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Install in OpenClaw
/install educlaw-agents
Description
Multi-agent learning system supporting English, Math, and Chinese with isolated contexts and automatic routing by subject.
README (SKILL.md)
Educlaw 多学科 Agent
多Agent学习系统，支持英语、数学等学科，每个学科由独立Agent处理，上下文完全隔离。
功能
- 多学科支持：英语（免费）、数学、语文
- Agent隔离：各科学记忆独立，互不干扰
- 智能路由：自动识别用户意图，路由到对应学科Agent
- 积分系统：完成练习获得积分，持续激励学习
使用方法
直接告诉我想学什么学科：
- "学英语" → 英语Agent
- "学数学" → 数学Agent
- "学语文" → 语文Agent
架构
用户输入 → 意图识别 → Agent路由 → 学科Agent → 回复
- 每个Agent有独立的instruction和memory
- 上下文完全隔离，避免记忆污染
配置
编辑 router/config.yaml 自定义路由规则。
版本
v2.0.1
Usage Guidance
This package appears to be what it claims: a router plus per-subject agent instructions with no hidden code or credential requests. Before installing: (1) Inspect where OpenClaw stores agent memory and config on your system — the skill stores child_name/grade and authorization flags which may be sensitive; avoid putting real PII until you confirm storage/encryption. (2) Note persistence depends on an external plugin (lossless-claw) which is not bundled—verify that plugin and its install method. (3) Paid math access uses off-platform contact (WeChat) and activation codes listed in the README/YAML — no built-in payment provider is included. (4) If you plan to modify router/config.yaml or copy files into ~/.openclaw/agents/, back up existing configs and confirm OpenClaw version compatibility. If you want stronger privacy guarantees, ask the author how memories are persisted and who can read them; if that info is not available, treat stored student data as potentially readable by whoever has filesystem access to the OpenClaw agent data directory.
Capability Analysis
Type: OpenClaw Skill
Name: educlaw-agents
Version: 2.0.1
The skill bundle is a multi-agent educational system for English and Math learning. It utilizes standard OpenClaw routing and agent configurations (router/config.yaml, english/agent.yaml, math/agent.yaml) to manage student interactions, progress tracking, and a points-based incentive system. While the Math agent includes a simulated 'paywall' and activation code logic within its instructions, there is no evidence of data exfiltration, malicious command execution, or harmful prompt injection. All behaviors are consistent with the stated educational purpose.
Capability Assessment
Purpose & Capability
Name/description (multi-subject learning + routing) matches the included files: router rules, per-subject agent YAMLs, and README. There are no unexpected required binaries, environment variables, or external credentials that would be inconsistent with an educational routing agent.
Instruction Scope
The SKILL.md and agent YAMLs confine their actions to intent recognition, routing, simple in-memory memory writes (student name, authorization flags), scoring and point bookkeeping. They instruct editing router/config.yaml and rely on the platform's memory system. They do not instruct reading arbitrary system files or contacting hidden endpoints in the provided content. Note: the skill stores student identity and authorization flags in memory/config which may contain PII—verify where memory is persisted and who can access it.
Install Mechanism
This is instruction-only with no install spec and no code files to execute. README suggests user-side copy into ~/.openclaw/agents/ and restarting the gateway — these are normal user installation steps and not hidden installs. No external download URLs or archive extraction are present.
Credentials
The skill requests no environment variables or credentials (proportional). However: (1) it keeps child_name/child_grade and authorization flags in global config/memory (possible PII), (2) persistence of points is said to depend on an external 'lossless-claw' plugin (not bundled), and (3) the paid math flow offloads payment/contact to WeChat and activation codes included in README/YAML. These are relevant privacy/operational considerations but are coherent with the claimed functionality.
Persistence & Privilege
always:false (normal). The skill intends to store per-student data and '数学已授权' flags in the agent memory and in router global config. That is expected for a tutoring agent but you should confirm whether memory persists to disk, where it is stored, and whether persistence plugin (lossless-claw) will be installed/used — this affects privacy and retention.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install educlaw-agents - After installation, invoke the skill by name or use
/educlaw-agents - Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.0.1
- Added multi-agent support for English (free), Math, and Chinese Language subjects.
- Each subject managed by a fully isolated agent with separate memory and instructions.
- Intelligent intent recognition and automatic routing to the appropriate subject agent.
- Introduced a points reward system to incentivize continuous learning.
- Users can select subjects directly via simple commands.
Metadata
Frequently Asked Questions
What is Educlaw Multi-Subject Agent?
Multi-agent learning system supporting English, Math, and Chinese with isolated contexts and automatic routing by subject. It is an AI Agent Skill for Claude Code / OpenClaw, with 219 downloads so far.
How do I install Educlaw Multi-Subject Agent?
Run "/install educlaw-agents" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Educlaw Multi-Subject Agent free?
Yes, Educlaw Multi-Subject Agent is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Educlaw Multi-Subject Agent support?
Educlaw Multi-Subject Agent is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Educlaw Multi-Subject Agent?
It is built and maintained by huiing (@xiaohuiing); the current version is v2.0.1.
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