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-comicgit 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-comic)<a href="https://agentmods.dev/skills/modellix/modellix-plugin/modellix-comic"><img src="https://agentmods.dev/badge/skills/modellix/modellix-plugin/modellix-comic/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-comic"><img src="https://agentmods.dev/badge/skills/modellix/modellix-plugin/modellix-comic.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 | $0.00140 | $0.01725 |
| Opus 5.5 | $0.00056 | $0.00690 |
| Sonnet 5.5 | $0.00028 | $0.00345 |
| Haiku 4.5 | $0.00014 | $0.00172 |
Grade A, and why
modellix-comic 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Modellix Comic
Turn a source into a storyboard and one prompt per page. This skill plans the
comic. modellix-design generates each image.
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 pages made, finish the brief first and then hand the prompts to
modellix-design in order.
A structured infographic belongs to modellix-infographic. An article cover with
no named network belongs to modellix-cover-image. A set of illustrations placed
through an article belongs to modellix-article-illustrator. A card for a named
network belongs to modellix-social-card. A poster, product shot, or single
illustration belongs to modellix-image-prompt-engineering. A commerce UGC video
belongs to modellix-ecomm-ugc-video. Files already on disk belong to
modellix-ffmpeg or modellix-moviepy.
Route the request
Use this skill when the user wants a new comic that explains something: a tutorial, a technical idea, a biography, a concept story, or a four-panel strip.
Ask once for the source when the user names the format but not the subject. Do not invent a title, a date, a quotation, or a statistic to fill an empty request.
Skip or keep the pass short when:
- The user already supplied finished page prompts and asked only to run them.
Pass those prompts to
modellix-designin the order given. - The request is one comparison, sequence, or metric board with no story. Use
modellix-infographic. - The request is one article, blog, or newsletter cover. Use
modellix-cover-image. - The request is a set of illustrations placed through an article, with no comic
pages. Use
modellix-article-illustrator. - The request names a network and a card, cover, thumbnail, or carousel. Use
modellix-social-card. - The request is a poster, product shot, or single illustration. 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.
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.
- 5d ago First seen · 141 lines · 140 tokens per session scan A d4e72c66fa7c
modellix-comic is a skill published in the GitHub repository Modellix/modellix-plugin (1 stars, last pushed 5d ago), licensed MIT. It adds 140 tokens to every session and 1,725 once invoked, about $0.0006 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 2026-10-23.
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elixir-idioms
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examples
Provide Phoenix, LiveView, Ecto, OTP, or Oban examples. Use when asked for sample code, a walkthrough, a proper implementation, or expected workflow output. Pair with domain skills. NOT for debugging, direct changes, best-practice advice, or audits.
intro
Walk through the Elixir/Phoenix plugin commands, workflow, and features in 6 interactive sections. Use when a new user wants to learn what the plugin offers or needs a refresher on available commands.
top-one-percent
Teach any topic deeply from first principles and build evidence-based paths toward exceptional capability. Use when a user asks to understand, explain, learn, or deep-dive into a topic; asks why or how something works, why it matters, how alternatives compare, or what different perspectives reveal; requests current…