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 marsmike/feinschmiede --skill excalidrawgit clone --depth 1 https://github.com/marsmike/feinschmiedeWrote 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/marsmike/feinschmiede/excalidraw)<a href="https://agentmods.dev/skills/marsmike/feinschmiede/excalidraw"><img src="https://agentmods.dev/badge/skills/marsmike/feinschmiede/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/marsmike/feinschmiede/excalidraw"><img src="https://agentmods.dev/badge/skills/marsmike/feinschmiede/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 | $0.00029 | $0.00578 |
| Opus 5.5 | $0.00012 | $0.00231 |
| Sonnet 5.5 | $0.00006 | $0.00116 |
| Haiku 4.5 | $0.00003 | $0.00058 |
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.
How it starts
The opening of the file, as written. The whole thing — 46 lines — stays where its author put it; the contents beside it link to each section on GitHub.
feinbild — Excalidraw diagrams
Quick Start
/excalidraw flow.exc.dsl
feinbild is a command on your PATH. Expand a .exc.dsl to .excalidraw
(brand colors resolved), then render to PNG.
feinbild excalidraw expand flow.exc.dsl --brand feinschliff # -> flow.excalidraw
feinbild excalidraw render flow.excalidraw # -> flow.png
feinbild verify flow.excalidraw # lint: overflow, overlap, label collision
Primitives: box ellipse diamond dot line zone lane text and
arrow <from> -> <to> [label:"…"]. Set theme dark in the DSL for a dark
canvas. --brand selects the brand; render is brand-agnostic.
Default to clean
- ≤3 arrows per flow. More than that means the layout is wrong — re-chunk or pick another visualization.
- No text over shapes. Labels live inside boxes or adjacent via a connector — never on a border.
- Aspect-aware. Default 16:9 (1920×1080). If the brief specifies a target slot match it; otherwise embeds get squished.
- Metaphor, not clutter. Briefs saying "messy" / "tangled" / "stitched" describe a CONCEPT — convey via composition (overlap, dim color, tight grouping), not by drawing actual chaos.
References
- Methodology — argue-not-display patterns, depth assessment, hierarchy & arrow-routing rules
- DSL syntax — full grammar: primitives, zone/lane, arrow flags, ports, colors, text levels
- Design system — audience-calibrated complexity, visual vocabulary, 10 arrow-discipline principles
- Examples — fan-out / pipeline-with-decision / multi-zoom blueprints
- Deep examples — large layered architectures (MCU/Linux stacks, OTA flows, audience-contrast pairs); source DSL in
examples/ - Eval fixtures live in
evals/evals.json; reusable DSL fixtures inexamples/*.exc.dsl
Brand override
Override: inline @brand <name>, then --brand, then FEINSCHLIFF_BRAND. expand resolves brand colors; render is brand-agnostic.
What ships with it
12 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.
- evals/evals.json 1.7 KB
- examples/embedded-linux-runtime-stack.exc.dsl 6.2 KB
- examples/embedded-mcu-firmware-stack.exc.dsl 6.4 KB
- examples/linux-mcu-heterogeneous-device.exc.dsl 6.3 KB
- examples/ota-update-medium-executive.exc.dsl 2.0 KB
- examples/ota-update-simple-pupil.exc.dsl 645 B
- examples/secure-boot-ota-ab-flow.exc.dsl 6.5 KB
- references/design-system.md 6.0 KB
- references/dsl-syntax.md 7.3 KB
- references/examples-deep.md 4.6 KB
- references/examples.md 4.6 KB
- references/methodology.md 10 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.
- 1mo ago First seen · 46 lines · 29 tokens per session scan A 7f59aad694a1
excalidraw is a skill published in the GitHub repository marsmike/feinschmiede (3 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 578 once invoked, about $0.0001 per session on Opus 5.5. 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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