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版本数
在 OpenClaw 中安装
/install self-improving-agent-1-0-2
功能描述
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
安全使用建议
Install only if you want an agent to keep durable learning records. Keep logging project-local by default, review any changes to CLAUDE.md, AGENTS.md, SOUL.md, TOOLS.md, or Copilot instructions before they are used, avoid global hooks unless you have audited the scripts, and redact secrets, personal data, raw transcripts, tokens, and full command outputs before anything is persisted or shared across sessions.
功能分析
Type: OpenClaw Skill
Name: self-improving-agent-1-0-2
Version: 1.0.0
The skill bundle is classified as suspicious due to its reliance on powerful capabilities that, while intended for benign self-improvement, present a significant attack surface. Specifically, the `scripts/extract-skill.sh` script performs file system modifications (`mkdir`, `cat >`) and executes shell commands (`sed`, `awk`) based on user-provided input (`skill-name`), which could be exploited if the input is not properly sanitized. Additionally, the `scripts/error-detector.sh` reads the `CLAUDE_TOOL_OUTPUT` environment variable, which can contain sensitive command outputs, and the `SKILL.md` and `references/clawdbot-integration.md` instruct the agent to write to various project and workspace files (`.learnings/*.md`, `CLAUDE.md`, `AGENTS.md`, `SOUL.md`, `TOOLS.md`) and use inter-agent communication (`sessions_send`). While the stated purpose is knowledge management, these capabilities (shell execution, file writes, reading sensitive environment variables, inter-agent communication) are high-risk and could be misused if the agent or its inputs were compromised, pushing it beyond 'benign'.
能力评估
Purpose & Capability
The core behavior matches the stated purpose: logging errors, corrections, feature requests, and reusable learnings into markdown files. The concern is not purpose mismatch, but that the capability naturally captures user-provided and operational context for later reuse.
Instruction Scope
The skill tells agents to automatically log broad correction, feature-request, knowledge-gap, and error triggers, and to 'promote aggressively' into CLAUDE.md, AGENTS.md, SOUL.md, TOOLS.md, or Copilot instructions. Those files can influence future agents, but the artifacts do not require explicit user review, redaction, or approval before promotion.
Install Mechanism
The hook setup is disclosed as opt-in and the included hook scripts are small and mostly emit reminders. However, the examples use empty matchers that run on every prompt, include optional user-level/global configuration, and the security note understates the trust boundary by saying scripts only output text while they are still executed as local commands.
Credentials
Project-local .learnings files are proportionate to the self-improvement purpose, but the guidance expands into shared project instruction files, a Clawdbot workspace, session transcript access, and cross-session messages. That is broader than simple local logging and lacks clear need-to-know or data-minimization boundaries.
Persistence & Privilege
Persistent learnings and promoted memory files can outlive the original task and affect later agent behavior. The skill provides gitignore options and says hooks are opt-in, but it does not provide strong rollback, consent, or sensitive-data filtering requirements.
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-agent-1-0-2 - 安装完成后，直接呼叫该 Skill 的名称或使用
/self-improving-agent-1-0-2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-improvement skill for structured project learnings and continuous improvement.
- Provides detailed guides and templates for logging errors, user corrections, feature requests, and knowledge gaps in markdown files.
- Defines categories, log formats, metadata, and processes for reviewing, resolving, and promoting insights to project documentation.
- Outlines triggers and periodic review steps to ensure recurring issues and valuable knowledge are captured and acted upon.
- Supports detection patterns (corrections, requests, gaps, errors) for automatic or manual entry creation.
元数据
常见问题
Self Improving Agent 1.0.2 是什么？
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 10432 次。
如何安装 Self Improving Agent 1.0.2？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install self-improving-agent-1-0-2」即可一键安装，无需额外配置。
Self Improving Agent 1.0.2 是免费的吗？
是的，Self Improving Agent 1.0.2 完全免费（开源免费），可自由下载、安装和使用。
Self Improving Agent 1.0.2 支持哪些平台？
Self Improving Agent 1.0.2 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 1.0.2？
由 TXMERLXN（@txmerlxn）开发并维护，当前版本 v1.0.0。
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