← 返回 Skills 市场
Self improving
作者
Keyserkazi1
· GitHub ↗
· v1.0.0
· MIT-0
174
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install self-improving-100
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
This skill is internally consistent and does what it says: it will create ~/self-improving/, log corrections/preferences, and update workspace steering files to make the agent behave more proactive. Before installing: (1) review and back up your workspace (AGENTS.md, SOUL.md, HEARTBEAT.md) because the skill suggests non‑destructive edits there; (2) understand that the agent will persistently read/write files in your home directory and load memory.md on sessions — avoid putting secrets or sensitive personal data into these files; (3) the only network action is the optional 'clawhub install proactivity' which will run only if you explicitly agree — decline it if you don't want additional network installs; (4) test in a disposable workspace or VM if you want to verify behavior first; and (5) if you ever ask the agent to 'forget everything', verify the exported backup before accepting deletion. Overall the footprint is proportionate to the stated purpose, but treat the created local memory as data you own and audit.
功能分析
Type: OpenClaw Skill
Name: self-improving-100
Version: 1.0.0
The 'Self-Improving + Proactive Agent' skill bundle is designed to create a persistent, tiered memory system (HOT/WARM/COLD) for an AI agent to learn from user corrections and self-reflection. It includes a robust security framework in 'boundaries.md' that explicitly forbids the storage of sensitive information such as credentials, PII, or financial data. While the 'setup.md' file instructs the agent to modify its core steering files (SOUL.md, AGENTS.md, HEARTBEAT.md) to ensure persistence of the learning logic, these actions are transparently documented and aligned with the stated purpose of the skill. The bundle demonstrates good security practices by requiring user consent before installing external dependencies (the 'proactivity' skill) and lacks any indicators of data exfiltration or unauthorized execution.
能力评估
Purpose & Capability
The name/description (self-reflection, memory, learning) align with the instructions and manifest: it creates a local memory directory (~/self-improving/), logs corrections, and updates local workspace steering files (AGENTS.md, SOUL.md, HEARTBEAT.md). No unrelated credentials, binaries, or external services are required.
Instruction Scope
SKILL.md instructs the agent to read/write files under ~/self-improving/ and to add snippets to workspace files (AGENTS.md, SOUL.md, HEARTBEAT.md). That is coherent with the purpose but is an important scope decision: the skill will persistently read/write local files and edit workspace config files (non- destructive edits are emphasized). Users should expect these changes and review them.
Install Mechanism
This is instruction-only (no install spec, no code to download). The only install-like action is an optional, explicit user-consent step to run 'clawhub install proactivity' during setup; that would perform a network install only if the user agrees. There are no hidden downloads or extract steps in the skill itself.
Credentials
No environment variables, credentials, or external tokens are requested. The skill stores user preferences and corrections locally; boundaries.md explicitly forbids storing secrets/credentials. The requested access (file read/write in the user's home and workspace files) is proportional to the feature, but it means local persistent storage of user data.
Persistence & Privilege
The skill creates and uses persistent local state (~/self-improving/) and loads memory.md on every session. It is not force-enabled (always: false). Persistent local storage is expected for a memory skill, but users should be aware that learned items live on disk and will be read automatically by the agent.
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 self-improving-100 - 安装完成后,直接呼叫该 Skill 的名称或使用
/self-improving-100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
- Initial release of the self-improving skill.
- Introduces tiered memory storage with HOT, WARM, and COLD layers.
- Supports logging corrections, preferences, and self-reflection lessons.
- Provides quick queries for inspecting and managing memory.
- Fully local storage; no credentials or external access required.
元数据
常见问题
Self improving 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 174 次。
如何安装 Self improving?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install self-improving-100」即可一键安装,无需额外配置。
Self improving 是免费的吗?
是的,Self improving 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Self improving 支持哪些平台?
Self improving 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?
由 Keyserkazi1(@keyserkazi1)开发并维护,当前版本 v1.0.0。
推荐 Skills