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Self-Improving + Proactive Agent

作者 Iván · GitHub ↗ · v1.2.16 · MIT-0
linuxdarwinwin32 ✓ 安全检测通过
200423
总下载
1218
收藏
2231
当前安装
22
版本数
在 OpenClaw 中安装
/install self-improving
功能描述
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
安全使用建议
Install only if you want the agent to keep cross-session local memory about your corrections, preferences, and workflow patterns. Review ~/self-improving/ periodically, avoid storing secrets or sensitive personal data, use strict/passive mode if you want more confirmation, and review the separate Proactivity skill before approving its optional installation.
功能分析
Type: OpenClaw Skill Name: self-improving Version: 1.2.16 The skill implements a structured, tiered memory system designed to help the agent learn from user corrections and self-reflection. It manages local files in `~/self-improving/` and includes a robust 'Security Boundaries' document (`boundaries.md`) that explicitly forbids storing credentials, financial data, or PII. While the setup process involves modifying core workspace configuration files like `SOUL.md` and `AGENTS.md` to establish persistence and steering, these actions are transparently documented and strictly aligned with the stated purpose of improving agent performance over time.
能力评估
Purpose & Capability
The stated purpose is persistent self-improvement through corrections, reflections, and preferences, which matches the local memory files, learning rules, and heartbeat maintenance artifacts.
Instruction Scope
The skill has broad learning triggers and automatic logging, but it also limits learning to corrections/repeated patterns, forbids sensitive categories, requires confirmation for permanent rules, and exposes audit/forget/export commands.
Install Mechanism
Setup creates files under ~/self-improving/ and may edit AGENTS.md, SOUL.md, and HEARTBEAT.md; those paths are disclosed, and the optional Proactivity skill install is explicitly gated on user agreement.
Credentials
No credentials, elevated privileges, required binaries, or default network calls are requested; file access is scoped to the self-improving directory plus disclosed workspace steering files during setup.
Persistence & Privilege
Persistent local memory and heartbeat state are central to the skill and clearly described; users should review the stored contents because they can influence later agent behavior.
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 self-improving
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /self-improving 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
v1.2.16
Clarifies the setup flow for proactive follow-through and safer installation behavior.
v1.2.15
Improves the setup flow for stronger follow-through and execution quality.
v1.2.14
Updated the title to better highlight proactive self-improvement.
v1.2.13
Aligns heartbeat installation with the standard workspace setup so recurring maintenance is added alongside the existing self-improving routing.
v1.2.12
Refined the description to make the activation trigger more explicit.
v1.2.11
Refined the title and description to clarify proactive self-improvement triggers.
v1.2.10
Sharper setup now lists relevant memory before non-trivial work, with a title that highlights proactive self-reflection.
v1.2.9
Refined AGENTS.md memory-routing wording for clarity while preserving behavior.
v1.2.8
Refined AGENTS.md patch guidance to route corrections and lessons to self-improving by default, with AGENTS/TOOLS only for global rules.
v1.2.7
Added non-destructive AGENTS.md memory routing guidance to reinforce factual vs self-improving storage.
v1.2.6
Added a SOUL.md setup snippet to reinforce pre-task review and post-response learning compounding.
v1.2.5
Restored self-learning and self-organizing memory description while keeping setup behavior unchanged.
v1.2.4
Setup now triggers only when memory storage is missing, keeping activation flow cleaner.
v1.2.3
Turned self-improving into a true always-on loop: pre-task activation, post-response reflection, and tighter continuous learning behavior.
v1.2.2
Turned self-improving into a true always-on loop: pre-task activation, post-response reflection, and tighter continuous learning behavior.
v1.2.1
Clarified the core promise to highlight auto-learning from corrections and self-organizing memory for continuous improvement.
v1.1.3
Fixed skill title display.
v1.1.2
- Added EXTRA_FILES.txt to the project. - No changes to functionality or user-visible features.
v1.1.1
Added self-reflection capability — agent now evaluates its own work, not just user corrections.
v1.2.0
Added self-reflection loop, experience-based learning, and visual workflow diagram.
元数据
Slug self-improving
版本 1.2.16
许可证 MIT-0
累计安装 7204
当前安装数 2231
历史版本数 22
常见问题

Self-Improving + Proactive Agent 是什么?

Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 200423 次。

如何安装 Self-Improving + Proactive Agent?

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

Self-Improving + Proactive Agent 是免费的吗?

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

Self-Improving + Proactive Agent 支持哪些平台?

Self-Improving + Proactive Agent 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(linux, darwin, win32)。

谁开发了 Self-Improving + Proactive Agent?

由 Iván(@ivangdavila)开发并维护,当前版本 v1.2.16。

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