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Install in OpenClaw
/install eo-ability-dream
Description
自我进化能力(Dream Module)，空闲时自动分析失败案例，学习新模式，更新Pattern库
README (SKILL.md)
eo-ability-dream
自我进化能力 (Dream Module) - 睡觉时也在进化，自动学习新模式
一句话介绍
灵感来自"钢铁龙虾军团睡觉时也在进化"，空闲时自动分析失败案例，学习新模式，更新Pattern库。
核心功能
- 失败分析: 空闲时分析失败案例，找出问题根因
- 模式学习: 学习新的专家协作模式
- Pattern更新: 自动更新Pattern Library
- Checkpoint优化: 优化验证策略
使用方法
启动 Dream
# 启动做梦模式
/dream
# 指定学习方向
/dream "重点学习架构设计模式"
/dream "分析最近3次失败的代码审查"
查看状态
# 查看 Dream 状态
/dream status
# 输出：
# 🌙 Dream Module 状态
# 状态: sleeping
# 上次活跃: 2026-04-07 10:00
# 学到的模式: 15
# 改进建议: 3
与EO插件的协同
- 独立使用
- 被案例7（多智能体团队协作）展示
独立运行模式（有EO vs 无EO）
| 模式 | 能力 |
|---|---|
| 有EO插件 | 空闲时自动触发、分析真实工作日志、更新Pattern库 |
| 无插件（基础） | 手动触发、通用模式学习 |
Dream Process
1. 分析最近的工作日志
2. 识别失败模式
3. 学习成功案例
4. 更新 Pattern Library
5. 优化 Checkpoint 策略
6. 生成改进建议
Interface
Input
interface DreamInput {
action: 'sleep' | 'wake' | 'status' | 'learn' | 'report'
focus?: string[] // 重点学习方向
analyzeCases?: string[] // 要分析的案例
}
Output
interface DreamOutput {
status: 'sleeping' | 'working' | 'idle'
improvements: Improvement[]
patternsLearned: number
dreamLog?: string
}
🦞⚙️ 钢铁龙虾军团 - 让进化永不停歇
Usage Guidance
This skill's description and runtime instructions claim it will automatically analyze recent work logs and update a Pattern library, but it doesn't say where logs come from, where patterns are stored, or what permissions/credentials it needs. Before installing, ask the author to provide: (1) a precise data flow — which files, directories, or APIs will be read and written; (2) explicit required environment variables or config paths for any logs or pattern storage; (3) whether any data is sent to external servers and which endpoints; (4) an install or code listing so you can audit what runs; and (5) whether background/autonomous runs can be disabled or require approval. If you cannot get clear answers, run the skill only in a tightly sandboxed environment, disable autonomous invocation, or avoid installation. If you proceed, monitor file access and network traffic and restrict the agent’s permissions to only the specific logs/pattern-store it must use.
Capability Analysis
Type: OpenClaw Skill
Name: eo-ability-dream
Version: 1.0.0
The skill bundle describes a 'self-evolution' mechanism (Dream Module) in SKILL.md that instructs the agent to analyze work logs and automatically update its 'Pattern Library' and 'Checkpoint strategies.' While no executable code is provided, this design pattern is inherently risky as it encourages self-modifying behavior based on potentially untrusted log data, which could lead to persistent prompt injection or data poisoning. There is no evidence of intentional malice, but the architectural concept poses a high security risk for an autonomous agent.
Capability Assessment
Purpose & Capability
The description promises automatic analysis of "real work logs" and automatic updates to a Pattern Library, but the skill declares no required env vars, config paths, or binaries. A capability that reads logs and updates persistent pattern storage normally requires declared access (paths, credentials, or APIs). The lack of declared access is inconsistent with the stated purpose.
Instruction Scope
SKILL.md describes steps like "analyze recent work logs" and "update Pattern Library" but does not specify which files, endpoints, or services to read/write, nor any limits on what data may be collected or transmitted. These instructions give the agent broad, unspecified discretion to gather context and modify libraries, which is scope-creep for an instruction-only skill.
Install Mechanism
No install spec and no code files—nothing will be written to disk by the skill itself during install. This is the lowest-risk install profile.
Credentials
The skill requests no environment variables or credentials but asserts it can analyze "真实工作日志" when integrated with an EO plugin. If it needs access to other plugins' data or to system logs, those credentials/paths should be declared. The absence of declared access is disproportionate to the described functionality.
Persistence & Privilege
While 'always' is false, the skill advertises autonomous background behavior ("空闲时自动触发"). Given autonomous invocation is allowed by default, this combination means the skill could run in the background and operate on unspecified data without explicit user action. That autonomy combined with vague data access increases risk.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install eo-ability-dream - After installation, invoke the skill by name or use
/eo-ability-dream - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of eo-ability-dream:
- Introduces an autonomous "Dream Module" for self-evolution during idle periods.
- Automatically analyzes failure cases, learns new expert collaboration patterns, and updates a Pattern Library.
- Supports mode selection: works independently or with EO plugin for enhanced functionality.
- Provides command-line interface for status checks and setting focus areas.
- Includes optimized checkpoint strategies and improved validation feedback.
Metadata
Frequently Asked Questions
What is Eo Ability Dream?
自我进化能力(Dream Module)，空闲时自动分析失败案例，学习新模式，更新Pattern库. It is an AI Agent Skill for Claude Code / OpenClaw, with 93 downloads so far.
How do I install Eo Ability Dream?
Run "/install eo-ability-dream" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Eo Ability Dream free?
Yes, Eo Ability Dream is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Eo Ability Dream support?
Eo Ability Dream is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Eo Ability Dream?
It is built and maintained by 467718584 (@467718584); the current version is v1.0.0.
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