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 drawiogit 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/drawio)<a href="https://agentmods.dev/skills/jonathan-vella/apex-accelerator/drawio"><img src="https://agentmods.dev/badge/skills/jonathan-vella/apex-accelerator/drawio.svg" alt="Measured on agentmods" 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 | $0.00099 | $0.03006 |
| Opus 5 | $0.00049 | $0.01503 |
| Sonnet 5 | $0.00020 | $0.00601 |
| Haiku 4.5 | $0.00010 | $0.00301 |
Grade A, and why
drawio 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 8d 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Draw.io Architecture Diagrams
Generate Azure architecture diagrams in .drawio format using the
simonkurtz-MSFT Draw.io MCP server. The server ships the full Azure icon set
(see assets/azure-public-service-icons/),
fuzzy shape search, batch operations, group/layer/page management, and
transactional mode for efficient multi-step workflows.
The MCP server's own src/instructions.md is the authoritative tool reference;
it is auto-sent to the client at startup. This skill captures project-specific
conventions that complement (not duplicate) it.
Naming note: "drawio" can refer to (a) this skill, (b) the MCP server slug
simonkurtz-MSFT/drawio-mcp-server, or (c) themcp_drawio_*tool family. In agent-facing references, disambiguate explicitly — say "thedrawioskill" or "the drawio MCP server", not baredrawio.
Prerequisites
- MCP server:
simonkurtz-MSFT/drawio-mcp-server(Deno, stdio) configured in.vscode/mcp.json - Deno runtime: installed via devcontainer feature
- VS Code extension (optional):
hediet.vscode-drawiofor in-editor preview
MCP Workflow Summary
The MCP server's startup src/instructions.md is the authoritative tool reference. The
table below lists the most-used tools and the repo-specific batch sequence. Reusable call
patterns: references/azure-patterns.md.
| Tool | Purpose |
|---|---|
search-shapes |
Fuzzy-search the Azure icon library; resolves names to shapes |
create-groups |
Create container cells (VNets, subnets, resource groups, envs) |
add-cells |
Add vertices + edges in a single batch (use shape_name, temp_id) |
add-cells-to-group |
Assign children to group containers |
edit-cells / edit-edges |
Update cell or edge properties post-creation |
validate-group-containment |
Detect children that exceed group bounds |
finish-diagram |
Resolve transactional placeholders + emit final compressed XML |
export-diagram |
Non-transactional export with compress: true |
What ships with it
20 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.
- examples/azure-aks-microservices.drawio 82 KB
- examples/azure-dns-private-resolver.drawio 63 KB
- examples/azure-foundry-landing-zone.drawio 92 KB
- examples/azure-vm-baseline-architecture.drawio 57 KB
- examples/azure-vm-baseline-architecture.svg 264 KB
- README.md 612 B
- references/abstraction-rules.md 6.8 KB
- references/azure-patterns.md 4.1 KB
- references/creation-workflows.md 2.0 KB
- references/diagram-types.md 8.9 KB
- references/iac-to-diagram.md 14 KB
- references/icon-variants.md 11 KB
- references/large-architecture-decomposition.md 7.7 KB
- references/legend-template.md 7.8 KB
- references/quality-rubric.md 12 KB
- references/semantic-zones.md 12 KB
- references/style-reference.md 15 KB
- references/validation-checklist.md 8.1 KB
- scripts/cleanup-drawio.py 2.8 KB runs code
- templates/azure-architecture-skeleton.drawio 2.6 KB
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.
- 8d ago First seen · 191 lines · 99 tokens per session scan A 34fceaf22fe7
drawio is a skill published in the GitHub repository jonathan-vella/apex-accelerator (50 stars, last pushed today), licensed MIT. It adds 99 tokens to every session and 3,006 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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