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 wecode-ai/Wegent --skill mermaid-diagramgit clone --depth 1 https://github.com/wecode-ai/WegentWrote 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/wecode-ai/wegent/mermaid-diagram)<a href="https://agentmods.dev/skills/wecode-ai/wegent/mermaid-diagram"><img src="https://agentmods.dev/badge/skills/wecode-ai/wegent/mermaid-diagram/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/wecode-ai/wegent/mermaid-diagram"><img src="https://agentmods.dev/badge/skills/wecode-ai/wegent/mermaid-diagram.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 135 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.
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 | $0.00102 | $0.02099 |
| Opus 5 | $0.00051 | $0.01050 |
| Sonnet 5 | $0.00020 | $0.00420 |
| Haiku 4.5 | $0.00010 | $0.00210 |
Grade A, and why
mermaid-diagram 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Diagram Visualization with Mermaid
When you need to visualize concepts, workflows, architectures, or relationships, use Mermaid diagram syntax.
IMPORTANT: Two-Step Workflow
To create mermaid diagrams, follow this two-step workflow:
- Step 1: Validate with
render_mermaidtool - Use the tool to validate your mermaid syntax - Step 2: Output mermaid code block - After successful validation, output the mermaid code block in your response
This ensures:
- Syntax is validated before displaying to the user
- The diagram is automatically saved in the conversation history
- The diagram can be referenced later in the conversation
Step 1: Use render_mermaid Tool
Call the render_mermaid tool with the following parameters:
| Parameter | Type | Required | Description |
|---|---|---|---|
code |
string | Yes | The mermaid diagram code (without the ```mermaid wrapper) |
diagram_type |
string | No | Diagram type hint (flowchart, sequence, etc.) |
title |
string | No | Optional title for the diagram |
Example Tool Call
{
"name": "render_mermaid",
"arguments": {
"code": "flowchart TD\n A[Start] --> B{Decision}\n B -->|Yes| C[Action 1]\n B -->|No| D[Action 2]\n C --> E[End]\n D --> E",
"title": "Decision Flow"
}
}
Step 2: Output Mermaid Code Block
When the render_mermaid tool returns success, it will include the mermaid code that you should output. Simply include the mermaid code block in your response:
flowchart TD
A[Start] --> B{Decision}
B -->|Yes| C[Action 1]
B -->|No| D[Action 2]
C --> E[End]
D --> E
This mermaid code block will be:
- Rendered as a diagram for the user to see
- Saved in the conversation history
- Available for future reference
Error Handling and Retry
What ships with it
3 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.
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.
- 12d ago First seen · 245 lines · 102 tokens per session scan A 8c35acb9943d
mermaid-diagram is a skill published in the GitHub repository wecode-ai/Wegent (820 stars, last pushed today), licensed Apache-2.0. It adds 102 tokens to every session and 2,099 once invoked, about $0.0005 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 2026-08-30.
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