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 jonathan-vella/apex-accelerator --skill mermaidgit clone --depth 1 https://github.com/jonathan-vella/apex-acceleratorWrote 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/jonathan-vella/apex-accelerator/mermaid)<a href="https://agentmods.dev/skills/jonathan-vella/apex-accelerator/mermaid"><img src="https://agentmods.dev/badge/skills/jonathan-vella/apex-accelerator/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/skills/jonathan-vella/apex-accelerator/mermaid"><img src="https://agentmods.dev/badge/skills/jonathan-vella/apex-accelerator/mermaid.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00078 | $0.00595 |
| Opus 5 | $0.00039 | $0.00298 |
| Sonnet 5 | $0.00016 | $0.00119 |
| Haiku 4.5 | $0.00008 | $0.00060 |
Grade A, and why
mermaid 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 6d 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 — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mermaid Diagrams
Skill for generating Mermaid diagrams embedded in markdown fences. Mermaid is
used for inline documentation — flowcharts, sequences, state machines, ER
diagrams, Gantt charts. For architecture diagrams with Azure service icons,
use the python-diagrams skill instead.
When to Use Mermaid
- Inline diagrams inside markdown (
.md,.mdx) - Flowcharts for operational runbooks and process docs
- Sequence diagrams for auth flows and API interactions
- Gantt charts for project plans and maintenance schedules
- State diagrams for lifecycle documentation
- ER diagrams for data model overviews
- Azure resource relationship diagrams from live queries (via
azure-resourcesMode B)
Rules
DO: fenced code blocks with mermaid language tag · include theme
directives for dark mode · graph TB (vertical) or graph LR (horizontal) ·
subgraphs for grouping · descriptive connection labels · validate syntax
before committing.
DON'T: use Mermaid for WAF/cost charts (use python-diagrams) · use
Mermaid for rendered architecture diagrams (use python-diagrams) ·
omit theme directives · embed Azure service icons.
Steps
- Pick the diagram type — see
references/syntax-cheatsheet.md - Author inside a triple-backtick
mermaidfence in your markdown - Add theming and node styles — see
references/styling.md - Validate — render in VS Code preview or Starlight build
- Commit — the rendered Mermaid stays inline; no separate artifact
Reference Index
| File | When to Load |
|---|---|
references/syntax-cheatsheet.md |
Authoring any diagram type (flowchart, sequence, Gantt, ER, state) |
references/styling.md |
Adding theming, node classDef styling, or Astro/Starlight integration |
What ships with it
2 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.
- 6d ago First seen · 59 lines · 78 tokens per session scan A fd62acab202e
mermaid is a skill published in the GitHub repository jonathan-vella/apex-accelerator (50 stars, last pushed 2d ago), licensed MIT. It adds 78 tokens to every session and 595 once invoked, about $0.0004 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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