markdown-mermaid-writing

markdown-mermaid-writing is a skill for Claude Code from K-Dense-AI/scientific-agent-skills. It costs 62 tokens per session (3,806 once invoked), scanned A, original, MIT.

A writing guide for Markdown documents and Mermaid diagrams. Mermaid is a text format for drawing diagrams that can be rendered in many Markdown tools.

In plain words
What is it for?
Creating reports, analyses, documentation, and visual diagrams such as flows, timelines, and relationships.
Why use it?
It gives technical and scientific documents a consistent structure while keeping diagrams easy to edit and review as text.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Creating reports, analyses, documentation, and visual diagrams such as flows, timelines, and relationships.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/k-dense-ai/scientific-agent-skills/markdown-mermaid-writing
About the project

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.

K-Dense-AI/scientific-agent-skills · 54,953 stars · on GitHub · arxiv.org

Install

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.

Any agent
npx skills add K-Dense-AI/scientific-agent-skills --skill markdown-mermaid-writing
Clone the repo
git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills

Made for: Claude Code.

Wrote 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.

agentmods badge for markdown-mermaid-writing

README.md
[![agentmods](https://agentmods.dev/badge/skills/k-dense-ai/scientific-agent-skills/markdown-mermaid-writing/github.svg)](https://agentmods.dev/skills/k-dense-ai/scientific-agent-skills/markdown-mermaid-writing)
Your own site
<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.

agentmods 80×15 button for markdown-mermaid-writing

Your own site · 80×15
<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>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,806 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 1 Oct 2026
  • Snyk pass 1 Oct 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00062 $0.03806
Opus 5.5 $0.00025 $0.01522
Sonnet 5.5 $0.00012 $0.00761
Haiku 4.5 $0.00006 $0.00381

Measured 26d ago against content hash c28a9d602fc5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 26d 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.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

skills/markdown-mermaid-writing/SKILL.md · 344 lines

How it starts

The opening of the file, as written. The whole thing — 344 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Markdown and Mermaid Writing

Overview

This skill provides an optional house style for Markdown documentation with Mermaid structural diagrams. Follow the requested output format, existing repository conventions, and journal requirements first. This skill does not replace scientific analysis or plotting.

A relationship expressed as Mermaid inside a .md file is editable text that diffs cleanly in git. A compatible host renders it without a separate user build step. It renders where the host has Mermaid support; plain Markdown viewers may show only code, and platforms/extensions ship different Mermaid versions. It uses a compact source representation, though token use depends on the diagram. Exporting SVG/PNG requires a renderer; retain the diagram source alongside exported figures.

"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:

  • Writing a requested Markdown report, README, methods overview, or research note
  • Diagramming a workflow, data pipeline, schema, state machine, or conceptual relationship
  • Maintaining editable Mermaid sources and their rendered SVG/PNG exports

Use scientific plotting tools directly for measured data, uncertainty, statistical graphics, exact geometry, or publication figures that Mermaid cannot faithfully represent. Mermaid is not a required precursor to a quantitative chart or an existing SVG/code-native asset.

🎨 The Source Format Philosophy

Why text-based diagrams win

What matters Mermaid in Markdown Python / AI Image
Git diff readable ✅ text source Plotting code/SVG can also be text
Editable source ✅ Plotting scripts and vector sources are editable
Compact relationship notation Often Depends on representation
Native preview Host/version dependent Viewer/format dependent
Parseable by AI without vision ✅ ❌
Works in destination Check Mermaid support and version Check image format support
Accessible (screen readers) Check SVG metadata and text alternative Provide alt text/data table
Convertible to image later ✅ anytime — already image

Read the full file on GitHub · 344 lines

Files

What ships with it

37 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.

Changes

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.

  1. 26d ago Changed · +13 lines · +2 tokens per session c28a9d602fc5
  2. 27d ago Changed · +8 lines f550a816184b
  3. 1mo ago First seen · 323 lines · 60 tokens per session scan A 801fabc81393

Subscribe to this mod's changes

markdown-mermaid-writing is a skill published in the GitHub repository K-Dense-AI/scientific-agent-skills (54,953 stars, last pushed yesterday), licensed MIT. It adds 62 tokens to every session and 3,806 once invoked, about $0.0002 per session on Opus 5.5. 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.

Related

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…

dekan-aleksandr/biodiscovery-skills · 122 tokens

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…

dekan-aleksandr/biodiscovery-skills · 114 tokens

bio-interdomain-hgt

Detect and polarize interdomain horizontal gene transfer with reciprocal hits, genomic context, and gene trees. Use for virus-host gene exchange, endogenous viral elements, or donor direction.

fmschulz/omics-skills · 41 tokens

scholion

Second-opinion support for individuals and clinicians, one person's data at a time — genome, laboratory history, prescriptions, wearables. It reads them locally and states what the data cannot support. No data is baked into the skill: everyone supplies their own. Use it when you need to check a physician's…

CrossRead/scholion · 209 tokens

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.

fmschulz/omics-skills · 38 tokens

notebooks

Author, run and convert marimo or Jupyter notebooks. Use when delivering an analysis notebook executed end to end with figures embedded.

fmschulz/omics-skills · 29 tokens