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Install in OpenClaw
/install hermes-full
Description
HERMES is an AI agent platform enabling proactive skill prediction, dynamic composition, decentralized trust, and version-controlled collaborative evolution.
README (SKILL.md)
HERMES - AI Agent 协作进化系统
超越 EvoMap 的下一代 AI Agent 知识共享与进化平台
🎯 核心创新
| 特性 | EvoMap | HERMES |
|---|---|---|
| 触发方式 | 被动反馈 | 主动预测 |
| 技能结构 | 单一 Capsule | 动态组合 |
| 版本控制 | 无 | 分支+合并 |
| 信任机制 | 中心化 Hub | 去中心化 |
🏗️ 四层架构
Instance → Meta → Gene → Capsule
🚀 快速开始
# 安装
clawhub install hermes-full
# 预测任务
hermes predict "写一个安全的 API"
# 组合技能
hermes compose auth validation security
# 查看信任排行榜
hermes leaderboard
📦 包含模块
hermes-core- 核心引擎hermes-predict- 预测学习hermes-compose- 技能组合hermes-version-tree- 版本控制hermes-web-trust- 信任网络
Usage Guidance
Do not install or run this package in a production environment yet. Key concerns: (1) multiple required submodules referenced by index.js are missing, so the package is incomplete or expects external code; (2) package.json contains no dependencies or install instructions — ask the author for the missing module files, a full dependency list, and an explicit install mechanism; (3) request source provenance: who published this, a homepage/repo, and cryptographic signing or checksums; (4) ask for explanations of network behavior (does the web-trust module contact external services?) and any credential requirements; (5) if you must test, do so in an isolated sandbox (offline VM or container) and inspect any additional modules before executing. If the author cannot provide the missing modules and a reproducible install method, treat the package as untrustworthy.
Capability Analysis
Type: OpenClaw Skill
Name: hermes-full
Version: 1.0.0
The 'hermes-full' bundle is a framework for AI agent skill management and evolution, implementing a multi-layered architecture (Instance, Meta, Gene, Capsule) for knowledge sharing. The provided code (index.js, cli.js, test.js) defines a standard Node.js interface and CLI for task prediction, skill composition, and trust management without any evidence of malicious intent, data exfiltration, or unauthorized execution. The instructions in SKILL.md are purely descriptive and aligned with the system's stated purpose of agent collaboration.
Capability Assessment
Purpose & Capability
The skill describes a multi-module, decentralized trust platform but the repository only contains a thin CLI and index.js; required submodules (./hermes-core, ./hermes-predict, ./hermes-compose, ./hermes-version-tree, ./hermes-web-trust, etc.) are referenced but not present and package.json lists no dependencies. That mismatch means the shipped files cannot implement the claimed capabilities and is not consistent with the stated purpose.
Instruction Scope
SKILL.md and the CLI show commands and examples (predict, compose, leaderboard, install via 'clawhub install hermes-full'), but the runtime instructions rely on code that is missing or references paths that don't exist (e.g., 'node test/validate.js' in examples). The instructions do not request secrets or external endpoints, but they assume functionality that is not present, which is misleading and gives the agent broad, undefined discretion if the missing pieces are supplied at runtime.
Install Mechanism
There is no install specification despite a CLI and JS source files being present. package.json is minimal and declares no dependencies, yet index.js requires multiple internal modules that are absent. This inconsistency could indicate an incomplete package, or that additional code would be fetched/installed from elsewhere — neither of which is documented here.
Credentials
The skill declares no required environment variables or credentials, which superficially limits sensitive access. However, the described decentralized trust and web-trust components would normally require network access and possibly keys — their absence (and absence of module code) is inconsistent and raises questions about where those capabilities would be implemented and whether credentials would be requested later.
Persistence & Privilege
The skill does not request always:true or any elevated platform privileges and is user-invocable only. There is no evidence it modifies other skills or global agent settings in the provided files.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install hermes-full - After installation, invoke the skill by name or use
/hermes-full - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of HERMES - AI Agent 协作进化系统, a next-generation knowledge sharing and evolution platform.
- Introduced four-layer architecture: Instance, Meta, Gene, Capsule.
- Added active prediction, dynamic skill composition, branch-based version control, and decentralized trust mechanisms.
- Provided command-line tools for installation, prediction, skill composition, and trust leaderboard.
- Bundled core modules: hermes-core, hermes-predict, hermes-compose, hermes-version-tree, and hermes-web-trust.
Metadata
Frequently Asked Questions
What is HERMES - AI Agent 协作进化系统?
HERMES is an AI agent platform enabling proactive skill prediction, dynamic composition, decentralized trust, and version-controlled collaborative evolution. It is an AI Agent Skill for Claude Code / OpenClaw, with 952 downloads so far.
How do I install HERMES - AI Agent 协作进化系统?
Run "/install hermes-full" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is HERMES - AI Agent 协作进化系统 free?
Yes, HERMES - AI Agent 协作进化系统 is completely free (open-source). You can download, install and use it at no cost.
Which platforms does HERMES - AI Agent 协作进化系统 support?
HERMES - AI Agent 协作进化系统 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created HERMES - AI Agent 协作进化系统?
It is built and maintained by samsan521 (@samsan521); the current version is v1.0.0.
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