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/devkindhq/ideogram-ai-toolkit/upscale-image-workflownpx skills add devkindhq/ideogram-ai-toolkit --skill upscale-image-workflowgit clone --depth 1 https://github.com/devkindhq/ideogram-ai-toolkitWrote 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/devkindhq/ideogram-ai-toolkit/upscale-image-workflow)<a href="https://agentmods.dev/skills/devkindhq/ideogram-ai-toolkit/upscale-image-workflow"><img src="https://agentmods.dev/badge/skills/devkindhq/ideogram-ai-toolkit/upscale-image-workflow.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 | $0.00176 | $0.01664 |
| Opus 5 | $0.00088 | $0.00832 |
| Sonnet 5 | $0.00035 | $0.00333 |
| Haiku 4.5 | $0.00018 | $0.00166 |
Grade A, and why
upscale-image-workflow 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
`upload_image`'s own description, run its returned `instructions` curl command in the How it starts
The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Upscale Image Workflow
Ideogram exposes one tool for raising an image's resolution: upscale_image. This skill
orchestrates a single call to that tool — resolve which image, confirm the settings, run
it, save the output's identifiers. It takes exactly one call per invocation: no multi-step
pipeline, no multi-tool surface. It's the thinnest skill in the repo.
This is an orchestration workflow around one MCP call, not a prompt-composition skill —
there's no composition-spec-format.md/panel-anatomy.md-style reference here.
Before you start
Read references/upscale-settings.md before running step 1 or step 2 of the workflow
below. It covers the identifier-resolution rule (upscale_image requires exactly one of
image_response_id or image_upload_id — never both, never neither) and the settings
guide for every optional parameter.
Workflow
1. Resolve the target image
Determine exactly one identifier to pass. Either:
image_response_id— from this session'sgenerate_image/remix_image/edit_image/reframe_image/remove_backgroundcalls'structured_content.response_ids, fromget_recent_generations's per-itemresponse_id, or fromget_images_by_collection_id's per-assetresponse_id/image_id.image_upload_id— fromupload_image, for a local file the user points to that hasn't been uploaded yet. Callupload_imagefirst rather than inventing an ID: perupload_image's own description, run its returnedinstructionscurl command in the sandbox and read the realidback from the curl response.
If more than one candidate image is plausibly "that image" (e.g. several renders made
earlier this session with nothing distinguishing which one the user means), ask which one
— don't guess. Never pass both identifiers or neither. See
references/upscale-settings.md for the full identifier-resolution rule.
2. Confirm settings
State the resolved settings before calling:
upscale_factor— the user's stated value if given (that counts as confirmed, no need to re-ask), or the tool's ownX2default, stated plainly rather than blocked on a confirmation question.upscale_details_weight— only set if the user asked for more/less added detail; otherwise omit for the backend default.prompt— only set if the user wants to steer what detail gets added; otherwise omit — the backend auto-describes the image when none is supplied, per the tool's own description.collection_id— only if the user asked to save directly into an existing collection. If so, followcollections-management's find-or-create pattern fromcollection-patterns.mdto resolve whichcollection_idto pass, rather than inventing one.private— omit unless the user explicitly asks to publish to the public Ideogram feed. Per the tool's own description, paid accounts default to private and free/Basic accounts default to public, and enterprise generations are always private regardless — state that as the only asserted fact about the default, since it's the tool's own documented behavior.
What ships with it
4 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.
- 3d ago First seen · 123 lines · 176 tokens per session scan A 5bce165438d7
upscale-image-workflow is a skill published in the GitHub repository devkindhq/ideogram-ai-toolkit (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 176 tokens to every session and 1,664 once invoked, about $0.0009 per session on Opus 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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