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 Bilal140202/the-lord-of-the-skills --skill bv-venky__excalidraw-architect-mcpgit clone --depth 1 https://github.com/Bilal140202/the-lord-of-the-skillsWrote 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/bilal140202/the-lord-of-the-skills/bv-venky__excalidraw-architect-mcp)<a href="https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/bv-venky__excalidraw-architect-mcp"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/bv-venky__excalidraw-architect-mcp/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/bilal140202/the-lord-of-the-skills/bv-venky__excalidraw-architect-mcp"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/bv-venky__excalidraw-architect-mcp.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 | $0.00061 | $0.01672 |
| Opus 5.5 | $0.00024 | $0.00669 |
| Sonnet 5.5 | $0.00012 | $0.00334 |
| Haiku 4.5 | $0.00006 | $0.00167 |
Grade A, and why
excalidraw-diagram-design 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.
This is a copy
100% identical to excalidraw-diagram-design — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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.
Excalidraw Diagram Design Guide
This skill teaches you how to structure the nodes and connections input for the Excalidraw Architect MCP so the auto-layout engine produces clean, readable diagrams - not spaghetti.
Core Principle
The layout engine (Sugiyama algorithm) works best with tree-like, flow-oriented graphs. Your job as the LLM is to model the data flow story, not the import graph.
Graph Topology Rules
1. Keep it tree-like - avoid diamond dependencies
The #1 cause of messy diagrams is multiple nodes connecting to the same shared target.
BAD: 4 arrows all pointing to "models.py"
mermaid → models
state → models
layout → models
builder → models
GOOD: Drop shared infrastructure nodes or show them as a single grouped leaf
layout → builder → output
Rule: If a node has 4+ incoming edges, either remove it or group it with related nodes.
2. Limit edges to primary data flow
Show how data moves through the system, not every import statement.
BAD (16 edges for 12 nodes - dependency graph):
server → mermaid, state, layout, excalidraw
mermaid → models
state → models, excalidraw_file
layout → models, grandalf, components
excalidraw → models, components, themes, excalidraw_file
GOOD (9 edges for 9 nodes - data flow):
ide → server → [mermaid, state, layout]
layout → renderer → [styling, output]
Rule: Aim for roughly N-1 to N+2 edges for N nodes (tree + a few extra).
3. Hub nodes should have 3–5 fan-out, not more
The layout engine auto-stretches "hub" nodes (≥3 connections) into gate-like rectangles. This looks great for API gateways, load balancers, and message brokers. But a node with 6+ fan-out creates too many parallel arrows.
GOOD: API Gateway → [Auth, Users, Orders, Payments] (4 fan-out)
BAD: Server → [A, B, C, D, E, F, G, H] (8 fan-out)
Rule: If a node has 6+ connections, split it into two logical stages or group downstream nodes.
4. Keep layers balanced
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 · 191 lines · 61 tokens per session scan A 0374fa367c33
excalidraw-diagram-design is a skill published in the GitHub repository Bilal140202/the-lord-of-the-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 61 tokens to every session and 1,672 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to excalidraw-diagram-design, differing in 0 lines, and is treated as a copy.
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