Borrowing it
Nothing to install: this file belongs to Alberto-Codes/docvet. 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/Alberto-Codes/docvet/main/.github/instructions/mermaid.instructions.mdgit clone --depth 1 https://github.com/Alberto-Codes/docvetWrote 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/instructions/alberto-codes/docvet/mermaid)<a href="https://agentmods.dev/instructions/alberto-codes/docvet/mermaid"><img src="https://agentmods.dev/badge/instructions/alberto-codes/docvet/mermaid/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/instructions/alberto-codes/docvet/mermaid"><img src="https://agentmods.dev/badge/instructions/alberto-codes/docvet/mermaid.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00357 | $0.00357 |
| Opus 5.5 | $0.00143 | $0.00143 |
| Sonnet 5.5 | $0.00071 | $0.00071 |
| Haiku 4.5 | $0.00036 | $0.00036 |
Grade A, and why
docvet mermaid.instructions.md 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.
What it actually says
Mermaid Diagram Guidelines
Use Mermaid diagrams to make documentation clearer and easier to understand.
When to Use Diagrams
Use Mermaid diagrams when:
- Visual representation makes concepts clearer than prose alone
- Showing relationships, flows, or structures
- Documenting processes, architectures, or interactions
Avoid diagrams when:
- Simple text or a list is equally clear
- The diagram would be overly complex (>20 nodes)
Diagram Types
Flowcharts
For processes, algorithms, decision logic:
flowchart TD
A[Start] --> B{Decision?}
B -->|Yes| C[Action 1]
B -->|No| D[Action 2]
Sequence Diagrams
For interactions between components over time:
sequenceDiagram
participant CLI
participant Discovery
participant Check
CLI->>Discovery: find files
Discovery-->>CLI: file list
CLI->>Check: run check
Check-->>CLI: findings
Class Diagrams
For code architecture and data models.
State Diagrams
For state machines and transitions.
Best Practices
- Clarity over completeness: Show what matters, hide details
- Consistent naming: Use project terminology
- Keep it simple: If >20 nodes, consider breaking it up
- Update diagrams when code changes
In Markdown Files
Use code blocks with mermaid language:
```mermaid
flowchart LR
A --> B
```
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 · 68 lines · 357 tokens per session scan A 33e9423ab7a3
docvet mermaid.instructions.md is an instructions file published in the GitHub repository Alberto-Codes/docvet (9 stars, last pushed 8d ago), licensed MIT. It adds 357 tokens to every session, about $0.0014 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.
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next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.