Scientific Agent Skills is a collection of reusable procedures that give AI agents capabilities for scientific research across areas such as biology, chemistry, medicine, and drug discovery. It is used by researchers and by people building AI scientist workflows with compatible coding agents. The catalogue contains many of the project's skills and supporting instructions.
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 K-Dense-AI/scientific-agent-skills --skill scientific-slidesgit clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-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/k-dense-ai/scientific-agent-skills/scientific-slides)<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/scientific-slides"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/scientific-slides/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/k-dense-ai/scientific-agent-skills/scientific-slides"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/scientific-slides.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Agent Snooping · line 203 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 361 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00065 | $0.04738 |
| Opus 5 | $0.00032 | $0.02369 |
| Sonnet 5 | $0.00013 | $0.00948 |
| Haiku 4.5 | $0.00006 | $0.00474 |
Grade A, and why
scientific-slides 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 today.
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
3 near-identical copies found in the catalogue:
- scientific-slides — 92% identical, 19 lines differ
- scientific-slides — 92% identical, 19 lines differ
- scientific-slides — 92% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 397 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Scientific Slides
Overview
Scientific presentations are a critical medium for communicating research, sharing findings, and engaging with academic and professional audiences. This skill provides comprehensive guidance for creating effective scientific presentations, from structure and content development to visual design and delivery preparation.
Key Focus: Oral presentations for conferences, seminars, defenses, and professional talks.
CRITICAL DESIGN PHILOSOPHY: Scientific presentations should be VISUALLY ENGAGING and RESEARCH-BACKED. Avoid dry, text-heavy slides at all costs. Great scientific presentations combine:
- Compelling visuals: High-quality figures, images, diagrams (not just bullet points)
- Research context: Proper citations from research-lookup establishing credibility
- Minimal text: Bullet points as prompts, YOU provide the explanation verbally
- Professional design: Modern color schemes, strong visual hierarchy, generous white space
- Story-driven: Clear narrative arc, not just data dumps
Remember: Boring presentations = forgotten science. Make your slides visually memorable while maintaining scientific rigor through proper citations.
When to Use This Skill
This skill should be used when:
- Preparing conference presentations (5-20 minutes)
- Developing academic seminars (45-60 minutes)
- Creating thesis or dissertation defense presentations
- Designing grant pitch presentations
- Preparing journal club presentations
- Giving research talks at institutions or companies
- Teaching or tutorial presentations on scientific topics
Slide Generation with Nano Banana Pro
This skill uses Nano Banana Pro AI to generate stunning presentation slides automatically.
There are two workflows depending on output format:
Default Workflow: PDF Slides (Recommended)
Generate each slide as a complete image using Nano Banana Pro, then combine into a PDF. This produces the most visually stunning results.
How it works:
- Plan the deck: Create a detailed plan for each slide (title, key points, visual elements)
- Generate slides: Call Nano Banana Pro for each slide to create complete slide images
- Combine to PDF: Assemble slide images into a single PDF presentation
What ships with it
23 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.
- assets/beamer_template_conference.tex 9.7 KB
- assets/beamer_template_defense.tex 26 KB
- assets/beamer_template_seminar.tex 23 KB
- assets/powerpoint_design_guide.md 19 KB
- assets/timing_guidelines.md 14 KB
- references/beamer_guide.md 19 KB
- references/common_pitfalls.md 3.3 KB
- references/data_visualization_slides.md 17 KB
- references/presentation_structure.md 22 KB
- references/presentation_workflow.md 7.0 KB
- references/prompt_writing.md 1.9 KB
- references/script_reference.md 4.3 KB
- references/slide_capabilities.md 12 KB
- references/slide_design_principles.md 23 KB
- references/talk_types_guide.md 20 KB
- references/visual_review_workflow.md 20 KB
- scripts/generate_schematic_ai.py 38 KB runs code
- scripts/generate_schematic.py 7.4 KB runs code
- scripts/generate_slide_image_ai.py 34 KB runs code
- scripts/generate_slide_image.py 7.6 KB runs code
- scripts/pdf_to_images.py 6.5 KB runs code
- scripts/slides_to_pdf.py 7.3 KB runs code
- scripts/validate_presentation.py 13 KB runs code
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.
- today Changed 9c5c4f7e9911
- 8d ago First seen · 397 lines · 65 tokens per session scan A 26bccde020c8
scientific-slides is a skill published in the GitHub repository K-Dense-AI/scientific-agent-skills (44,469 stars, last pushed today), licensed MIT. It adds 65 tokens to every session and 4,738 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
discovery-toolbox
A routed repertoire of 90 scientific thinking operators for biological research agents - visual reasoning, detectability and information budgets, search reframing, causal identification, competing explanations, observation and selection processes, pipeline artifact diagnosis, effort allocation, and confirmation…
discovery-director
Operate as a research director making original discoveries from a given biological question and dataset. Use when the task is open-ended scientific research, exploring omics or experimental data for findings, hypothesis generation and testing, screening a large candidate space of genes, variants, features or…
polars-dovmed
Search PMC Open Access and bioRxiv corpora with polars-dovmed. Use when structured, reproducible literature queries should run through the hosted API or local parquet indexes.
bio-interdomain-hgt
Detect and polarize interdomain horizontal gene transfer with homology, context, and phylogenetic checks. Use when studying lateral gene transfer, virus-host gene exchange, endogenous viral elements, or donor direction.
csag-extraction
Extract a Conditional Scientific Argumentation Graph and grounded Q&A from a manuscript. Use when representing assertions, contexts, evidence links, and inference steps in machine-readable form.
exploratory-data-analysis
Inspect scientific data and generate a Markdown structure-and-quality report. Use when triaging tabular, array, sequence, HDF5, JSON, or raster files before downstream analysis.