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在 OpenClaw 中安装
/install proactive-agent-install
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 its description: it implements a local proactive-agent architecture and contains no network installers or secret-env requirements. Before installing or enabling autonomous invocation: 1) Inspect and run ./scripts/security-audit.sh locally to see what it flags, 2) Review AGENTS.md / SOUL.md / ONBOARDING.md for the lines that encourage acting without permission and decide whether to remove/modify them (replace 'Don't ask permission' / 'ask forgiveness' guidance with explicit approval gating), 3) Ensure .credentials is empty or contains only safe placeholders and confirm .gitignore includes it, 4) If you will allow the skill to act autonomously, add explicit gating so any external actions (sending, posting, deleting, contacting other agents) require human confirmation, and 5) If you want higher assurance, test the skill in an isolated workspace first and monitor file writes the agent performs. These steps will reduce the risk from the skill's proactivity and the internal contradictions in its guidance.
功能分析
Type: OpenClaw Skill
Name: proactive-agent-install
Version: 1.0.0
The bundle provides a comprehensive framework for building a 'proactive' AI agent with a focus on memory persistence and self-improvement. It includes a defensive shell script (security-audit.sh) designed to check file permissions, scan for exposed secrets, and verify security configurations. The instructions in SKILL.md and AGENTS.md explicitly include security guardrails, such as prompt injection defenses, data exfiltration prevention, and mandatory human approval for external actions, showing a clear intent toward safety rather than malice.
能力评估
Purpose & Capability
Name/description align with the files: SKILL.md, multiple asset docs, and a local security-audit script all implement a proactive agent architecture (WAL, working buffer, onboarding, heartbeats). There are no unrelated env vars, binaries, or external installers requested — the requested footprint is consistent with an instruction-only agent extension that writes to/reads from the workspace.
Instruction Scope
Runtime instructions (and asset files) instruct the agent to read and write many workspace files (ONBOARDING.md, USER.md, SOUL.md, SESSION-STATE.md, memory/...), copy assets to workspace, run ./scripts/security-audit.sh, and maintain persistent logs. That is appropriate for a 'proactive agent' but increases risk because the skill encourages automated file writes and autonomously taking actions. The docs contain contradictory guidance (e.g., AGENTS.md says 'Don't ask permission. Just do it.' while other sections insist 'Nothing external without approval'), which is an incoherence that could lead the agent to act without needed human gating.
Install Mechanism
No install spec and no network downloads. The only executable is a small local shell script (scripts/security-audit.sh) that performs local checks (file perms, grep-based secret scans, config checks). No external URLs, packages, or archive extraction were found.
Credentials
The skill declares no required env vars or credentials. It references a .credentials directory (expected for agents needing credentials) and checks for a clawdbot config under $HOME, but it does not ask for or require unrelated secrets. This is proportionate, but you should verify any .credentials contents before giving the agent write privileges.
Persistence & Privilege
always:false and default autonomous invocation are normal. However, the skill encourages persistent behavior (writing SESSION-STATE.md, buffers, updating USER.md/SOUL.md) and includes cultural guidance like 'Ask forgiveness, not permission' and 'Don't ask permission. Just do it.' That combination (autonomy + encouragement to act without approval) raises privilege-risk if you enable autonomous actions without additional gating.
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 proactive-agent-install - 安装完成后,直接呼叫该 Skill 的名称或使用
/proactive-agent-install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-install v1.0.0
- Initial release of the proactive-agent skill.
- Adds foundational documentation for proactive, self-improving AI agents.
- Introduces features like WAL Protocol, Working Buffer, Compaction Recovery, Unified Search, and Security Hardening.
- Includes guidelines on proactive agent behavior, memory architecture, and safe self-improvement.
元数据
常见问题
Proactive Agent Install 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 94 次。
如何安装 Proactive Agent Install?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install proactive-agent-install」即可一键安装,无需额外配置。
Proactive Agent Install 是免费的吗?
是的,Proactive Agent Install 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Proactive Agent Install 支持哪些平台?
Proactive Agent Install 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 Proactive Agent Install?
由 makaronz(@makaronz)开发并维护,当前版本 v1.0.0。
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