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.
git clone --depth 1 https://github.com/shahzadahmadv1/ExcaliClaudeWrote 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/commands/shahzadahmadv1/excaliclaude/diagram)<a href="https://agentmods.dev/commands/shahzadahmadv1/excaliclaude/diagram"><img src="https://agentmods.dev/badge/commands/shahzadahmadv1/excaliclaude/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/commands/shahzadahmadv1/excaliclaude/diagram"><img src="https://agentmods.dev/badge/commands/shahzadahmadv1/excaliclaude/diagram.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 | $0.00000 | $0.00550 |
| Opus 5 | $0.00000 | $0.00275 |
| Sonnet 5 | $0.00000 | $0.00110 |
| Haiku 4.5 | $0.00000 | $0.00055 |
Grade A, and why
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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/diagram — Generate an Excalidraw diagram
Generate an Excalidraw architecture or flow diagram using the ExcaliClaude skill.
Arguments
$ARGUMENTS
If no arguments are provided, ask the user what they would like to diagram.
Instructions
-
Activate the
excalidraw-diagramskill — follow its full generation process. -
Determine view mode from the request:
- "overview" / "architecture" / "what exists" →
overview - "flow" / "what happens when" / "request path" →
focused-flow - "internals" / "how does X work" →
drill-down - "end to end" / "overview + detail" / "document" →
scenario-pack - When unclear, default to
focused-flowfor flow questions,overviewfor architecture questions.
- "overview" / "architecture" / "what exists" →
-
Set scope controls based on context:
detail_level:minimalfor executives,standardby default,detailedfor deep divesaudience:technicalby default,executiveif the user mentions stakeholders/leadershipmax_nodes: set to 10-12 for focused views, leave unset for overviewsscope_filter: set when the user names specific services or phases
-
Build the shared model first, then define views. Follow the two-phase generation process in SKILL.md.
-
Save artifacts:
- Spec:
docs/diagrams/specs/<date>-<topic>.diagram.json - Diagram:
docs/diagrams/<date>-<topic>.excalidraw - Mermaid (optional):
docs/diagrams/<date>-<topic>.mermaid.md
- Spec:
-
Run the full pipeline:
python <skill-dir>/references/build_excalidraw_diagram.py <spec> --output <diagram> python <skill-dir>/references/validate_excalidraw.py <diagram> python <skill-dir>/references/render_excalidraw.py <diagram> -
Optionally export Mermaid when the user asks for text-friendly output:
python <skill-dir>/references/export_mermaid.py <spec> --output <mermaid-file> -
Report results:
- List all generated artifact paths
- State the view mode used
- Note whether the diagram is codebase-accurate or conceptual
- Summarize evidence sources if discovery was performed
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 · 52 lines · 0 tokens per session scan A 9b033aaf6c3a
diagram is a command published in the GitHub repository shahzadahmadv1/ExcaliClaude (3 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 550 tokens. 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 2026-08-31.
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