← 返回 Skills 市场
Self Improving Agent Jarvis
作者
bingze00000
· GitHub ↗
· v3.0.11
· MIT-0
96
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install self-improving-agent-jarvis
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 Clau...
安全使用建议
This skill appears to do what it says: add lightweight reminders, detect command errors, and provide templates to log learnings. Before installing or enabling hooks: 1) Review the scripts (activator.sh, error-detector.sh, extract-skill.sh) yourself — they will run with the same permissions as your agent; 2) If you enable the hook, it will be invoked on agent events and will inject virtual files / output into sessions — enable only where you want persistent reminders; 3) The error detector reads CLAUDE_TOOL_OUTPUT (a platform-provided env var) to spot failures — ensure your agent/platform uses that var and that you’re comfortable with hooks reading tool output; 4) The extract-skill helper writes files into the current workspace (it tries to prevent writes outside the workspace) — run with care and check the output paths. If you don't use OpenClaw/Claude hooks, you can still use the templates manually without enabling hooks.
能力评估
Purpose & Capability
The name/description (capture learnings/errors/promote to workspace) aligns with the included artifacts: logging templates, hook handlers that inject reminders, activator/error-detector scripts, and a skill-extraction helper. Required env vars, binaries, and config paths are not requested, which matches the stated lightweight purpose.
Instruction Scope
SKILL.md and hook scripts instruct the agent to create and update local workspace files (e.g., ~/.openclaw/workspace/.learnings and AGENTS.md/SOUL.md). The error-detector script reads the CLAUDE_TOOL_OUTPUT env var (a platform-provided variable) to detect failures; this env var is not listed in requires.env (it's platform-provided), so be aware the hooks examine tool output. All instructions are focused on logging/promoting learnings and enabling reminders—no broad or unrelated data collection or exfiltration is described.
Install Mechanism
No automated install spec is present (instruction-only). Manual install suggestions use a GitHub repo and a ClawdHub command; scripts live in the repo. There are no remote downloads from arbitrary URLs or extracted archives. Installing requires cloning/copying files into the user's OpenClaw directories (user action required).
Credentials
The skill declares no required credentials or secrets. The only environment access observed in scripts is reading CLAUDE_TOOL_OUTPUT (used to detect command errors) and normal filesystem paths under the user's home or current workspace; both are proportionate to a logging/reminder skill.
Persistence & Privilege
The skill provides hooks that the user can copy into ~/.openclaw/hooks and enable; when enabled these will run on agent lifecycle events and inject reminders into sessions. 'always' is false and the skill is opt-in, but enabling hooks gives the skill persistent runtime presence across sessions (normal for hook-based workflows). Review/enable intentionally.
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-jarvis - 安装完成后，直接呼叫该 Skill 的名称或使用
/self-improving-agent-jarvis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
v3.0.11
- Extensive new documentation in SKILL.md detailing workflows, logging formats, and OpenClaw integration.
- Clarifies when and how to log learnings, errors, and feature requests for continuous improvement.
- Provides example formats and metadata for structured entries.
- Includes platform-specific setup for OpenClaw and generic instructions for other agent platforms.
- Outlines promotion process for broadly applicable learnings to project memory files like AGENTS.md and SOUL.md.
元数据
常见问题
Self Improving Agent Jarvis 是什么？
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 96 次。
如何安装 Self Improving Agent Jarvis？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install self-improving-agent-jarvis」即可一键安装，无需额外配置。
Self Improving Agent Jarvis 是免费的吗？
是的，Self Improving Agent Jarvis 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Self Improving Agent Jarvis 支持哪些平台？
Self Improving Agent Jarvis 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 Jarvis？
由 bingze00000（@bingze00000）开发并维护，当前版本 v3.0.11。
推荐 Skills