Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ImYourBoyRoy/Portable_Web_toolkitnpx agentmods add skills/imyourboyroy/portable_web_toolkit/vectorize-pipelineWrote 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/imyourboyroy/portable_web_toolkit/vectorize-pipeline)<a href="https://agentmods.dev/skills/imyourboyroy/portable_web_toolkit/vectorize-pipeline"><img src="https://agentmods.dev/badge/skills/imyourboyroy/portable_web_toolkit/vectorize-pipeline/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/imyourboyroy/portable_web_toolkit/vectorize-pipeline"><img src="https://agentmods.dev/badge/skills/imyourboyroy/portable_web_toolkit/vectorize-pipeline.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 | $0.00070 | $0.00594 |
| Opus 5.5 | $0.00028 | $0.00238 |
| Sonnet 5.5 | $0.00014 | $0.00119 |
| Haiku 4.5 | $0.00007 | $0.00059 |
Grade A, and why
vectorize-pipeline 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vectorize Pipeline
Preflight
Read the client repository's applicable instructions and Brand Guide, preserve unrelated work, and confirm the input and output paths are inside the intended project. Establish ownership, licensing, modification rights, and the status of any approved vector master before processing.
Prefer from-font for type
If a logo PNG looks stair-stepped at 200% zoom, do not auto-trace it — rebuild from fonts:
node ./Web_Toolkit/vectorize_pipeline/bin/vectorize-pipeline.mjs from-font \
--title "Example Studio" \
--subtitle WORKS \
--serif ./brand/fonts/ExampleSerif.ttf \
--sans ./brand/fonts/ExampleSans.ttf \
--fill '#f4fffe' \
--output ./public/brand/example-wordmark.svg \
--apply
First time: cd Web_Toolkit/vectorize_pipeline && npm install
Inspect package scripts before installing. Use the repository-approved environment and do not install VTracer, Python packages, or fonts globally without authorization.
Raster path (vectorize)
node ./Web_Toolkit/vectorize_pipeline/bin/vectorize-pipeline.mjs vectorize \
--input ./logo.png --preset logo_smooth --fill '#f4fffe' --apply
| Preset | Use |
|---|---|
logo |
Clean high-contrast masters |
logo_smooth |
Low-res/aliased — upscale+blur then VTracer |
logo_polygon |
Smaller / sharper corners |
Flags
| Flag | Effect |
|---|---|
--apply |
Write output |
--fill '#hex' |
For <img src> SVGs |
--current-color |
Inline SVG only |
--scale / --blur |
Prep overrides (vectorize) |
Never
- Expect auto-trace to beat a hand SVG or font outlines on a soft/aliased master
- Use
--current-colorwith<img src="*.svg"> - Trace artwork without confirming ownership, licensing, and allowed modification
- Discard the original raster, font, or approved master
Verify
Inspect the SVG at multiple scales, validate its XML, compare its silhouette and spacing to the authorized source, and check fill behavior in its real embedding mode. Treat output as a review candidate until brand approval is established.
What ships with it
2 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 · 70 lines · 70 tokens per session scan A fc85261d2f74
vectorize-pipeline is a skill published in the GitHub repository ImYourBoyRoy/Portable_Web_toolkit (2 stars, last pushed 2mo ago), licensed MIT. It adds 70 tokens to every session and 594 once invoked, about $0.0003 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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