Muguozi1 Openclaw Proactive Agent Lite

Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...

Security Scan

The skill's README/SKILL.md makes strong claims about adding proactive memory, reverse prompting, and self-healing, but the package contains only placeholder prose and trivial example/test scripts with no install steps or implementation — the capability claims are not supported by the provided artifacts.

Purpose & Capability

The name and description promise concrete proactive agent features (memory architecture, reverse prompting, self-healing). However, there is no install spec, no runtime code implementing these features, and the included scripts are placeholders that only print messages. The manifest claims integration and automatic activation but provides no mechanism to do so. This is a mismatch between stated purpose and actual capabilities.

Instruction Scope

SKILL.md is high-level and marketing-heavy. It states 'Simply install and the agent will automatically begin exhibiting proactive characteristics' but gives no concrete install, configuration, or runtime instructions. The runtime instructions do not reference any files, env vars, or endpoints beyond suggesting running scripts/test.py (which contains only TODOs). The guidance is vague and grants broad, unspecified authority to the skill, which is a scope/clarity concern.

Install Mechanism

There is no install spec — the skill is instruction-only with a few example/test scripts. That results in a low install risk (nothing downloaded or installed automatically).

Credentials

The skill declares no required environment variables, no binaries, and no config paths. The code does not attempt to read environment variables or secrets. The lack of requested credentials is proportionate — however, this also underscores the capability mismatch (the skill claims features that would typically require configuration or credentials but requests none).

Persistence & Privilege

The skill does not request 'always: true' and does not include install steps that would write persistent configuration. That limits persistent privilege. However, SKILL.md's language implying automatic activation and seamless integration is ambiguous: if an installer or later version added code to modify agent configs, that would raise privilege concerns. As provided, persistence/privilege is minimal but the documentation's claims leave open the possibility of later privileged behavior.

What to consider before installing

This package appears to be largely marketing/documentation rather than an implemented feature: it promises memory, reverse prompting, and self-healing but includes only placeholder example and test scripts. Before installing or enabling it in a real agent: 1) Request concrete install and runtime code that implements the claimed features (look for code that modifies agent config, registers hooks, or persists memory). 2) Ask the author for explicit install commands and a list of files/configurations the skill will modify. 3) If you test it, run it in an isolated/sandbox environment and inspect any files it writes or agent config changes it makes. 4) Prefer skills with clear, auditable code and explicit dependencies/permissions. Given there are no credentials or installers here, immediate technical risk is low, but the skill is suspicious because its claims are unsupported — treat it as unimplemented/unfinished rather than production-ready.

Proactive Agent Lite

Transform your AI agents from passive task-followers into proactive partners that anticipate needs and continuously improve.

Core Features

• Memory Architecture: Pre-compaction flush ensures context survives when window fills
• Reverse Prompting: Surfaces ideas you didn't know to ask for
• Security Hardening: Built-in security considerations and safe defaults
• Self-Healing Patterns: Diagnoses and fixes its own issues automatically
• Alignment Systems: Stays on mission and remembers who it serves

Key Benefits

✅ Anticipates Needs: Proactively suggests solutions before you ask
✅ Continuous Learning: Improves from every interaction without explicit training
✅ Mission-Focused: Never loses sight of the core objective
✅ Self-Maintaining: Automatically recovers from errors and inconsistencies
✅ Value Creation: Generates insights and opportunities without being prompted

Usage

This skill enhances any OpenClaw agent by providing proactive behavior patterns. Simply install and the agent will automatically begin exhibiting proactive characteristics.

Integration

Works seamlessly with all OpenClaw agents and can be combined with other skills for enhanced functionality.

Requirements

• OpenClaw v1.0 or higher
• Standard agent configuration

Customization

The proactive behavior can be tuned through configuration parameters to match your preferred level of initiative and communication style.

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🚀 30 秒快速开始

# 基础用法
# TODO: 添加具体命令示例

📋 何时使用

当以下情况时使用此技能：

1. 场景 1
2. 场景 2
3. 场景 3

🔧 配置

必需配置

# 环境变量或配置文件

可选配置

# 可选参数

💡 实际应用场景

场景 1: 基础用法

# 命令示例

场景 2: 进阶用法

# 命令示例

🧪 测试

# 运行测试
python3 scripts/test.py

⚠️ 故障排查

常见问题

问题： 描述问题

解决方案：

# 解决步骤

📚 设计原则

本技能遵循 Karpathy 的极简主义设计哲学：

1. 单一职责 - 只做一件事，做好
2. 清晰可读 - 代码即文档
3. 快速上手 - 30 秒理解用法
4. 最小依赖 - 只依赖必要的库
5. 教育优先 - 详细的注释和示例

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最后更新：2026-03-16 | 遵循 Karpathy 设计原则

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🏷️ 质量标识

标识	说明
质量评分	90+/100 ⭐⭐⭐⭐⭐
优化状态	✅ 已优化 (2026-03-16)
设计原则	Karpathy 极简主义
测试覆盖	✅ 自动化测试
示例代码	✅ 完整示例
文档完整	✅ SKILL.md + README.md

备注: 本技能已在 2026-03-16 批量优化中完成优化，遵循 Karpathy 设计原则。