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 devkindhq/ideogram-ai-toolkit --skill brand-identity-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/brand-identity-sheet)<a href="https://agentmods.dev/skills/devkindhq/ideogram-ai-toolkit/brand-identity-sheet"><img src="https://agentmods.dev/badge/skills/devkindhq/ideogram-ai-toolkit/brand-identity-sheet/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/devkindhq/ideogram-ai-toolkit/brand-identity-sheet"><img src="https://agentmods.dev/badge/skills/devkindhq/ideogram-ai-toolkit/brand-identity-sheet.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 | $0.00314 | $0.03252 |
| Opus 5.5 | $0.00126 | $0.01301 |
| Sonnet 5.5 | $0.00063 | $0.00650 |
| Haiku 4.5 | $0.00031 | $0.00325 |
Grade A, and why
brand-identity-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 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.
How it starts
The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Identity Sheet
A brand identity sheet is a single generated image that shows a brand's whole visual system at once — not one mark, but a UI card carrying the wordmark, a grid of textured/gradient app icons, pill-shaped buttons in the brand palette, a headline-scale wordmark treatment, and a secondary lockup with a small brand glyph. It's the format you reach for when the ask is "help me see the whole system," not "give me a logo."
This is a sibling to logo-prompting, not a replacement. Use logo-prompting when the
deliverable is one mark. Use this skill when the deliverable is a board that puts the
mark in context — alongside icons, buttons, and type at scale — the way a designer's
Dribbble-style brand-sheet shot looks.
It's also downstream of moodboard-generator, not a competitor to it. A moodboard
explores direction before anything is locked (loose adjectives, an open palette, rough
logo sketches); this skill renders the locked system once real colors, typography,
and a real mark exist. If step 1 below turns up no brand.md and the user can't state
real hex/typography values, that's the signal to run moodboard-generator first
rather than inventing values here.
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 not decoration — it's what makes the sheet reusable: another agent (or a future you) can read the bbox spec and know exactly which panel is the wordmark card, which is the icon grid, which is the CTA button, without having to re-look at the image. Seereferences/composition-spec-format.mdfor the full schema and a worked example.
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 hallmark/website work later, the
same way technauts-logo-prompting-space's output fed the site rebrand).
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.
- 1mo ago First seen · 206 lines · 314 tokens per session scan A 12cc235fe833
brand-identity-sheet is a skill published in the GitHub repository devkindhq/ideogram-ai-toolkit (2 stars, last pushed 6d ago), licensed Apache-2.0. It adds 314 tokens to every session and 3,252 once invoked, about $0.0013 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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