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 agentmods add skills/evoelsewhere/evoflux/canvas-designnpx skills add evoelsewhere/evoflux --skill canvas-designgit clone --depth 1 https://github.com/evoelsewhere/evofluxWrote 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/evoelsewhere/evoflux/canvas-design)<a href="https://agentmods.dev/skills/evoelsewhere/evoflux/canvas-design"><img src="https://agentmods.dev/badge/skills/evoelsewhere/evoflux/canvas-design.svg" alt="Measured on agentmods" 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 | $0.00059 | $0.00511 |
| Opus 5 | $0.00030 | $0.00255 |
| Sonnet 5 | $0.00012 | $0.00102 |
| Haiku 4.5 | $0.00006 | $0.00051 |
Grade A, and why
canvas-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 4d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Create static canvas artwork
Deliver the requested visual artifact, not a prose manifesto. Build an original composition from the subject, audience, viewing distance, physical or digital format, and one deliberate visual thesis. Do not load the bundled font library when this skill activates.
State machine
1. FRAME
Confirm canvas size, orientation, output format, required text, brand or legal constraints, and whether the work is primarily expressive or informational. Infer non-blocking choices from the brief. Ask only when missing dimensions, copy, or brand assets would materially change the deliverable.
2. DIRECT
Define a compact visual system before production:
- one compositional idea and focal point;
- palette with functional roles;
- type roles and hierarchy when text is required;
- grid, margins, rhythm, and intended negative space;
- one signature element tied to the subject.
Translate artist references into general visual attributes; do not copy a recognizable work or imitate a living artist. Use text as content, not filler, and never invent event, legal, pricing, or contact details.
3. BUILD
Create only the formats requested. Use vector or code-native geometry where it
improves print quality. Inspect canvas-fonts/ only after choosing required type
roles, then load the minimum matching font files and retain their license files.
Keep all content inside safe margins and make typography readable at the
intended viewing size.
4. VERIFY
Render the final PNG/PDF and inspect the actual image. Check dimensions, resolution, crop/bleed requirements, contrast, text accuracy, font rendering, alignment, clipping, unintended overlap, and export artifacts. Make a second pass that removes or refines weak elements instead of adding decoration.
Stop conditions
Stop when the composition has a clear focal hierarchy, all required copy is accurate, the rendered output is clean at normal and zoomed viewing, and the delivered files match the requested dimensions and formats.
What ships with it
60 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.
- agents/evoflux.yaml 277 B
- canvas-fonts/ArsenalSC-OFL.txt 4.3 KB
- canvas-fonts/ArsenalSC-Regular.ttf 162 KB
- canvas-fonts/BigShoulders-Bold.ttf 92 KB
- canvas-fonts/BigShoulders-OFL.txt 4.3 KB
- canvas-fonts/BigShoulders-Regular.ttf 92 KB
- canvas-fonts/Boldonse-OFL.txt 4.3 KB
- canvas-fonts/Boldonse-Regular.ttf 75 KB
- canvas-fonts/BricolageGrotesque-Bold.ttf 89 KB
- canvas-fonts/BricolageGrotesque-OFL.txt 4.3 KB
- canvas-fonts/BricolageGrotesque-Regular.ttf 89 KB
- canvas-fonts/CrimsonPro-Bold.ttf 105 KB
- canvas-fonts/CrimsonPro-Italic.ttf 106 KB
- canvas-fonts/CrimsonPro-OFL.txt 4.3 KB
- canvas-fonts/CrimsonPro-Regular.ttf 104 KB
- canvas-fonts/DMMono-OFL.txt 4.3 KB
- canvas-fonts/DMMono-Regular.ttf 48 KB
- canvas-fonts/EricaOne-OFL.txt 4.3 KB
- canvas-fonts/EricaOne-Regular.ttf 24 KB
- canvas-fonts/GeistMono-Bold.ttf 76 KB
- canvas-fonts/GeistMono-OFL.txt 4.3 KB
- canvas-fonts/GeistMono-Regular.ttf 76 KB
- canvas-fonts/Gloock-OFL.txt 4.3 KB
- canvas-fonts/Gloock-Regular.ttf 93 KB
- canvas-fonts/IBMPlexMono-Bold.ttf 133 KB
- canvas-fonts/IBMPlexMono-OFL.txt 4.3 KB
- canvas-fonts/IBMPlexMono-Regular.ttf 131 KB
- canvas-fonts/IBMPlexSerif-Bold.ttf 157 KB
- canvas-fonts/IBMPlexSerif-BoldItalic.ttf 166 KB
- canvas-fonts/IBMPlexSerif-Italic.ttf 166 KB
- canvas-fonts/IBMPlexSerif-Regular.ttf 157 KB
- canvas-fonts/InstrumentSans-Bold.ttf 66 KB
- canvas-fonts/InstrumentSans-BoldItalic.ttf 68 KB
- canvas-fonts/InstrumentSans-Italic.ttf 68 KB
- canvas-fonts/InstrumentSans-OFL.txt 4.3 KB
- canvas-fonts/InstrumentSans-Regular.ttf 66 KB
- canvas-fonts/InstrumentSerif-Italic.ttf 69 KB
- canvas-fonts/InstrumentSerif-Regular.ttf 68 KB
- canvas-fonts/Italiana-OFL.txt 4.3 KB
- canvas-fonts/Italiana-Regular.ttf 27 KB
- canvas-fonts/JetBrainsMono-Bold.ttf 112 KB
- canvas-fonts/JetBrainsMono-OFL.txt 4.3 KB
- canvas-fonts/JetBrainsMono-Regular.ttf 112 KB
- canvas-fonts/Jura-Light.ttf 151 KB
- canvas-fonts/Jura-Medium.ttf 151 KB
- canvas-fonts/Jura-OFL.txt 4.3 KB
- canvas-fonts/LibreBaskerville-OFL.txt 4.3 KB
- canvas-fonts/LibreBaskerville-Regular.ttf 144 KB
- canvas-fonts/Lora-Bold.ttf 131 KB
- canvas-fonts/Lora-BoldItalic.ttf 137 KB
- canvas-fonts/Lora-Italic.ttf 136 KB
- canvas-fonts/Lora-OFL.txt 4.3 KB
- canvas-fonts/Lora-Regular.ttf 131 KB
- canvas-fonts/NationalPark-Bold.ttf 77 KB
- canvas-fonts/NationalPark-OFL.txt 4.3 KB
- canvas-fonts/NationalPark-Regular.ttf 75 KB
- canvas-fonts/NothingYouCouldDo-OFL.txt 4.3 KB
- canvas-fonts/NothingYouCouldDo-Regular.ttf 31 KB
- canvas-fonts/Outfit-Bold.ttf 54 KB
- canvas-fonts/Outfit-OFL.txt 4.3 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.
- 4d ago First seen · 62 lines · 59 tokens per session scan A cdf5a68f5f50
canvas-design is a skill published in the GitHub repository evoelsewhere/evoflux (5 stars, last pushed 7d ago), licensed Apache-2.0. It adds 59 tokens to every session and 511 once invoked, about $0.0003 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.
Other skills, from other repositories
pptx
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audio-transcribe
Transcribe speech from audio files (mp3, m4a, wav, ogg, flac, webm) to text using the local whisper CLI — no API key. Use whenever a task hinges on the spoken content of an audio attachment.
ffmpeg
Process audio and video with the ffmpeg / ffprobe CLIs — convert, trim, extract audio, resize, change format, make GIFs, inspect media. Use for any audio/video transformation.
frame-bold-poster
A 1970s European editorial poster in motion — a red rule draws across, a giant tilted figure drops in, a three-line headline rises line-by-line, an italic serif standfirst fades.
frame-light-leak-cinema
Film light leaks, grain, 16:9 letterbox, and large serif type for cinematic openings or chapter cards.
frame-bold-signal
Bold colored card on a dark gradient — big section number, nav breadcrumb, orange card sliding in, title rising.