available datasets: time-series data on X and Y
Tools: pandas, sklearn, matplotlib
Research domain: [specify domain]
""")

den.get_idea()

den.set_idea("Custom research hypothesis")

den.get_method()

den.set_method("path/to/methodology.md")

den.get_results()

den.set_results("path/to/results.md")

from denario import Journal

den.get_paper(journal=Journal.APS)

denario run

from denario import Denario, Journal

# Initialize project
den = Denario(project_dir="./research_project")

# Define research context
den.set_data_description("""
Dataset: Time-series measurements of [phenomenon]
Available tools: pandas, sklearn, scipy
Research goal: Investigate [research question]
""")

# Generate research idea
den.get_idea()

# Develop methodology
den.get_method()

# Execute analysis
den.get_results()

# Create publication
den.get_paper(journal=Journal.APS)

# Provide custom research idea
den.set_idea("Investigate the correlation between X and Y using time-series analysis")

# Auto-generate methodology
den.get_method()

# Auto-generate results
den.get_results()

# Generate paper
den.get_paper(journal=Journal.APS)

© davila7, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 4 other files (references) in cli-tool/components/skills/scientific/denario of davila7/claude-code-templates.

• SKILL.md
• references/examples.md
• references/installation.md
• references/llm_configuration.md
• references/research_pipeline.md

Open the folder on GitHubat commit c0ca7da

Used in 8 other repositories

We found 20 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 8 other GitHub owners. This page covers the copy in davila7/claude-code-templates, which our catalogue first saw on October 7, 2026.

• jimmc414/Kosmoskosmos-claude-scientific-skills/scientific-skills/denario
• Microck/ordinary-claude-skillsskills_all/denarioskills_categorized/academic/denario+10 more
• aiskillstore/marketplaceskills/davila7/denarioskills/k-dense-ai/denario
• lamm-mit/scienceclawskills/denario
• agent-skills-hub/agent-skills-hubskills/denario
• foryourhealth111-pixel/Vibe-Skillsbundled/skills/denario
• LeonChaoX/qinyan-academic-skillsskills/14-文档处理与数据工具/denario
• infometa/workbuddyskillsplugins/codebuddy-plugins-official/external_plugins/scientific-skills/denario