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amd5

Team Shared Memory

作者 c32 · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ 安全检测通过
90
总下载
0
收藏
0
当前安装
2
版本数
在 OpenClaw 中安装
/install team-shared-memory
功能描述
多实例记忆共享,多个 Agent 之间同步记忆
安全使用建议
This skill appears to do what it claims: local syncing of markdown 'memory' files and local secret scanning. Before installing or running it, review and be comfortable with these points: (1) the scripts operate on your filesystem under $HOME/.openclaw/workspace and will read/write files there—ensure you trust the author and that the workspace path is appropriate; (2) secret-scan can be pointed at any directory and will read many file types to detect sensitive tokens—do not run it against system or root-owned directories with elevated privileges unless you intend to; (3) there is no network communication in the included code, so it does not exfiltrate secrets, but you should still inspect and run the scripts in a safe environment first; (4) verify Node.js >=18 and run with least privilege; and (5) the package author is unknown—if you need higher assurance, ask for provenance or a code-signing/source repo before enabling automated runs.
功能分析
Type: OpenClaw Skill Name: team-shared-memory Version: 1.0.1 The skill bundle provides a local memory synchronization mechanism and a security scanner to prevent sensitive data leakage. The scripts (sync.js and secret-scan.js) operate strictly within the user's local workspace (~/.openclaw/workspace), performing file copying and regex-based secret detection without any network activity, external exfiltration, or unauthorized execution logic.
能力标签
cryptorequires-walletrequires-oauth-token
能力评估
Purpose & Capability
Name/description (team/shared memory) match the included scripts: sync.js performs local copy/sync of markdown memories under ~/.openclaw/workspace and secret-scan.js looks for common secret patterns. No credentials, external services, or unrelated binaries are required.
Instruction Scope
SKILL.md and scripts limit actions to local filesystem operations (reading/writing under HOME/.openclaw/workspace and scanning user-supplied paths). The secret scanner can be invoked against arbitrary directories (--dir) and will read many text file types—this is expected for a scanner but means it can examine any files you point it at.
Install Mechanism
There is no install spec or remote download; the skill is instruction-only with two included Node.js scripts. Requirement is node >=18. No archives or external installers are fetched.
Credentials
The scripts implicitly use process.env.HOME to locate the workspace, which is proportional to a local-sync tool. The skill requests no environment secrets or config paths. Users should note the implicit reliance on the HOME path and file permissions.
Persistence & Privilege
The skill does not request always:true and does not attempt to modify other skills or global agent configs. It writes state and lock files only under ~/.openclaw/workspace/memory/team, which is consistent with its sync purpose.
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 team-shared-memory
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /team-shared-memory 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
团队记忆同步服务,作者改为c32
v1.0.0
多实例记忆共享,多个 Agent 之间同步记忆
元数据
Slug team-shared-memory
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 2
常见问题

Team Shared Memory 是什么?

多实例记忆共享,多个 Agent 之间同步记忆. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 90 次。

如何安装 Team Shared Memory?

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

Team Shared Memory 是免费的吗?

是的,Team Shared Memory 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Team Shared Memory 支持哪些平台?

Team Shared Memory 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 Team Shared Memory?

由 c32(@amd5)开发并维护,当前版本 v1.0.1。

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