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 graniet/kheish --skill excalidrawgit clone --depth 1 https://github.com/graniet/kheishWrote 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/graniet/kheish/excalidraw)<a href="https://agentmods.dev/skills/graniet/kheish/excalidraw"><img src="https://agentmods.dev/badge/skills/graniet/kheish/excalidraw/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/graniet/kheish/excalidraw"><img src="https://agentmods.dev/badge/skills/graniet/kheish/excalidraw.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 | $0.00053 | $0.02390 |
| Opus 5.5 | $0.00021 | $0.00956 |
| Sonnet 5.5 | $0.00011 | $0.00478 |
| Haiku 4.5 | $0.00005 | $0.00239 |
Grade A, and why
excalidraw 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
91% identical to excalidraw — 44 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kheish Compatibility
This skill is repo-local and stays inactive until explicitly activated.
When the original instructions refer to legacy tool names, use these Kheish mappings:
terminal=>bashweb_extract=>web_fetch, plusweb_searchwhen discovery is neededsearch_files=>grep_searchandglob_searchbrowser_*tools require a browser-capable surfaced tool or MCP; if none is available, use the closest available surface and say so explicitly
When the instructions mention local helper files, resolve them from ${KHEISH_SKILL_DIR}.
Excalidraw Diagram Skill
Create diagrams by writing standard Excalidraw element JSON and saving as .excalidraw files. These files can be drag-and-dropped onto excalidraw.com for viewing and editing. No accounts, no API keys, no rendering libraries -- just JSON.
Workflow
- Load this skill (you already did)
- Write the elements JSON -- an array of Excalidraw element objects
- Save the file using
write_fileto create a.excalidrawfile - Optionally upload for a shareable link using
scripts/upload.pyviaterminal
Saving a Diagram
Wrap your elements array in the standard .excalidraw envelope and save with write_file:
{
"type": "excalidraw",
"version": 2,
"source": "kheish",
"elements": [ ...your elements array here... ],
"appState": {
"viewBackgroundColor": "#ffffff"
}
}
Save to any path, e.g. ~/diagrams/my_diagram.excalidraw.
Uploading for a Shareable Link
Run the upload script (located in this skill's scripts/ directory) via terminal:
python .agents/skills/creative/excalidraw/scripts/upload.py ~/diagrams/my_diagram.excalidraw
This uploads to excalidraw.com (no account needed) and prints a shareable URL. Requires the cryptography pip package (pip install cryptography).
Element Format Reference
Required Fields (all elements)
type, id (unique string), x, y, width, height
What ships with it
4 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.
- 1mo ago First seen · 212 lines · 53 tokens per session scan A f545e4ac05d6
excalidraw is a skill published in the GitHub repository graniet/kheish (217 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 53 tokens to every session and 2,390 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to excalidraw, differing in 44 lines, and is treated as a copy.
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