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/collections-managementnpx skills add devkindhq/ideogram-ai-toolkit --skill collections-managementgit 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/collections-management)<a href="https://agentmods.dev/skills/devkindhq/ideogram-ai-toolkit/collections-management"><img src="https://agentmods.dev/badge/skills/devkindhq/ideogram-ai-toolkit/collections-management.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 5.1 | $0.00144 | $0.01150 |
| Opus 5 | $0.00072 | $0.00575 |
| Sonnet 5 | $0.00029 | $0.00230 |
| Haiku 4.5 | $0.00014 | $0.00115 |
Grade A, and why
collections-management 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 5d 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Collections Management
Ideogram lets you group images into named collections via create_collection,
list_collections, add_images_to_collection, remove_images_from_collection,
rename_collection, delete_collection, and get_images_by_collection_id. This skill
orchestrates those calls in sequence to keep a project's images organized instead of
scattered across loose generations that have to be re-found later by scrolling
get_recent_generations.
This is an orchestration workflow across sequential MCP calls, not a prompt-composition
skill — there's no composition-spec-format.md/panel-anatomy.md-style reference here.
Flat collections are the only supported structure in v1: create_collection and
list_collections both support nesting via parent_collection_id, but this skill never
sets or reads that field.
Before you start
Read references/collection-patterns.md before creating or deleting anything. It covers
the find-or-create pattern (why you must check list_collections for a name match before
calling create_collection) and the destructive-confirmation rule (when delete=True and
delete_assets=True are safe to pass). Both apply before you touch step 1 or step 5 below.
Workflow
1. Resolve the collection
Call list_collections (root-level only, since v1 is flat) and check for a name match
before creating anything new. Exactly one match → use that collection. Multiple ambiguous
matches (same name or close variants) → ask the user which one they mean, don't guess.
No match → call create_collection(name). See references/collection-patterns.md for why
this check has to happen before create — create_collection doesn't enforce unique names,
so skipping this step produces duplicate collections across sessions.
2. Add images
Call add_images_to_collection(collection_id, image_response_ids=[...]) for images
generated earlier this session (from generate_image's structured_content.response_ids),
or image_upload_ids=[...] for previously uploaded images. Batch every image from the
current task into one call — don't loop one call per image. Read the response's
added_count, failed_count, and any per-asset failure reasons, and report real failures
instead of claiming the add fully succeeded.
What ships with it
8 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.
- evals/evals.json 2.8 KB
- examples/anchorpoint-logo-collection/anchorpoint-logo-1.png 352 KB
- examples/anchorpoint-logo-collection/anchorpoint-logo-2.png 352 KB
- examples/anchorpoint-logo-collection/anchorpoint-logo-3.png 352 KB
- examples/anchorpoint-logo-collection/anchorpoint-logo-4.png 352 KB
- examples/anchorpoint-logo-collection/anchorpoint-logo-5.png 352 KB
- examples/anchorpoint-logo-collection/RESULT.md 3.6 KB
- references/collection-patterns.md 6.6 KB
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.
- 5d ago First seen · 94 lines · 144 tokens per session scan A 5dbf57b4c3e2
collections-management is a skill published in the GitHub repository devkindhq/ideogram-ai-toolkit (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 144 tokens to every session and 1,150 once invoked, about $0.0007 per session on Opus 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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