Description

中国中小学教师教学能力动态评估系统。基于学生学业数据（来自 homework-grading-assessment skill）生成同年级班级间学业对比图及教师教学能力评估图。触发场景：(1)生成同年级不同班级学业情况动态对比图 (2)生成单科教师教学能力评估与同科教师横向对比 (3)按角色分级管理教师数据查看权...

README (SKILL.md)

教师教学能力动态评估

Name: 教师教学能力动态评估Skill
Author: yezhaowang888-stack

核心功能

1. 教师教学效果评估

基于 homework-grading-assessment 输出的学生知识点掌握数据，评估教师教学效果：

班级维度: 所教班级各知识点掌握率的提升幅度（学期初 → 当前）
时间维度: 历次测验成绩变化趋势（稳定上升 / 波动 / 下降）
均衡维度: 班级内部学生差距变化（标准差缩小趋势 → 教学均衡性好）
综合评分: 多维度加权得出教学效果得分（0-100）

2. 同年级班级间学业对比

学业情况动态图:
- 折线图：各班各科平均分/掌握率随时间变化
- 箱线图：各班成绩分布对比（中位数、四分位距、极值）
- 进度条图：各班知识点完成度对比
对比图交互: 可选定任意两个或多个班级叠加对比，支持环比（与上次测验比）和同比（与上月/上学期比）

3. 同科教师教学对比

单科教师教学效果对比图:
- 柱状图：同年级同科教师教学综合评分排序
- 雷达图：教学能力的多个维度（知识点覆盖度、学生进步度、均衡性、作业反馈时效）
- 热力图：各教师在各知识点上的"班级掌握率"对比
个人成长曲线: 单名教师历次评估的分数变化趋势

4. 分层授权管理

角色	数据可见范围
单科教师	自己教学评分、同科同年级教师对比数据（匿名或实名由学校配置）
年级组长	本年级各班各科教师数据、年级整体教师评价
教导主任/教务	全校教师评估数据、配置对比实名/匿名、分配查看权限
校长	全校教师总览、定向深入查看
系统管理员	权限配置、数据导入导出、系统设置

5. 报告的组成

个人报告: 教师姓名、所教班级、各维度评分、教学建议（可改进方向、推荐教研活动）
年级报告: 年级整体教学质量总览、各班/各科排布、关注建议（需重点关注班级或教师）
校级报告: 全校教学趋势、学科强弱项、资源配置建议

数据依赖

本 skill 依赖 homework-grading-assessment skill 的输出数据，主要是：

student KP mastery data
class-level aggregated scores
historical trend data

参考文件

见 references/data-model.md — 教师、评估模型、对比维度的数据结构。见 references/permission-model.md — 教师数据分级查看权限。见 references/chart-spec.md — 教师评估图表规格。见 references/textbook-version-mapping.md — 知识点-教材版本映射方案，教师评估依赖的知识点数据源于此映射体系。

授权说明

本技能文件（含所有附属参考文档）为设计说明与产品预览，仅限个人教师免费查阅和使用其中的教育理念与评估方法论。

商业使用许可: 任何学校、教育机构或企业如需部署、集成、定制本系统，或进行任何形式的商业使用，须与惠迈智能（Huimai Intelligence）签订书面商业许可协议。

本文件发布于 ClawHub 平台，发布时间戳作为原创性证明，受《中华人民共和国著作权法》及相关国际版权条约保护。未经授权复制、分发、修改或商用将追究法律责任。

Usage Guidance

This skill appears internally consistent with its stated goal of generating teacher and class comparison charts from student mastery data. Before installing or deploying, verify: (1) the provenance and trustworthiness of the upstream homework-grading-assessment skill (it supplies the student data); (2) privacy and compliance — ensure consent, PII protections, and anonymization settings are configured as intended; (3) who can export or migrate data and whether exports are encrypted/audited; (4) how the skill will be integrated (APIs, database access, file import/export) and what real credentials or storage access will be granted at runtime. Also note the commercial license text — commercial use may require a contract with the vendor. If you want a deeper review, provide the integration points (what APIs or storage the skill will read/write) and any implementation code that will run in your environment.

Capability Analysis

Type: OpenClaw Skill Name: huimai-teacher-capacity Version: 1.0.0 The skill bundle is a collection of design specifications and data models for a teacher evaluation system (Huimai Intelligence). It contains no executable code, scripts, or instructions that would trigger unauthorized actions. The documentation in SKILL.md and the reference files (data-model.md, permission-model.md, etc.) focuses on business logic, role-based access control, and educational data mapping, with no evidence of data exfiltration, malicious execution, or prompt injection.

Capability Assessment

✓ Purpose & Capability

The name/description match the content of SKILL.md and the reference docs — all files describe charts, data models, permission rules and mapping logic that are appropriate for a teacher-capacity evaluation system. The declared dependency on homework-grading-assessment output is coherent with the stated purpose.

ℹ Instruction Scope

The SKILL.md stays within the stated scope (consuming student/class KP mastery data and producing charts/reports). Note: the skill implies access to student and teacher records and supports data export/migration and anonymization options — these are expected for this domain but represent sensitive data handling that implementers must secure and audit.

✓ Install Mechanism

Instruction-only skill with no install spec and no code files — nothing is written to disk or downloaded by the skill itself, which minimizes install-time risk.

✓ Credentials

The skill declares no environment variables, no external credentials, and no config paths. The data access it needs is internal (outputs from the homework-grading-assessment skill); that is proportionate to its purpose. If integrated into a real deployment, appropriate service credentials and access controls will be needed, but they are not requested here.

✓ Persistence & Privilege

The skill does not request always: true and contains no install hooks or instructions to change other skills' configurations. It documents data export and migration features (normal for this domain) but does not itself request persistent elevated privileges.

Version History

v1.0.0

v1.0.0: 初始发布，含专有授权协议

Metadata

Slug huimai-teacher-capacity

Version 1.0.0

License MIT-0

All-time Installs 0

Active Installs 0

Total Versions 1

Frequently Asked Questions

What is 教师教学能力动态评估Skill?

中国中小学教师教学能力动态评估系统。基于学生学业数据（来自 homework-grading-assessment skill）生成同年级班级间学业对比图及教师教学能力评估图。触发场景：(1)生成同年级不同班级学业情况动态对比图 (2)生成单科教师教学能力评估与同科教师横向对比 (3)按角色分级管理教师数据查看权... It is an AI Agent Skill for Claude Code / OpenClaw, with 74 downloads so far.

How do I install 教师教学能力动态评估Skill?

Run "/install huimai-teacher-capacity" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 教师教学能力动态评估Skill free?

Yes, 教师教学能力动态评估Skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does 教师教学能力动态评估Skill support?

教师教学能力动态评估Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 教师教学能力动态评估Skill?

It is built and maintained by yezhaowang888-stack (@yezhaowang888-stack); the current version is v1.0.0.

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