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new-self-improving

作者 muhamadbasim · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
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在 OpenClaw 中安装
/install new-self-improving
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 is internally coherent and appears to do what it says: create local learning directories, log corrections/errors/feature-requests, review recurring items, and promote stable patterns to higher-tier workspace files. Before installing: (1) Back up any existing SOUL.md / AGENTS.md / TOOLS.md / MEMORY.md or other workspace files the skill might append to. (2) Run the init script in the intended workspace (bash scripts/init-workspace.sh <path>) — it is idempotent and only copies local templates. (3) Decide whether you want the agent to promote entries automatically or only after manual review; if you prefer manual control, avoid enabling autonomous promotions in the agent. (4) Verify the agent redaction policy and avoid logging sensitive data into learnings; although the SKILL.md forbids storing secrets, that is a policy, not a technical enforcement. (5) If you are concerned about automatic modifications to core behavior files, restrict the skill's use to a private sandbox workspace first to observe its actions.
能力评估
Purpose & Capability
The name/description (self-improving memory capture and promotion) aligns with the included files and the single init script. No extraneous environment variables, binaries, or network installs are requested. Creating and managing `.learnings/` and `.self-improving/` is proportionate to the stated goal.
Instruction Scope
SKILL.md instructs the agent to read, append, search, and promote entries across workspace files (raw learnings, review queue, HOT, domains, and, when promoted, core workspace files such as SOUL.md/AGENTS.md/TOOLS.md/MEMORY.md). That behavior is consistent with the purpose but inherently enables permanent edits to the agent's workspace. The instructions explicitly forbid storing secrets and limit scope to local/private workspaces; however, those constraints are procedural (not enforced), so users should be aware the skill will modify workspace files if promotions occur.
Install Mechanism
No install spec and only one small shell init script are included. The script copies shipped templates into workspace directories and is safe to run multiple times; it does not download or execute remote code, and it does not write to unexpected system locations.
Credentials
The skill requests no environment variables or credentials. The SKILL.md explicitly instructs not to store secrets, tokens, or sensitive health/third-party private data. Required access (filesystem in the workspace) is appropriate for the feature.
Persistence & Privilege
The skill persistently creates and appends to files inside the workspace and can promote entries into permanent workspace files (SOUL.md, AGENTS.md, etc.). It does not request always:true or modify other skills' configs. Still, because promotions change core workspace files (which affect agent behavior), users should be aware of and control when promotions happen (manual review or restricted autonomy).
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 new-self-improving
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /new-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
v1.0.1
Rename skill to new-self-improving
元数据
Slug new-self-improving
版本 1.0.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

new-self-improving 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 122 次。

如何安装 new-self-improving?

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

new-self-improving 是免费的吗?

是的,new-self-improving 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

new-self-improving 支持哪些平台?

new-self-improving 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 new-self-improving?

由 muhamadbasim(@muhamadbasim)开发并维护,当前版本 v1.0.1。

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