Obsidian Mind is an Obsidian vault that stores notes, links, indexes, and other accumulated context so AI coding agents can retain memory across sessions. It is designed for Claude Code and also supports Codex CLI and Gemini CLI through shared hooks, commands, and vault data. Its catalogue add-ons package the vault’s commands, agents, skills, hooks, instructions, settings, plugin, and MCP integration.
Borrowing it
Nothing to install: this file belongs to breferrari/obsidian-mind. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/breferrari/obsidian-mind/main/.claude/skills/mermaid-visualizer/SKILL.mdgit clone --depth 1 https://github.com/breferrari/obsidian-mindWrote 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/breferrari/obsidian-mind/mermaid-visualizer)<a href="https://agentmods.dev/skills/breferrari/obsidian-mind/mermaid-visualizer"><img src="https://agentmods.dev/badge/skills/breferrari/obsidian-mind/mermaid-visualizer/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/breferrari/obsidian-mind/mermaid-visualizer"><img src="https://agentmods.dev/badge/skills/breferrari/obsidian-mind/mermaid-visualizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to high
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 →
- high YARA Match · line 31 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
- high Memory Poisoning · line 92 Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
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 | $0.00057 | $0.02126 |
| Opus 5.5 | $0.00023 | $0.00850 |
| Sonnet 5.5 | $0.00011 | $0.00425 |
| Haiku 4.5 | $0.00006 | $0.00213 |
Grade A, and why
mermaid-visualizer 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 1mo 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
5 near-identical copies found in the catalogue:
- mermaid-visualizer — 100% identical, 4 lines differ
- mermaid-visualizer — 100% identical, 4 lines differ
- mermaid-visualizer — 97% identical, 5 lines differ
- mermaid-visualizer — 97% identical, 7 lines differ
- mermaid-visualizer — 97% identical, 5 lines differ
How it starts
The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mermaid Visualizer
Overview
Convert text content into clean, professional Mermaid diagrams optimized for presentations and documentation. Automatically handles common syntax pitfalls (list syntax conflicts, subgraph naming, spacing issues) to ensure diagrams render correctly in Obsidian, GitHub, and other Mermaid-compatible platforms.
Quick Start
When creating a Mermaid diagram:
- Analyze the content - Identify key concepts, relationships, and flow
- Choose diagram type - Select the most appropriate visualization (see Diagram Types below)
- Select configuration - Determine layout, detail level, and styling
- Generate diagram - Create syntactically correct Mermaid code
- Output in markdown - Wrap in proper code fence with optional explanation
Default assumptions:
- Vertical layout (TB) unless horizontal requested
- Medium detail level (balanced between simplicity and information)
- Professional color scheme with semantic colors
- Obsidian/GitHub compatible syntax
Diagram Types
1. Process Flow (graph TB/LR)
Best for: Workflows, decision trees, sequential processes, AI agent architectures
Use when: Content describes steps, stages, or a sequence of actions
Key features:
- Swimlanes via subgraph for grouping related steps
- Arrow labels for transitions
- Feedback loops and branches
- Color-coded stages
Configuration options:
layout: "vertical" (TB), "horizontal" (LR)detail: "simple" (core steps only), "standard" (with descriptions), "detailed" (with annotations)style: "minimal", "professional", "colorful"
2. Circular Flow (graph TD with circular layout)
Best for: Cyclic processes, continuous improvement loops, agent feedback systems
Use when: Content emphasizes iteration, feedback, or circular relationships
Key features:
- Central hub with radiating elements
- Curved feedback arrows
- Clear cycle indicators
3. Comparison Diagram (graph TB with parallel paths)
Best for: Before/after comparisons, A vs B analysis, traditional vs modern systems
What ships with it
1 file 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.
- 1mo ago First seen · 277 lines · 57 tokens per session scan A 131decc93edb
mermaid-visualizer is a skill published in the GitHub repository breferrari/obsidian-mind (5,434 stars, last pushed 9d ago), licensed MIT. It adds 57 tokens to every session and 2,126 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 2026-08-30.
Other skills, from other repositories
reconcile
Cross-reference a paper against the collection. Finds which cited papers are already collected, which are new leads, which collection papers cite this one, and reconciles all cross-references bidirectionally. Run on a single paper directory or use --all for the entire collection.
adjudicate
Systematically adjudicate disagreements across a paper collection. Produces ruthless verdicts on who was wrong, what supersedes what, and what the best current understanding is. Organized by topic clusters with actionable replacement values for implementation.
extract-claims
Extract propositional claims from a paper directory into the propstore source branch using pks source propose-claim.
paper-retriever
Retrieve a scientific paper PDF given an arxiv URL, DOI, or paper title. Downloads to papers/ directory. Handles open-access retrieval (arxiv direct, Chrome print-to-pdf for publisher-direct HTML, Unpaywall, title-based open-repository search); for paywalled papers it hands off to whichever paper-retriever- access…
process-leads
Extract all "New Leads" from the paper collection and process them via paper-process. Retrieves and reads papers that other papers in your collection cite but you don't have yet. Use --all to process everything, or pass a number to limit (e.g., "10" for first 10). Add --parallel N to process N leads concurrently via…
register-concepts
Register concepts from a paper into its propstore source branch using pks source propose-concept.