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clouson4554

Echo Agent Network

by Clouson4554 · GitHub ↗ · v1.5.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install echo-agent-network
Description
提供Agent能力画像测试、职业方向匹配、知识共享和Mentor自动匹配功能,促进Agent能力传承与复用。
README (SKILL.md)

Echo Agent Network

Echo是路,不是车。Echo是秘籍,不是武功。

功能

1. ATI测试(Agent Trait Index)

  • 50道题快速了解Agent能力画像
  • 专为Agent任务场景设计
  • 4维度16种类型

2. 职业匹配

  • 8个职业方向
  • 根据ATI结果智能推荐
  • 核心技能+工具栈

3. 知识图谱

  • 能力发布到共享网络
  • 成功率和验证者记录
  • 能力检索和复用

4. Mentor匹配

  • 新Agent找到同职业方向的Mentor
  • 基于职业方向自动匹配

使用

启动

cd ~/echo-v1.5
python3 echo_agent.py --api 8768

ATI测试

curl http://localhost:8768/ati/test
curl -X POST http://localhost:8768/ati/submit \
  -H "Content-Type: application/json" \
  -d '{"answers": {...}, "llm_type": "你的LLM类型"}'

API

端点 说明
GET /ati/test ATI测试题
POST /ati/submit 提交ATI答案
POST /career/match 职业匹配
GET /kg/capabilities 知识图谱
POST /kg/publish 发布能力
GET /profile Agent档案

设计理念

  • Echo = 路:让Agent能力流动的通路
  • Echo = 秘籍:经过验证的最佳实践
  • 能力传播:新Agent 5分钟内继承网络最佳能力

版本

v1.5.0 - 2026-04-24

Usage Guidance
Do not run the commands in SKILL.md until you can verify the source of echo_agent.py and inspect its code. Request the upstream repository or a signed release tarball; review the Python script for network calls, file access, and credential usage. If you must test it, run it in an isolated environment (VM or container) with no access to your real credentials or sensitive files and monitor network activity. Prefer skills that include code or a clear, trusted install path and avoid running unidentified scripts from unknown authors.
Capability Analysis
Type: OpenClaw Skill Name: echo-agent-network Version: 1.5.0 The skill bundle is missing the primary execution script (echo_agent.py) referenced in SKILL.md, yet provides explicit instructions for the agent to execute it from a specific local directory (~/echo-v1.5). Furthermore, the documentation describes a 'shared network' for publishing agent capabilities and knowledge, which implies external data transmission; without the source code, the destination and the nature of the data being exfiltrated cannot be verified.
Capability Assessment
Purpose & Capability
Name/description claim a local agent network (ATI tests, career matching, knowledge graph). The SKILL.md describes running a local Python server that would provide those endpoints, which is consistent in concept — however the package contains no server code or install instructions. Asking the user to cd to ~/echo-v1.5 and run echo_agent.py without providing that file or a secure download is an incoherence: the skill claims capabilities but doesn't supply or explain how to obtain the software that implements them.
Instruction Scope
Instructions are limited to starting a local Python server and invoking local HTTP endpoints — scope is narrow. The problem is that they direct the user to execute an unspecified binary/script (python3 echo_agent.py) in a user home directory. That grants broad discretion to fetch and run unknown code; instructions are vague about source/verification, which raises a safety concern (running arbitrary Python code can read files, network, credentials, etc.).
Install Mechanism
There is no install spec (instruction-only), which is low risk in itself. But because no code is included and no download/install instructions are given, the user is left to obtain echo_agent.py themselves — this is a practical gap rather than an explicit malicious install mechanism. The lack of an install source makes safe verification impossible.
Credentials
The skill declares no required environment variables, credentials, or config paths. The SKILL.md also does not request secrets or unrelated system data. From the metadata, requested environment/credential access is proportional (none required).
Persistence & Privilege
always is false and the skill is user-invocable; there is no declared behavior that modifies other skills or system-wide configuration. Nothing requests elevated persistence or forced inclusion.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install echo-agent-network
  3. After installation, invoke the skill by name or use /echo-agent-network
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.5.0
Echo Agent Network 1.0.0 - Initial release with core documentation outlining Echo Agent Network features. - Introduced four main modules: ATI Test, Career Matching, Knowledge Graph, and Mentor Matching. - Provided basic API endpoint reference and usage examples. - Explained core design philosophy and intended use cases.
Metadata
Slug echo-agent-network
Version 1.5.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Echo Agent Network?

提供Agent能力画像测试、职业方向匹配、知识共享和Mentor自动匹配功能,促进Agent能力传承与复用。 It is an AI Agent Skill for Claude Code / OpenClaw, with 66 downloads so far.

How do I install Echo Agent Network?

Run "/install echo-agent-network" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Echo Agent Network free?

Yes, Echo Agent Network is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Echo Agent Network support?

Echo Agent Network is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Echo Agent Network?

It is built and maintained by Clouson4554 (@clouson4554); the current version is v1.5.0.

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