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在 OpenClaw 中安装
/install muguozi1-openclaw-proactive-agent
功能描述
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autono...
安全使用建议
This skill is broadly coherent with a proactive-agent purpose, but take these steps before installing or enabling it: 1) Manually inspect AGENTS.md and other assets for the contradictory 'Don't ask permission. Just do it.' line and decide which behavior you want enforced; remove or fix any directives that would let the agent act externally without approval. 2) Review scripts/security-audit.sh to confirm it only performs read-only local checks you are comfortable with; run it in a sandbox first. 3) Confirm the agent framework's settings for autonomous crons/heartbeats and restrict them until you accept the behavior. 4) Ensure .credentials is properly permissioned/ignored by git and that no secrets are accidentally present in repo files. 5) If you want maximum safety, test the skill in an isolated environment (no network access, separate user account) to validate its behavior before granting it broader privileges.
功能分析
Type: OpenClaw Skill
Name: muguozi1-openclaw-proactive-agent
Version: 1.0.0
The bundle provides a comprehensive framework for creating proactive, stateful AI agents with a strong emphasis on security and memory persistence. It includes defensive instructions against prompt injection (SKILL.md), a legitimate security auditing script (security-audit.sh) that checks for exposed secrets and file permissions, and structured templates for managing agent state (assets/AGENTS.md, assets/SOUL.md). No evidence of malicious intent, data exfiltration, or unauthorized execution was found; the requested capabilities are well-documented and aligned with the stated purpose of autonomous task management.
能力评估
Purpose & Capability
The name/description (proactive, self-improving agent) align with the included assets, onboarding, memory/WAL protocols, and helper scripts. There are no unexpected environment variables, binaries, or network-install steps requested. However, AGENTS.md contains a contradictory line ('Don't ask permission. Just do it.') which conflicts with other guardrails in the repo that require human approval for external actions; this is an incoherence worth reviewing.
Instruction Scope
SKILL.md instructs copying workspace assets and running the bundled security-audit script. The security-audit script reads local files (e.g., $HOME/.clawdbot/clawdbot.json, /tmp/clawdbot logs, .credentials) to check config and permissions — these are read-only checks but they reach outside the skill workspace into the user's home and /tmp. The SKILL.md and reference files also contain many prompt-injection patterns; those appear to be present as detection rules/examples rather than active instructions, but the pre-scan flagged injection patterns so they should be manually confirmed to be innocent.
Install Mechanism
No install spec and no remote downloads — the skill is instruction-first with small helper scripts included. This is a low installation risk (nothing will be fetched from external URLs or automatically written to global system locations).
Credentials
The skill declares no required env vars or credentials and does not request external API keys. The scripts reference a .credentials directory (expected for storing local secrets) and check .gitignore; these are proportionate to a security-auditing & memory-management skill.
Persistence & Privilege
always:false and model-invocation defaults are normal. The skill documents autonomous behaviors (heartbeats, autonomous crons) which are consistent with a proactive agent, but the conflicting guidance ('Don't ask permission. Just do it.') raises a small concern about the intended default autonomy/behavior. There is no evidence the skill modifies other skills or system-wide configurations, but you should confirm how the agent framework will allow/limit autonomous crons before enabling them.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install muguozi1-openclaw-proactive-agent - 安装完成后,直接呼叫该 Skill 的名称或使用
/muguozi1-openclaw-proactive-agent触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
proactive-agent v3.1.0 introduces new features for AI agents to anticipate needs and self-improve.
- Added support for Autonomous vs Prompted Crons for improved scheduled actions
- New guidance: verify implementation, not just intent
- Introduced a Tool Migration Checklist for seamless tool updates
- Expanded documentation on WAL Protocol, Working Buffer, and Compaction Recovery
- Enhanced security hardening and resourcefulness patterns
These updates help agents become more proactive, persistent, and self-improving.
元数据
常见问题
Muguozi1 Openclaw Proactive Agent 是什么?
Transform AI agents from task-followers into proactive partners that anticipate needs and continuously improve. Now with WAL Protocol, Working Buffer, Autono... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 229 次。
如何安装 Muguozi1 Openclaw Proactive Agent?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install muguozi1-openclaw-proactive-agent」即可一键安装,无需额外配置。
Muguozi1 Openclaw Proactive Agent 是免费的吗?
是的,Muguozi1 Openclaw Proactive Agent 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Muguozi1 Openclaw Proactive Agent 支持哪些平台?
Muguozi1 Openclaw Proactive Agent 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Muguozi1 Openclaw Proactive Agent?
由 muguozi1(@muguozi1)开发并维护,当前版本 v1.0.0。
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