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muguozi1

Muguozi1 Openclaw Proactive Agent Lite

by muguozi1 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
251
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0
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2
Active Installs
1
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Install in OpenClaw
/install muguozi1-openclaw-proactive-agent-lite
Description
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Usage Guidance
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.
Capability Analysis
Type: OpenClaw Skill Name: muguozi1-openclaw-proactive-agent-lite Version: 1.0.0 The skill bundle appears to be a placeholder or template for a 'proactive agent' capability and contains no functional code or harmful instructions. The Python scripts (scripts/examples.py and scripts/test.py) consist entirely of empty functions and print statements, while the documentation (SKILL.md, OPTIMIZATION.md) uses generic marketing language and 'Karpathy minimalism' branding without implementing any actual logic. There are no indicators of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install muguozi1-openclaw-proactive-agent-lite
  3. After installation, invoke the skill by name or use /muguozi1-openclaw-proactive-agent-lite
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
proactive-agent-lite 1.0.0 initial release - Introduces core proactive agent capabilities, including memory architecture, reverse prompting, self-healing, and alignment systems. - Lightweight design for easy integration with all OpenClaw agents. - Focuses on proactive behavior: anticipates needs, suggests solutions, and recovers from errors automatically. - Security hardening with safe defaults and built-in alignment to core objectives. - Customizable proactive behavior through configuration parameters.
Metadata
Slug muguozi1-openclaw-proactive-agent-lite
Version 1.0.0
License MIT-0
All-time Installs 2
Active Installs 2
Total Versions 1
Frequently Asked Questions

What is 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... It is an AI Agent Skill for Claude Code / OpenClaw, with 251 downloads so far.

How do I install Muguozi1 Openclaw Proactive Agent Lite?

Run "/install muguozi1-openclaw-proactive-agent-lite" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Muguozi1 Openclaw Proactive Agent Lite free?

Yes, Muguozi1 Openclaw Proactive Agent Lite is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Muguozi1 Openclaw Proactive Agent Lite support?

Muguozi1 Openclaw Proactive Agent Lite is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Muguozi1 Openclaw Proactive Agent Lite?

It is built and maintained by muguozi1 (@muguozi1); the current version is v1.0.0.

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