Overview
- Skill Key
- fofo365/openclaw-self-analyzer
- Author
- fofo365
- Source Repo
- openclaw/skills
- Version
- -
- Source Path
- skills/fofo365/openclaw-self-analyzer
- Latest Commit SHA
- afddbd43da1e28d32bfaf313de7d42c4156fc6c5
Official OpenClaw
rules
15%
Openclaw Self Analyzer
OpenClaw Self Analyzer 自分析工具
Stars
0
Installs
0
Status
ACTIVE
Visibility
PUBLIC
安装方式
直接复制以下提示词，发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店，若未安装，请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店，然后安装 Openclaw Self Analyzer 技能。 若已安装，则直接安装 Openclaw Self Analyzer 技能。
Extracted Content
SKILL.md excerpt
# OpenClaw Self Analyzer - 自分析工具
深度分析OpenClaw架构，自动生成钩子和扩展。
## 功能
- 架构分析
- 钩子点检测
- 自动生成钩子
- 代码扫描
- 报告生成
## 使用
### 完整分析
```bash
cd /root/.openclaw/workspace/skills/openclaw-self-analyzer
python3 core/architecture_analyzer.py
```
### 生成钩子
```python
from generators.hook_generator import HookGenerator
generator = HookGenerator()
hook = generator.generate_hook_package(
hook_name='my_hook',
hook_type='pre',
stage='context_gather',
logic='// your logic'
)
```
### 生成报告
```python
from reporters.report_generator import ReportGenerator
generator = ReportGenerator()
files = generator.save_reports(Path('./reports'))
```
## 架构映射
OpenClaw处理流水线:
1. **input_receive** - 接收用户输入
2. **context_gather** - 收集历史上下文
3. **memory_retrieve** - 检索记忆
4. **prompt_assemble** - 组装prompt
5. **token_check** - token检查
6. **context_compress** - 上下文压缩
7. **llm_submit** - 提交给LLM
8. **response_process** - 处理响应
9. **memory_store** - 存储新记忆
每个阶段支持三种钩子:
- **pre** - 前置处理
- **post** - 后置处理
- **replace** - 完全替换
Copyright © 2025-2026 Edison Wang (fofo365/edisonw@163.com) Authors. All Rights Reserved.
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