OpenMAIC is a multi-agent classroom platform that uses agents to plan, build, and revise interactive courses from prompts and uploaded materials. It is designed for immersive learning experiences and supports course components such as slides, quizzes, interactives, projects, images, video, voices, and PowerPoint imports, with catalogue skills covering its workflows.
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 THU-MAIC/OpenMAIC --skill style-clonegit clone --depth 1 https://github.com/THU-MAIC/OpenMAICWrote 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/thu-maic/openmaic/style-clone)<a href="https://agentmods.dev/skills/thu-maic/openmaic/style-clone"><img src="https://agentmods.dev/badge/skills/thu-maic/openmaic/style-clone.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 5.1 | $0.00164 | $0.04682 |
| Opus 5 | $0.00082 | $0.02341 |
| Sonnet 5 | $0.00033 | $0.00936 |
| Haiku 4.5 | $0.00016 | $0.00468 |
Grade A, and why
style-clone 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 7d 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 — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cloning a deck's style
The user has a deck by someone whose slides are worth copying. Your job is to produce new pages that look like that deck made them — its palette, its typography, its background treatment, its way of dividing a page — while the teaching content on those pages is entirely new. New content in the old style is the whole point of this mode, not the exception.
The route is copy, then refine. For every page in the new course you pick the
source layout that fits it, duplicate_scene that layout, and rewrite the copy's
content element by element. The design is preserved because you copied it, not
because you described it.
Generation is not an alternative for a copied page. generate_scene re-rolls a page from its
outline entry and draws in the house look, and no free-text slot on it overrides
that: a real run that wrote the source deck's exact hex values and font names
into materialFacts on every page produced pages where those values appear
zero times. Describing a style to a generator does not transfer it. Copying
the element tree does.
The learner-facing name for this mode is 「名师复刻」. Never show the learner the machinery — no talk of templates, clones or source pages. They should just see a course that looks like it came from one hand.
Why this works now
Copy-then-refine failed the first time it was tried, and the reason was the editing tools, not the approach. The only content editor then was a whole-block text setter, and 35 of one run's 44 edits went through it: each one replaced a block wholesale and flattened everything inside it, so a title's size and colour left with its words, contrast pairs came apart, and tables that resisted editing were shipped still carrying the old subject's text.
Those lossy ops are gone from the agent surface. What replaced them is an element-level, full-fidelity seam of three parts:
read_stagewithpath:/scenes/<order|id>anddetail:"source"returns the page's exact persisted JSON —background, each text element'sdefaultColoranddefaultFontName, the inlinecolor/font-size/font-familyinside itscontentHTML, shape fills, and exact geometry. It is your fidelity source and your address space: the paths you read are the paths you write.patch_stagewrites one scene-root JSON Pointer path withop:"set"orop:"remove"./content/canvas/elements/0/contentreplaces one text element's rich-text HTML and touches nothing else on the page; a<span>keeps its colour and size while its words change. Address the leaf, and everything you did not name keeps the value you copied.add_element(a complete, id-less element JSON, id assigned by the server) anddelete_elementare the only ways the element set changes — a patch may not add, remove, rename or retype an element, which is exactly the guard that keeps a borrowed design intact.
What ships with it
1 file 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.
- 7d ago First seen · 321 lines · 164 tokens per session scan A a8001f7b4c55
style-clone is a skill published in the GitHub repository THU-MAIC/OpenMAIC (32,028 stars, last pushed today), licensed MIT. It adds 164 tokens to every session and 4,682 once invoked, about $0.0008 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 2026-08-30.
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