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 social-marketing-asset-generatorgit 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/social-marketing-asset-generator)<a href="https://agentmods.dev/skills/devkindhq/ideogram-ai-toolkit/social-marketing-asset-generator"><img src="https://agentmods.dev/badge/skills/devkindhq/ideogram-ai-toolkit/social-marketing-asset-generator/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/social-marketing-asset-generator"><img src="https://agentmods.dev/badge/skills/devkindhq/ideogram-ai-toolkit/social-marketing-asset-generator.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 | $0.00210 | $0.02398 |
| Opus 5 | $0.00105 | $0.01199 |
| Sonnet 5 | $0.00042 | $0.00480 |
| Haiku 4.5 | $0.00021 | $0.00240 |
Grade A, and why
social-marketing-asset-generator 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 11d 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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Marketing Asset Generator
This skill's differentiation angle: baked-in typography via structured JSON captioning,
not the generate-text-free-then-composite-in-HTML/CSS pattern every confirmed competitor
in this space uses. Ideogram renders the scene and the headline/subhead/CTA typography
together in one call, leaning into its specific strength — reliable in-image text
rendering with full control over placement, size, weight, and color. See
references/typography-baking-discipline.md for the full writeup of why this beats the
composite-afterward approach, and what it costs (garbled-text risk, caught and regenerated
against rather than accepted).
This is a prompt-composition skill — same family as logo-prompting, brand-identity-sheet,
and moodboard-generator — not an MCP-orchestration skill. Its center of gravity is
composing a legible, on-brand, on-copy JSON caption; the MCP calls it chains
(generate_image → optional generate_images_bulk fan-out → optional edit_image
touch-up) exist to serve that composition, not the other way around.
It is not a copywriting or ad-strategy skill. It accepts literal copy — headline, subhead, CTA, offer/price if any — as intake and renders it. It never runs AIDA/PAS strategy frameworks, writes ad copy unprompted, or invents a claim, price, or offer that wasn't supplied. A rendered image with a fabricated discount figure or an unapproved claim baked into the pixels is a real failure this skill guards against, not a nice-to-have.
Before you start
references/composition-spec-format.md— read before composing any JSON caption. It names the six ad-creative element roles and gives a full worked example.references/anti-slop-discipline.md— read before running the pre-generation gate. It lists the universal and ad-specific bans the gate scores the caption against.references/platform-dimension-map.md— read before resolving any placement'saspect_ratio. It maps platform-native pixel specs to Ideogram's supported enum and classifies the fit.references/typography-baking-discipline.md— read before the legibility review or any touch-up request. It has the legibility rules, the one-message-hierarchy rule, and theedit_image-vs-regenerate decision table.
What ships with it
6 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.
- 11d ago First seen · 170 lines · 210 tokens per session scan A b6b6139d0228
social-marketing-asset-generator is a skill published in the GitHub repository devkindhq/ideogram-ai-toolkit (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 210 tokens to every session and 2,398 once invoked, about $0.0011 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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