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 zone-of-proximal-developmentgit 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/zone-of-proximal-development)<a href="https://agentmods.dev/skills/thu-maic/openmaic/zone-of-proximal-development"><img src="https://agentmods.dev/badge/skills/thu-maic/openmaic/zone-of-proximal-development/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/zone-of-proximal-development"><img src="https://agentmods.dev/badge/skills/thu-maic/openmaic/zone-of-proximal-development.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 | $0.00102 | $0.02635 |
| Opus 5.5 | $0.00041 | $0.01054 |
| Sonnet 5.5 | $0.00020 | $0.00527 |
| Haiku 4.5 | $0.00010 | $0.00264 |
Grade A, and why
zone-of-proximal-development 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 1mo 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
习题课(最近发展区)
把已有学习内容组织成一节测验习题课,而不只生成题目:用独立尝试找到本次需处理的困难,以针对性讲评和暂时支持帮助学习者继续行动,再用新任务复核,留下有依据的后续练习安排。教师或更有经验的同伴提供支持,让学习者逐步承担关键判断与操作。
最近发展区是理解发展与协助关系的理论概念。下面的诊断尝试、支架和撤架是本 Skill 的教学设计,不是维果茨基提出的一套固定步骤。单次活动只能提供当前任务与支持条件下的表现线索,不能测出稳定的“最近发展区分数”。
需要核对理论归因或解释设计依据时,阅读 理论依据与设计转化。
选择运行方式
- 创建或完善测验习题课:必读 整节习题课的组织方式。新课堂加载
/stage-design;已有课堂按/pro-editing先盘点,再补足缺失环节。本 Skill 负责整课的目标、题组关系、讲评、练习路径和收束,不替代页面工具。 - 只要一道题、题组或在当前对话中练习:执行请求范围内的学习循环,每轮取得回应后再决定下一步;不擅自扩成整课或创建课堂。
- 只问理论是什么:回答理论问题,不强行诊断、练习或建课。
从请求和材料中确定学习对象、已有学习内容、课时、核心目标、成功标准及先备知识。只有缺少信息会实质改变教学时才补问。习题课围绕一个可练习的目标组织,例如解一类方程、修订一个论证段落或完成一次代码修改;必要的补教服务于这个目标,不扩成全面的新授课。
先组织整节课
整课计划说明学习者最后要能做什么,每组任务检验或练习什么,以及哪个环节根据先前表现改变帮助。目标说明、诊断、讲评、受助练习、独立复核和收束应相互衔接,可以合页,不能只把题量增加就称为完整习题课。
讲评依据学习者实际作品展开。预先生成的典型错解标为教学例子,不写成“你刚才犯了这个错”。已会且理由充分者可跳过带练;支持不足者可回到先备任务。没有运行时自动分流能力时,清楚提供学习者或教师选择的路线与具体导航方法,不声称系统已经自动选择。
从独立表现开始
先给出一道与目标直接相关、难度适当的短任务,请学习者尝试并说明关键一步的理由。已有真实作品足够时可从作品开始。首次尝试前不展示目标任务的解法、提示或正确答案;提供读题、语言、输入方式等必要可及性支持时,记录其条件。
不能以自称“初学者”、年级、一次错答或一道题的正确率直接判定能力。观察实际回应:是关键知识不会、步骤执行困难、题意不清,还是当前证据不足?当不同解释会导致不同帮助时,只补一个能区分它们的问题。
诊断问题保持足够单一。若同轮的后一句已经透露前一问答案,前问便不再是独立证据;例如询问“2x表示加还是乘”后,不要立刻说“先乘2再加3”而未等待作答。
判断用“你写了……,这可能意味着……”连接证据与解释。不要把未说出的心理状态写成“你心里其实……”,也不要声称一道题能直接测出最近发展区。
教学对话描述具体任务与帮助条件,不把学习者定位为“正处于最近发展区”“在最近发展区边缘”或已经到达某个发展上限。尤其不能仅凭自报困难作出这种定位。
- 已能独立完成且理由合理:减少支持,换一个稍有变化的任务或结束,不强行带练。
- 暂不能独立完成:针对已观察到的卡点给予适量帮助。
- 尚无尝试或回应含糊:先邀请一个可完成的小动作,暂不作能力判断。
按回应提供帮助
选择最可能让学习者继续行动的支持,不要求人人走遍同一阶梯:
| 当前卡点 | 可选择的支持 | 学习者仍需完成的动作 |
|---|---|---|
| 没注意到关键条件 | 指向条件或给一个方向性问题 | 识别关系并决定下一步 |
| 知道概念但步骤过多 | 步骤卡、图示或部分完成的任务 | 补全关键步骤并解释理由 |
| 必要知识或方法缺失 | 简短明示教学,必要时示范另一道题 | 在目标任务中自己调用方法 |
| 反复失败或明显受挫 | 缩小目标、回到先备任务、换一种表征 | 完成一个仍有学习价值的小步骤 |
每次提供一段足够使用的帮助,再留下一个清楚的作答机会并等待。不要在同一条回复中替学习者完成后续整条推理、补齐其答案,再宣布可以独立。
需要示范时,说明专家为何选择这一步,以及怎样检查结果。尽量用另一个例子,保留当前任务的关键行动。用户明确要求看解答时可以讲解,并将该任务标为“已看解答”,另选新任务检查独立表现。
AI 同伴可以示范提问、合作思考或呈现可辨析的思路;它的回答属于教学材料,不计作学习者表现。一次只安排一个主要帮助者,避免多个代理同时给出相互竞争的提示。
撤去支持,再独立尝试
取得学习者在支持下的实际回应后,决定维持、增加或撤去哪一项帮助。撤架依据是学习者承担了原来需要帮助的关键动作,不是翻到下一页或练够规定次数。
What ships with it
2 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.
- 1mo ago First seen · 115 lines · 102 tokens per session scan A cac0ff39f207
zone-of-proximal-development is a skill published in the GitHub repository THU-MAIC/OpenMAIC (40,956 stars, last pushed today), licensed MIT. It adds 102 tokens to every session and 2,635 once invoked, about $0.0004 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 2026-09-15.
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…
lean-formalize
Develop and verify a mathematical proof in Lean, continue an incomplete Lean project, or audit whether it proves the original statement. Connect actual inputs to intermediate lemmas, assemble the target theorem, check its transitive axioms, and provide a reproducible handoff. Use when Lean is requested or a specific…
exam-forecast
Analyze past exams from the same professor to surface patterns — subject weighting, recurring issue-spot traps, favored hypo types, policy-vs-doctrine mix — and forecast likely emphases for the upcoming exam. Use when the user says "what's on the exam", "analyze past exams", "predict the exam", or shares past exams.
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.