bulk-image-generation-workflow

bulk-image-generation-workflow is a skill for Claude Code, Codex from devkindhq/ideogram-ai-toolkit. It costs 160 tokens per session (1,756 once invoked), scanned A, original, Apache-2.0.

A workflow for generating a batch of image variations from one structured caption. It submits the prompts together, tracks the background job, and reviews the results to create a shortlist.

In plain words
What is it for?
Use it when you need multiple versions of an image or prompt. It supports batches of 1 to 500 prompts and helps track, review, and narrow the generated results.
Why use it?
It organizes large variation requests and keeps shared image settings consistent across the batch. Differences between results must come from the prompt wording.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when you need multiple versions of an image or prompt. It supports batches of 1 to 500 prompts and helps track, review, and narrow the generated results.

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Install with agentmods
npx agentmods add skills/devkindhq/ideogram-ai-toolkit/bulk-image-generation-workflow
Install

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.

Any agent
npx skills add devkindhq/ideogram-ai-toolkit --skill bulk-image-generation-workflow
Clone the repo
git clone --depth 1 https://github.com/devkindhq/ideogram-ai-toolkit

Made for: Claude Code, Codex.

Wrote 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.

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README.md
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Your own site
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agentmods 80×15 button for bulk-image-generation-workflow

Your own site · 80×15
<a href="https://agentmods.dev/skills/devkindhq/ideogram-ai-toolkit/bulk-image-generation-workflow"><img src="https://agentmods.dev/badge/skills/devkindhq/ideogram-ai-toolkit/bulk-image-generation-workflow.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 160 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,756 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00160 $0.01756
Opus 5.5 $0.00064 $0.00702
Sonnet 5.5 $0.00032 $0.00351
Haiku 4.5 $0.00016 $0.00176

Measured 1mo ago against content hash 0c675b9a32a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

bulk-image-generation-workflow 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.

skills/bulk-image-generation-workflow/SKILL.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bulk Image Generation Workflow

This skill orchestrates around one tool: mcp__ideogram__generate_images_bulk(prompts: list[str], ...). It accepts 1–500 prompt strings and submits them as one async background job; results render into a carousel as each image completes rather than blocking on the whole batch.

The constraint the whole skill is built on: every non-prompt parameter (aspect_ratio, resolution, rendering_speed, style_type, negative_prompt, seed, magic_prompt_option, custom_model_uri, collection_id, private) is shared across the entire batch — there is no per-prompt override. On-brief variation at scale has to come from differences in the prompt text itself, not from differences in call parameters. Note the caveat: style_type, negative_prompt, seed, and magic_prompt_option only take effect when custom_model_uri is set (the custom-model v3 path); on the default v4 path they're ignored, so passing them there does nothing.

This skill sits between collections-management's pure-orchestration pattern and the pure prompt-composition skills' pattern: mostly orchestration, with one prompt-composition component — turning one caption into N prompts — covered by references/variation-strategy.md.

Before you start

Read references/variation-strategy.md before drafting the prompt array (steps 2–3 below) and references/review-culling-guide.md before reviewing results (step 6 below). Both apply before you touch the workflow.

Workflow

1. Resolve the base caption

Use an existing locked structured JSON caption if the user or project context already has one. Otherwise build one quickly using skills/ideogram-prompt/references/json-caption-schema.md's schema and ideogram-prompt/SKILL.md's precise-mode guidance, rather than re-deriving the schema here. This caption's style_description object is what stays locked for the whole batch.

2. Choose the variation axis

Per references/variation-strategy.md, decide what changes per prompt — pose, prop, angle, framing, a swapped compositional_deconstruction element — while style_description stays byte-for-byte identical across every prompt in the batch. If the axis isn't obvious from the user's request, confirm it with them before drafting.

Read the full file on GitHub · 131 lines

Changes

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.

  1. 1mo ago First seen · 131 lines · 160 tokens per session scan A 0c675b9a32a3

Subscribe to this mod's changes

bulk-image-generation-workflow is a skill published in the GitHub repository devkindhq/ideogram-ai-toolkit (2 stars, last pushed 6d ago), licensed Apache-2.0. It adds 160 tokens to every session and 1,756 once invoked, about $0.0006 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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