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Self-Improving OpenClaw
作者
muhamadbasim
· GitHub ↗
· v1.0.0
· MIT-0
101
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install self-improving-openclaw
功能描述
Log corrections, errors, feature requests, and recurring patterns into structured workspace learning files, then promote stable patterns into tiered memory a...
安全使用建议
This skill appears internally consistent and implements a local learning loop that reads and appends to workspace files; the included init script only creates folders and copies templates. Before installing, consider: (1) Run the init script in a test workspace to see exactly what files are created; (2) Back up SOUL.md / AGENTS.md / TOOLS.md / MEMORY.md if you don't want automatic appends; (3) Decide whether you want the agent to autonomously promote learnings — if not, avoid enabling autonomous invocation or require explicit confirmation for promotions; (4) Remember that redaction guidance is advisory (the agent must follow it): confirm by inspecting logs that secrets are not being written; (5) Review promotion/demotion rules in references/promotion-rules.md to ensure they match your expectations. If you want stronger safety, require manual review of REVIEW_QUEUE.md before any promotions are applied.
能力评估
Purpose & Capability
Name/description (self-improving/learning loop) match the content: files and instructions all relate to logging, reviewing, promoting, and maintaining workspace memory. There are no unrelated environment vars, binaries, or external services requested.
Instruction Scope
SKILL.md tells the agent to read/write specific local workspace files (.learnings/, .self-improving/) and to append/promote entries into workspace files (SOUL.md, AGENTS.md, TOOLS.md, MEMORY.md). All referenced paths are within the workspace and the guidance includes explicit safety rules (never store credentials, redact secrets, require private/local sessions). It does not instruct reading arbitrary system files or sending data externally.
Install Mechanism
No install spec; instruction-only skill plus a tiny init script (scripts/init-workspace.sh) that safely creates directories and copies bundled template files if they don't exist. The script is idempotent and does not download or execute remote code.
Credentials
Requires no environment variables or credentials. The skill's behavior (logging and promoting entries) does not justify any external credentials. The SKILL.md explicitly forbids storing secrets, which aligns with the lack of requested credentials.
Persistence & Privilege
The skill is allowed to write persistent changes into workspace files (append/promote items to HOT.md, SOUL.md, AGENTS.md, TOOLS.md, MEMORY.md). This is expected for a learning/promote workflow, but it is a lasting change to agent behavior and workspace contents — consider this intended privilege. always:false and normal autonomous invocation are used (the agent can run this skill autonomously), which increases the chance the agent will add/promote entries without an explicit human step unless you limit invocation or review promoted changes.
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-openclaw - 安装完成后，直接呼叫该 Skill 的名称或使用
/self-improving-openclaw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: structured learning loop for OpenClaw with raw intake (.learnings), tiered memory (.self-improving/HOT, domains, projects, archive), promotion rules, heartbeat review workflow, and workspace init script.
元数据
常见问题
Self-Improving OpenClaw 是什么？
Log corrections, errors, feature requests, and recurring patterns into structured workspace learning files, then promote stable patterns into tiered memory a... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 101 次。
如何安装 Self-Improving OpenClaw？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install self-improving-openclaw」即可一键安装，无需额外配置。
Self-Improving OpenClaw 是免费的吗？
是的，Self-Improving OpenClaw 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Self-Improving OpenClaw 支持哪些平台？
Self-Improving OpenClaw 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 OpenClaw？
由 muhamadbasim（@muhamadbasim）开发并维护，当前版本 v1.0.0。
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