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/character-model-sheetnpx skills add devkindhq/ideogram-ai-toolkit --skill character-model-sheetgit 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/character-model-sheet)<a href="https://agentmods.dev/skills/devkindhq/ideogram-ai-toolkit/character-model-sheet"><img src="https://agentmods.dev/badge/skills/devkindhq/ideogram-ai-toolkit/character-model-sheet.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 | $0.00285 | $0.03188 |
| Opus 5 | $0.00143 | $0.01594 |
| Sonnet 5 | $0.00057 | $0.00638 |
| Haiku 4.5 | $0.00028 | $0.00319 |
Grade A, and why
character-model-sheet 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 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.
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 — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Character Model Sheet
A character model sheet is a single generated image that shows a character's complete design at once — not one pose, but a full-body turnaround (front, 3/4, side, back), a head & detail close-up sheet, a color palette, and a short overview block naming the character, its role, and its personality. It's the format riggers, illustrators, and game/animation studios use to lock a character's design before it's animated, modeled, or drawn by a second artist — the point is consistency across angles, not a single nice pose.
This is a sibling to brand-identity-sheet (same two-artifact workflow, same Ideogram
generation pattern) but for characters instead of brand systems, and a sibling to
logo-prompting's "single mark" discipline scaled up to "single character, many views."
The two artifacts this skill produces
- A generation prompt — a tight descriptive paragraph, Ideogram-legible, that produces the sheet in one shot.
- A compositional deconstruction — a structured JSON breakdown of the resulting
image (or of a reference image the user supplies) with a
high_level_descriptionand anelementsarray of{type, bbox, desc}/{type: "text", bbox, text, desc}entries. This is what makes the sheet reusable: another agent (an animator, a modeler, a second illustrator) can read the bbox spec and know exactly which panel is the front view, which is the face close-up, which is the color swatch bar, without re-looking at the image. Seereferences/composition-spec-format.mdfor the full schema — it's the same schemabrand-identity-sheetuses, unmodified, because the annotation problem (precisely locating panels/text in a multi-panel design sheet) is identical regardless of subject.
Always produce both. The paragraph prompt is what you feed the image model; the compositional deconstruction is what you save back to the vault so the sheet's structure survives past the single image (feeding animation, modeling, or a second illustrator's work later).
What ships with it
7 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 · 210 lines · 285 tokens per session scan A 8e5970205918
character-model-sheet is a skill published in the GitHub repository devkindhq/ideogram-ai-toolkit (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 285 tokens to every session and 3,188 once invoked, about $0.0014 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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