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 smythmyke/markitup-mcp-server --skill markitup-image-workflowgit clone --depth 1 https://github.com/smythmyke/markitup-mcp-serverWrote 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/smythmyke/markitup-mcp-server/markitup-image-workflow)<a href="https://agentmods.dev/skills/smythmyke/markitup-mcp-server/markitup-image-workflow"><img src="https://agentmods.dev/badge/skills/smythmyke/markitup-mcp-server/markitup-image-workflow/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/smythmyke/markitup-mcp-server/markitup-image-workflow"><img src="https://agentmods.dev/badge/skills/smythmyke/markitup-mcp-server/markitup-image-workflow.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 | $0.00089 | $0.00712 |
| Opus 5 | $0.00044 | $0.00356 |
| Sonnet 5 | $0.00018 | $0.00142 |
| Haiku 4.5 | $0.00009 | $0.00071 |
Grade C, and why
markitup-image-workflow scanned grade C 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 9d 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.
Tells the agent never to refusehighAnti-refusal
Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.
tool with the returned **`upload_id`**. Do not decline or fall back to a How it starts
The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MarkItUp image workflow
MarkItUp edits images on its own servers via the connected MCP tools. This skill helps you pick the right tool and get the image into it correctly.
Getting the image in (do this first)
MarkItUp tools accept an image as a public image_url or an upload_id —
never inline image bytes (they get corrupted in transit).
- The user gave a public image URL → pass it directly as
image_url. - The user has a local / uploaded / pasted image (no URL) → call
markitup_request_upload, give the user the returnedbrowser_urlto drop their file (or PUT the bytes toput_urlif you can run HTTP from a sandbox), pollmarkitup_check_uploaduntil status isuploaded, then call the editing tool with the returnedupload_id. Do not decline or fall back to a non-MarkItUp tool.
Choosing the tool
- Remove a background →
markitup_remove_background(transparent PNG). - Make it bigger / sharper / print-ready →
markitup_upscale(2×/3×/4×). - Point things out on a screenshot (tutorials, bug reports, UX feedback) →
markitup_annotatewith acontextdescribing what to box/arrow/highlight. - Change aspect ratio / extend the canvas (e.g. square → 16:9 banner) →
markitup_extendwith the target aspect ratio + pixel dimensions. - Turn a screenshot into a polished marketing visual →
markitup_generatewith adescriptionand atemplate_id(e.g.bold_marketing,clean_minimal,glassmorphic,dark_professional,documentation). To redo one variation consistently, usemarkitup_regenwith the priortext_analysis.
Presenting results
Each tool returns a hosted full-resolution URL plus a small inline preview. Show the user the result inline as a markdown image and include the download link.
Credits (be transparent)
- Check with
markitup_credit_balance. New accounts get free credits. remove_background,upscale,annotate,regen= 1 credit each (remove_backgroundandupscaleare free for active subscribers).generate= 2 credits at 1K (default), 3 at 2K, 4 at 4K.extend= 1 credit (2 at 2K/4K).request_upload,check_upload,credit_balanceare free. If the user is low on credits, say so before running a paid tool.
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.
- 9d ago First seen · 53 lines · 89 tokens per session scan C f9eaea2e48ac
markitup-image-workflow is a skill published in the GitHub repository smythmyke/markitup-mcp-server (2 stars, last pushed 3mo ago), licensed MIT. It adds 89 tokens to every session and 712 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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