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Self-Improving Agent
作者
amdf01-debug
· GitHub ↗
· v1.0.0
· MIT-0
306
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install sw-self-improving-agent
功能描述
Build agents that learn from user corrections by updating and following dated rules to improve performance and reduce repeated mistakes over time.
安全使用建议
Before installing, consider that this skill will create and maintain RULES.md and modify AGENTS.md in the agent's workspace and expects the agent to read project folders and check calendars. Ask where RULES.md will be stored and who can read it; ensure file permissions and retention policies are appropriate. Require sanitization rules (strip PII or secrets) before logging corrections. If the agent will access calendars or send emails, only enable those integrations with explicit credentials and review what data it may read. Prefer running this skill in an isolated/test workspace first, or require explicit user confirmation before any automatic writes or background scans. If you need stronger guarantees, request the author add: explicit config for storage location, an allowlist of folders the skill may access, a sanitization policy for logged corrections, and a clear declaration of any external services or credentials it needs.
能力评估
Purpose & Capability
The name/description match the SKILL.md: it aims to log corrections and evolve a RULES.md operating manual. However, the guidance expects the agent to consult a 'projects/' folder and check a calendar before suggesting times — capabilities that go beyond the stated, self-contained 'rules' purpose and are not declared as required resources.
Instruction Scope
SKILL.md directs the agent to create, read, update, and silently scan RULES.md and to modify AGENTS.md. It also tells the agent to check calendar data and include status from a projects/ folder when referencing projects. Those are file-system and external-service actions (and could capture user corrections that contain sensitive data). The instructions use the word 'silently' for periodic scans, which grants the agent ongoing, background discretion to read/write without explicit user prompts.
Install Mechanism
This is an instruction-only skill with no install spec and no code files — low installation risk. Nothing is downloaded or written by a package installer.
Credentials
The skill declares no required env vars or config paths, yet it implies access to calendars, project folders, and email workflows. That mismatch means the skill expects capabilities (read/write workspace files, access to calendar/email) but doesn't declare them, so it's unclear what credentials or filesystem access will be used.
Persistence & Privilege
While always:false, the instructions explicitly require persistent behavior: log every correction, scan RULES.md every ~10 interactions, and automatically update AGENTS.md. That grants ongoing write/read persistence in the agent environment and could produce long-lived files containing user corrections (which may include sensitive info).
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 sw-self-improving-agent - 安装完成后,直接呼叫该 Skill 的名称或使用
/sw-self-improving-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
Initial release
元数据
常见问题
Self-Improving Agent 是什么?
Build agents that learn from user corrections by updating and following dated rules to improve performance and reduce repeated mistakes over time. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 306 次。
如何安装 Self-Improving Agent?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install sw-self-improving-agent」即可一键安装,无需额外配置。
Self-Improving Agent 是免费的吗?
是的,Self-Improving Agent 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Self-Improving Agent 支持哪些平台?
Self-Improving 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 Self-Improving Agent?
由 amdf01-debug(@amdf01-debug)开发并维护,当前版本 v1.0.0。
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