Borrowing it
Nothing to install: this file belongs to MohamedAbdallah-14/prompt-to-asset. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MohamedAbdallah-14/prompt-to-asset/main/.claude/skills/vectorize/SKILL.mdgit clone --depth 1 https://github.com/MohamedAbdallah-14/prompt-to-assetWrote 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/mohamedabdallah-14/prompt-to-asset/vectorize)<a href="https://agentmods.dev/skills/mohamedabdallah-14/prompt-to-asset/vectorize"><img src="https://agentmods.dev/badge/skills/mohamedabdallah-14/prompt-to-asset/vectorize/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/mohamedabdallah-14/prompt-to-asset/vectorize"><img src="https://agentmods.dev/badge/skills/mohamedabdallah-14/prompt-to-asset/vectorize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00047 | $0.00864 |
| Opus 5 | $0.00023 | $0.00432 |
| Sonnet 5 | $0.00009 | $0.00173 |
| Haiku 4.5 | $0.00005 | $0.00086 |
Grade A, and why
vectorize 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 — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vectorize
Three paths
1. Recraft /vectorize (hosted, highest quality)
Input: any raster. Output: clean SVG, typically 20–100 paths for a mark, 200–500 for an illustration. Commercial tier only.
const svg = await recraft.vectorize({ image: pngBuffer });
2. vtracer (local, multi-color polygon)
- Rust binary;
npm install vtracerfor the Node wrapper. - Modes:
polygon(recommended for logos),spline(smoother curves),pixel(blocky). - Color count controlled upstream via K-means quantization before vectorization.
pipeline:
raster 1024²
→ BiRefNet matte (alpha the background)
→ K-means LAB 6-color palette
→ vtracer --mode polygon --filter-speckle 4 --color-precision 6
→ SVGO (conservative preset)
3. potrace (local, 1-bit)
- Classical Stan Ford vectorizer; binary output only (no color).
- Best for: icon packs (single-color), typography work, line art.
- Multi-color workaround: separate each color into its own 1-bit layer, vectorize each, stack SVG
<g>s.
pipeline:
raster 1024²
→ BiRefNet matte
→ per-color mask (binary threshold per palette entry)
→ potrace per mask → <g> wrapper
→ combine into single SVG
→ SVGO
Choosing the path
| Use case | Path |
|---|---|
| Budget available, one-shot quality | Recraft vectorize |
| Multi-color logo, local | vtracer (polygon mode) |
| Single-color icon pack | potrace |
| Photorealistic illustration → vector | don't — keep as PNG/WebP. Vectorization of photoreal is lossy noise. |
Path-count quality signal
After vectorization, count <path> elements:
- ≤40 paths → clean, production-ready mark.
- 40–200 paths → likely acceptable; scan for overlapping slivers.
- >200 paths → probably bad. Either the input has noise (regenerate), too many colors (reduce K-means), or the subject is inappropriate for vectorization (keep as raster).
SVGO configuration
Conservative preset — preserve: viewBox, IDs, classes. Strip: metadata, editor comments, hidden elements.
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 · 102 lines · 47 tokens per session scan A c22a4bf3aec0
vectorize is a skill published in the GitHub repository MohamedAbdallah-14/prompt-to-asset (19 stars, last pushed yesterday), licensed MIT. It adds 47 tokens to every session and 864 once invoked, about $0.0002 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 2026-08-30.
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