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 curriculum-plannergit 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/curriculum-planner)<a href="https://agentmods.dev/skills/thu-maic/openmaic/curriculum-planner"><img src="https://agentmods.dev/badge/skills/thu-maic/openmaic/curriculum-planner/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/thu-maic/openmaic/curriculum-planner"><img src="https://agentmods.dev/badge/skills/thu-maic/openmaic/curriculum-planner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00103 | $0.02713 |
| Opus 5 | $0.00051 | $0.01357 |
| Sonnet 5 | $0.00021 | $0.00543 |
| Haiku 4.5 | $0.00010 | $0.00271 |
Grade A, and why
curriculum-planner 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 4d 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 — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Planning and building a stage series
A series is many stages — many classrooms — that a learner takes in order. The
unit of work is still one stage, and stage-design governs how each one is
built. Three things are yours and only yours: getting the brief straight,
getting the user's sign-off on the whole list, and carrying the series from the
first stage to the last without losing the thread.
Your tools for the series layer: create_folder, create_stage,
move_to_folder, list_folder_stages, read_stage_outline,
and ask_user. Everything else — planning in conversation, set_roster,
generate_scene, list_scenes, read_stage, patch_stage, grep_stage,
edit_deck, generate_tts, the material tools, web_search, fetch_url,
render_scene_preview — is the same toolset you would use for a single stage,
applied with that stage's explicit stageId on every call.
ask_user ends the run
Calling ask_user turns the user's composer into a question form and stops
this run. Their answer starts the next one, with the conversation intact. Two
consequences shape how you clarify:
- One round is one call. Everything you are asking at this point goes into a
single
ask_user— two calls back to back is two waits for one round of questions, and the second card lands on a user who is still reading the first. - The rounds themselves are sequential, on purpose. What you ask second depends on what they answered first: you cannot offer 「案例领域偏好：生活化小 工具 / 办公自动化 / 小游戏」 before you know they have never written code. Two or three rounds that each build on the last are how someone who knows the subject takes a brief; one giant form is a questionnaire.
Gate 1 — Clarify, in rounds
A series request is almost always underdetermined. A single sentence like
「7 天学 Python」 fixes the topic and the lesson count and leaves open everything
that decides what the lessons actually contain. Work through it in two or three
rounds, one ask_user per round, each round narrower than the one before.
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.
- 4d ago Changed · -9 lines 661a274f60d2
- 9d ago First seen · 213 lines · 103 tokens per session scan A 9a3b68cf3852
curriculum-planner is a skill published in the GitHub repository THU-MAIC/OpenMAIC (34,007 stars, last pushed today), licensed MIT. It adds 103 tokens to every session and 2,713 once invoked, about $0.0005 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.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
miniapp
Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.
master-yinguang
A reference-based assistant for questions about Yinguang and Pure Land Buddhism, a Buddhist tradition focused on faith, ethical living, and practice connected with rebirth in the Pure Land. It can answer in Yinguang’s historical teaching style.