← 返回 Skills 市场
Remembering Conversations
作者
YumoeZhung
· GitHub ↗
· v1.0.0
432
总下载
0
收藏
9
当前安装
1
版本数
在 OpenClaw 中安装
/install remembering-conversations
功能描述
Use when user asks 'how should I...' or 'what's the best approach...' after exploring code, OR when you've tried to solve something and are stuck, OR for unf...
安全使用建议
This skill simply tells the agent to search your episodic conversation archive and synthesize results; it does not install software or ask for credentials. Before enabling, consider whether you are comfortable with the agent reading your past conversations (they may contain secrets or private data). If concerned: (1) review or purge sensitive messages from your conversation archive, (2) confirm platform controls around episodic memory access, or (3) avoid enabling the skill. If you want tighter control, ask for a version that restricts date ranges, projects, or explicit user confirmation before each search.
功能分析
Type: OpenClaw Skill
Name: remembering-conversations
Version: 1.0.0
The skill bundle is designed to help the OpenClaw agent search and retrieve past conversation history ('episodic memory') to improve task performance. It defines tools for semantic search and reading archived conversation logs (MCP-TOOLS.md) and provides clear instructions in SKILL.md for when and how to use a specialized sub-agent for these tasks. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found.
能力评估
Purpose & Capability
The name/description (remembering past conversations, searching history) aligns with the instructions and the provided MCP tools. There are no unrelated environment variables, binaries, or install steps requested.
Instruction Scope
The SKILL.md explicitly mandates dispatching a 'search-conversations' subagent and reading top results (2–5) to synthesize findings. This is in-scope for a memory/search skill, but it does mean the agent will access the user's stored conversation history (potentially including sensitive information). The MCP-TOOLS.md also documents a 'read' tool that takes absolute local archive paths, confirming the skill will surface local conversation contents.
Install Mechanism
Instruction-only skill with no install spec and no code files. Nothing is written to disk or downloaded by the skill itself.
Credentials
No environment variables, credentials, or config paths are required. The documented file-paths in MCP-TOOLS.md are relevant to the skill's purpose (conversation archive) and not an unrelated privilege escalation.
Persistence & Privilege
always is false and the skill does not request persistent system-wide configuration changes or elevated privileges. It does instruct the agent to use a subagent, which is normal for skills that perform searches.
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 remembering-conversations - 安装完成后,直接呼叫该 Skill 的名称或使用
/remembering-conversations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 remembering-conversations skill.
- Enables efficient search of past conversations to inform decisions, avoid repeated mistakes, and recall prior work.
- Mandates use of the "search-conversations" agent before attempting to re-solve previously encountered issues.
- Specifies clear scenarios for when conversation memory should and should not be searched.
- Discourages direct tool access, promoting use of the agent for better context management.
元数据
常见问题
Remembering Conversations 是什么?
Use when user asks 'how should I...' or 'what's the best approach...' after exploring code, OR when you've tried to solve something and are stuck, OR for unf... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 432 次。
如何安装 Remembering Conversations?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install remembering-conversations」即可一键安装,无需额外配置。
Remembering Conversations 是免费的吗?
是的,Remembering Conversations 完全免费(开源免费),可自由下载、安装和使用。
Remembering Conversations 支持哪些平台?
Remembering Conversations 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 Remembering Conversations?
由 YumoeZhung(@yumoezhung)开发并维护,当前版本 v1.0.0。
推荐 Skills