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 Modellix/modellix-plugin --skill modellix-infographicgit clone --depth 1 https://github.com/Modellix/modellix-pluginWrote 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/modellix/modellix-plugin/modellix-infographic)<a href="https://agentmods.dev/skills/modellix/modellix-plugin/modellix-infographic"><img src="https://agentmods.dev/badge/skills/modellix/modellix-plugin/modellix-infographic/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/modellix/modellix-plugin/modellix-infographic"><img src="https://agentmods.dev/badge/skills/modellix/modellix-plugin/modellix-infographic.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 | $0.00132 | $0.01167 |
| Opus 5.5 | $0.00053 | $0.00467 |
| Sonnet 5.5 | $0.00026 | $0.00233 |
| Haiku 4.5 | $0.00013 | $0.00117 |
Grade A, and why
modellix-infographic 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Modellix Infographic
Turn a source into one prompt for one infographic. This skill plans the image.
modellix-design generates it.
Do not submit, poll, download, authenticate, or inspect model schemas here. Do not
run the Modellix CLI. Do not recommend a model, a provider, or a slug. When the
user wants the image made, finish the brief first and then hand the prompt to
modellix-design.
A cover, thumbnail, or carousel for a named network belongs to
modellix-social-card. A poster, product shot, or illustration that is not an
information diagram belongs to modellix-image-prompt-engineering. Files already
on disk belong to modellix-ffmpeg or modellix-moviepy.
Route the request
Use this skill when the user wants one image that explains a source: a comparison, a sequence, a funnel, a cycle, a stack of layers, a hub, a metric board, or a set of peer modules.
Ask once for the source when the user names the format but not the content. Do not invent facts to fill an empty request.
Skip or keep the pass short when:
- The user already supplied a finished prompt and asked only to run it. Pass that
prompt to
modellix-design. - The request is a social card for a specific network. Use
modellix-social-card. - The request is an article, blog, or newsletter cover. Use
modellix-cover-image. - The request is a set of illustrations placed through an article. Use
modellix-article-illustrator. - The request is a knowledge comic, educational comic, biography comic, or four-panel strip. Use
modellix-comic. - The request is a poster or product image with no structured facts. Use
modellix-image-prompt-engineering. - The request is a commerce UGC video that still needs a shot plan. Use
modellix-ecomm-ugc-video. - The request is video editing, credentials, task status, or a download.
Plan the image
Read references/structures.md to choose the structure. Read
references/prompt-shape.md before writing the prompt.
- Copy the facts that must appear. Keep every number, name, and quotation. Drop credentials, tokens, and secrets. Do not add a statistic the source does not contain.
- State one purpose: what the viewer should understand in a glance.
- Split the source into sections. Each section has a short headline, the exact text, and a visual role such as a bar, a step, or a spoke.
- Offer two or three structures that fit, each with a one-line reason. A structure the user already named is the confirmation. Otherwise wait. Also confirm the aspect and the on-image language. Language follows the source unless the user names another.
- Write one prompt for one flat image. Quote the exact words, say which line is largest, and describe where each section sits. Tell the model to copy the quoted text and not add labels of its own.
What ships with it
4 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.
- 5d ago Changed · +5 lines · +9 tokens per session 8e826a7a9c71
- 6d ago First seen · 103 lines · 123 tokens per session scan A b5f0ab546119
modellix-infographic is a skill published in the GitHub repository Modellix/modellix-plugin (1 stars, last pushed 5d ago), licensed MIT. It adds 132 tokens to every session and 1,167 once invoked, about $0.0005 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 2026-10-21.
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