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 shaharsha/claude-skills --skill excalidraw-diagramsgit clone --depth 1 https://github.com/shaharsha/claude-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/shaharsha/claude-skills/excalidraw-diagrams)<a href="https://agentmods.dev/skills/shaharsha/claude-skills/excalidraw-diagrams"><img src="https://agentmods.dev/badge/skills/shaharsha/claude-skills/excalidraw-diagrams/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/shaharsha/claude-skills/excalidraw-diagrams"><img src="https://agentmods.dev/badge/skills/shaharsha/claude-skills/excalidraw-diagrams.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 | $0.00156 | $0.01849 |
| Opus 5 | $0.00078 | $0.00924 |
| Sonnet 5 | $0.00031 | $0.00370 |
| Haiku 4.5 | $0.00016 | $0.00185 |
Grade A, and why
excalidraw-diagrams 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Excalidraw diagrams (via the Excalidraw+ MCP)
Build scenes that read as a deliberate visual argument, not "boxes with text,"
and get them right the first time by knowing the MCP's non-obvious behaviours up
front. The element JSON here is standard Excalidraw, so it also applies if you ever
generate .excalidraw files directly — but this skill targets the hosted
Excalidraw+ MCP (shareable scenes, collections), which is the usual case.
The workflow
- Plan the structure first (see
reference/layout.md). Pick the family (workflow / architecture / timeline / hierarchy / comparison / cycle / slides), the reading direction, and the regions — before placing anything. The test: if you deleted every label, would the layout alone still convey the idea? - Call
read_excalidraw_formatonce before your first write this session. It's the MCP's own normative element guide (occasionally updated) and the server expects it.reference/elements.mdis your fast working subset. - Create or target a scene. New:
create_scene(needs acollectionId— get it fromlist_collections). Existing: find it vialist_scenes/get_workspace; to edit an earlier one, get real element IDs withsearch_scene_content. The shareable link ishttps://app.excalidraw.com/s/<workspace_id>/<scene_id>— both IDs come back in thecreate_scenemetadata (workspaceandid); give this link to the user. - Add content with
edit_scene_content— one coherent diagram per call. Build in placement order: regions/frames → containers → primary nodes → secondary nodes → labels → arrows (bound, once nodes are stable) → accents. - Add icons where they help (
reference/library-icons.md+ the bundled script) — real Postgres/React/Docker/AWS icons, inserted via the MCP. - Verify — this is mandatory, not optional (see "Verifying" below). Screenshot
for layout,
search_scene_contentfor text/geometry, fix, repeat.
Non-negotiables (each one silently ruins a diagram)
What ships with it
6 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 · 120 lines · 156 tokens per session scan A 9b5f70f0ede0
excalidraw-diagrams is a skill published in the GitHub repository shaharsha/claude-skills (5 stars, last pushed 14d ago), licensed MIT. It adds 156 tokens to every session and 1,849 once invoked, about $0.0008 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 2026-08-31.
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