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 markdown-mermaid-writinggit 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/markdown-mermaid-writing)<a href="https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/markdown-mermaid-writing"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/markdown-mermaid-writing/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/markdown-mermaid-writing"><img src="https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/markdown-mermaid-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00060 | $0.03575 |
| Opus 5 | $0.00030 | $0.01788 |
| Sonnet 5 | $0.00012 | $0.00715 |
| Haiku 4.5 | $0.00006 | $0.00358 |
Grade A, and why
markdown-mermaid-writing 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 9d 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
8 near-identical copies found in the catalogue:
- markdown-mermaid-writing — 100% identical, 7 lines differ
- markdown-mermaid-writing — 100% identical, 0 lines differ
- markdown-mermaid-writing — 100% identical, 4 lines differ
- markdown-mermaid-writing — 100% identical, 7 lines differ
- markdown-mermaid-writing — 98% identical, 15 lines differ
- markdown-mermaid-writing — 97% identical, 13 lines differ
- markdown-mermaid-writing — 97% identical, 13 lines differ
- markdown-mermaid-writing — 97% identical, 22 lines differ
How it starts
The opening of the file, as written. The whole thing — 323 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Markdown and Mermaid Writing
Overview
This skill teaches you — and enforces a standard for — creating scientific documentation using markdown with embedded Mermaid diagrams as the default and canonical format.
The core bet: a relationship expressed as a Mermaid diagram inside a .md file is more
valuable than any image. It is text, so it diffs cleanly in git. It requires no build step.
It renders natively on GitHub, GitLab, Notion, VS Code, and any markdown viewer. It uses
fewer tokens than a prose description of the same relationship. And it can always be
converted to a polished image later — but the text version remains the source of truth.
"The more you get your reports and files in .md in just regular text, which mermaid is as well as being a simple 'script language'. This just helps with any downstream rendering and especially AI generated images (using mermaid instead of just long form text to describe relationships < tokens). Additionally mermaid can render along with markdown for easy use almost anywhere by humans or AI."
— Clayton Young (@borealBytes), K-Dense Discord, 2026-02-19
When to Use This Skill
Use this skill when:
- Creating any scientific document — reports, analyses, manuscripts, methods sections
- Writing any documentation — READMEs, how-tos, decision records, project docs
- Producing any diagram — workflows, data pipelines, architectures, timelines, relationships
- Generating any output that will be version-controlled — if it's going into git, it should be markdown
- Working with any other skill — this skill defines the documentation layer that wraps every other output
- Someone asks you to "add a diagram" or "visualize the relationship" — Mermaid first, always
Do NOT start with Python matplotlib, seaborn, or AI image generation for structural or relational diagrams. Those are Phase 2 and Phase 3 — only used when Mermaid cannot express what's needed (e.g., scatter plots with real data, photorealistic images).
What ships with it
36 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/examples/example-research-report.md 8.8 KB
- references/diagrams/architecture.md 4.3 KB
- references/diagrams/block.md 4.7 KB
- references/diagrams/c4.md 6.1 KB
- references/diagrams/class.md 8.3 KB
- references/diagrams/complex_examples.md 17 KB
- references/diagrams/er.md 7.4 KB
- references/diagrams/flowchart.md 6.8 KB
- references/diagrams/gantt.md 5.7 KB
- references/diagrams/git_graph.md 2.0 KB
- references/diagrams/kanban.md 3.5 KB
- references/diagrams/mindmap.md 2.2 KB
- references/diagrams/packet.md 1.7 KB
- references/diagrams/pie.md 1.5 KB
- references/diagrams/quadrant.md 2.1 KB
- references/diagrams/radar.md 2.1 KB
- references/diagrams/requirement.md 2.4 KB
- references/diagrams/sankey.md 2.1 KB
- references/diagrams/sequence.md 5.4 KB
- references/diagrams/state.md 5.3 KB
- references/diagrams/timeline.md 4.1 KB
- references/diagrams/treemap.md 2.0 KB
- references/diagrams/user_journey.md 4.9 KB
- references/diagrams/xy_chart.md 1.8 KB
- references/diagrams/zenuml.md 2.2 KB
- references/markdown_style_guide.md 34 KB
- references/mermaid_style_guide.md 26 KB
- templates/decision_record.md 7.0 KB
- templates/how_to_guide.md 6.9 KB
- templates/issue.md 13 KB
- templates/kanban.md 11 KB
- templates/presentation.md 7.9 KB
- templates/project_documentation.md 11 KB
- templates/pull_request.md 13 KB
- templates/research_paper.md 9.9 KB
- templates/status_report.md 7.0 KB
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.
- 9d ago First seen · 323 lines · 60 tokens per session scan A 801fabc81393
markdown-mermaid-writing is a skill published in the GitHub repository K-Dense-AI/scientific-agent-skills (44,469 stars, last pushed today), licensed MIT. It adds 60 tokens to every session and 3,575 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.
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