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 svgnew/mcp --skill batchgit clone --depth 1 https://github.com/svgnew/mcpWrote 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/svgnew/mcp/batch)<a href="https://agentmods.dev/skills/svgnew/mcp/batch"><img src="https://agentmods.dev/badge/skills/svgnew/mcp/batch/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/svgnew/mcp/batch"><img src="https://agentmods.dev/badge/skills/svgnew/mcp/batch.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 | $0.00034 | $0.00391 |
| Opus 5.5 | $0.00014 | $0.00156 |
| Sonnet 5.5 | $0.00007 | $0.00078 |
| Haiku 4.5 | $0.00003 | $0.00039 |
Grade A, and why
batch scanned grade A with 1 finding 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 yesterday.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
4. For each completed item, download its SVG from the link `get_batch_status` lists (valid for one hour) with `curl -sL -o <name>.svg "<link>"`, next to the original image. What it actually says
Batch Vectorize Images
Vectorize several images in one batch job.
Before you start
Use the svg.new MCP tools from this plugin (named mcp__plugin_svg-vectorizer_svg-new__*, or mcp__svgnew__* if the user connected the server directly). They sign in with the user's svg.new account, so no API key is involved. If the tools are missing or say sign-in is needed, ask the user to run /mcp, pick the svg.new server and choose Authenticate.
Don't fall back to a local tracer (vtracer, potrace) unless the user asks for one.
Steps
- Find the images. Glob for files if the user names a folder or pattern. A batch holds up to 10 images; split larger sets into several batches.
- Call
batch_vectorizewith the images asimage_urls(public links),images(base64 data URLs, for small files) orupload_ids(files uploaded withcreate_upload, up to 20 MB each). These can be mixed. - Note the batch ID it returns, then call
get_batch_statusevery few seconds until the status iscompletedorfailed. - For each completed item, download its SVG from the link
get_batch_statuslists (valid for one hour) withcurl -sL -o <name>.svg "<link>", next to the original image. - Report how many succeeded and failed. Items can fail on their own without failing the batch.
Notes
- Each image costs 1 credit. If the account runs short, the batch is refused before it starts.
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.
- yesterday Changed · +16 lines · +22 tokens per session 5739fd87fc0b
- 1mo ago First seen · 11 lines · 12 tokens per session scan A be956ced9f6c
batch is a skill published in the GitHub repository svgnew/mcp (1 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 391 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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