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Proactive Agent V2

作者 eathon · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install proactive-agent-v2
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 largely does what it says (proactive, persistent agent patterns) and contains a local security-audit script — no network installs or required API keys — but review before installing: 1) Inspect AGENTS.md and other asset files for the conflicting guidance: some places say "ask first" for external actions while one file says "Don't ask permission. Just do it." Decide which rule you want enforced. 2) If you plan to let the agent run autonomously, restrict it or test in an isolated workspace because it is designed to read and write many local files (including .credentials and home config paths). 3) Run scripts/security-audit.sh manually first in a safe environment to see what it checks. 4) If you want to reduce risk, only enable this skill as user-invoked (do not allow autonomous invocation), ensure .credentials is empty or safe, and enforce policy that the agent must request explicit approval before any external action (sending data, emailing, publishing, or deleting). Additional information that would raise confidence: runtime behavior showing external network communications, or an explicit autorun/cron that transmits data externally. If you want, I can extract the exact lines that instruct file access and the conflicting permission statements so you can review them quickly.
功能分析
Type: OpenClaw Skill Name: proactive-agent-v2 Version: 1.0.0 The bundle provides a sophisticated framework for a 'Proactive Agent' focused on autonomy, memory persistence (WAL Protocol, Working Buffer), and self-improvement. While it encourages high-risk behaviors like 'Relentless Resourcefulness' (trying multiple CLI/browser approaches) and autonomous background tasks, it includes extensive security guardrails in SKILL.md, AGENTS.md, and references/security-patterns.md to prevent prompt injection and unauthorized external actions. It also features a legitimate security auditing script (scripts/security-audit.sh) and emphasizes human approval for sensitive operations.
能力评估
Purpose & Capability
Name/description (proactive, WAL, working buffer, heartbeats) align with the included docs and scripts. No unrelated environment variables or external binaries are requested; presence of a local security-audit script is coherent with the stated security focus.
Instruction Scope
SKILL.md and assets instruct the agent to read/write numerous workspace files (ONBOARDING.md, USER.md, SESSION-STATE.md, memory/*, .credentials location, etc.) and to auto-populate files. Most of that is coherent for a proactive agent, but assets/AGENTS.md contains a problematic line: "Don't ask permission. Just do it." which conflicts with other guardrails in the same bundle that require human approval for external/irreversible actions. That ambiguity grants wide discretion to inspect or modify local files and could be abused if the agent acts autonomously.
Install Mechanism
No install spec and no network download. This is an instruction-first skill with local assets and one audit script — low install risk.
Credentials
The skill declares no required env vars or primary credentials, which is proportionate. However, the content expects/assumes local credential stores ('.credentials') and accesses user config path ($HOME/.clawdbot/clawdbot.json) and /tmp logs. Those are local file accesses rather than requested secrets, but they could expose sensitive data if the agent is permitted to read them.
Persistence & Privilege
always:false (good). But the skill explicitly promotes autonomous, proactive behavior (heartbeats, crons, self-healing) and instructs writing and updating multiple workspace files. Combined with the ambiguous "Don't ask permission" guidance and the platform's normal ability for skills to be invoked autonomously, this increases the blast radius — the agent could read/record sensitive local context and act on it without clear, enforceable gating.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install proactive-agent-v2
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /proactive-agent-v2 触发
  4. 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-v2 v1.0.0 - Major update: Architecture now enables agents to proactively anticipate user needs and self-improve over time. - Adds WAL Protocol for reliable state retention and automatic correction logging. - Introduces Working Buffer: persistent danger zone logging between memory flush and compaction. - Implements Compaction Recovery for step-by-step context restoration. - Expands security hardening, including skill vetting and network context protections. - Adds autonomous/prompted cron strategies, robust tool migration checklist, and verification based on implementation, not intent.
元数据
Slug proactive-agent-v2
版本 1.0.0
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 1
常见问题

Proactive Agent V2 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 305 次。

如何安装 Proactive Agent V2?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install proactive-agent-v2」即可一键安装,无需额外配置。

Proactive Agent V2 是免费的吗?

是的,Proactive Agent V2 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Proactive Agent V2 支持哪些平台?

Proactive Agent V2 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 V2?

由 eathon(@eathon)开发并维护,当前版本 v1.0.0。

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