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Stackery
作者
Vlad Ursul
· GitHub ↗
· v1.0.3
· MIT-0
153
总下载
0
收藏
0
当前安装
4
版本数
在 OpenClaw 中安装
/install stackery
功能描述
Stackery integration. Manage data, records, and automate workflows. Use when the user wants to interact with Stackery data.
安全使用建议
This skill is coherent, but take usual precautions before installing a global CLI: (1) verify the npm package and maintainer (@membranehq) and inspect the referenced GitHub repo to ensure it matches what you expect; (2) if you are cautious, install and run the CLI in an isolated environment (VM or container) since global npm installs modify your system and the CLI will store auth tokens locally; (3) do not paste other service API keys or secrets into the agent — use Membrane connections as intended; (4) review Membrane's privacy and storage policies so you understand what credentials/data are kept server-side and what is stored on your machine.
功能分析
Type: OpenClaw Skill
Name: stackery
Version: 1.0.3
The skill provides instructions for an AI agent to manage Stackery resources using the Membrane CLI. It follows standard integration patterns, including CLI installation via npm and managed authentication. The instructions in SKILL.md include security-positive guidance, such as advising the agent to let the CLI handle credentials rather than requesting API keys from the user. No evidence of malicious intent, data exfiltration, or harmful prompt injection was found.
能力评估
Purpose & Capability
The SKILL.md describes a Stackery integration implemented via the Membrane platform/CLI. Asking the user to install and use the Membrane CLI to create a connection and run actions is coherent with the stated purpose (integrating with Stackery). Minor note: the skill name is 'Stackery' but the integration is performed through Membrane — this is acceptable but could be clearer in the top-level metadata.
Instruction Scope
Instructions are limited to installing the Membrane CLI, authenticating (browser-based or headless code flow), creating/listing connections, discovering actions, and running/creating actions. The doc does not instruct reading unrelated local files, harvesting environment variables, or sending data to unexpected endpoints beyond Membrane/Stackery via the CLI.
Install Mechanism
The install step recommends npm install -g @membranehq/cli@latest (public npm). This is a typical, moderate-risk install mechanism: it pulls a package from the public registry and will install globally (requires appropriate permissions). There are no ad-hoc download URLs or archive extraction steps. Users should verify the npm package author and the referenced GitHub repository before installing.
Credentials
The skill declares no required environment variables or credentials and explicitly advises against asking users for API keys, instead using Membrane-managed connections. That is proportionate. Note: the Membrane CLI will perform authentication and is likely to store tokens/config locally (expected behavior) — users should be aware that credentials are stored by the CLI on the machine where they run it.
Persistence & Privilege
The skill does not request always-on inclusion or special platform privileges. It is instruction-only and has no install spec that writes skill-managed files. The only persistence implication is the user installing a global npm CLI and that CLI storing authentication state locally — an expected side effect of using a CLI tool.
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 stackery - 安装完成后,直接呼叫该 Skill 的名称或使用
/stackery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
v1.0.3
Auto sync from membranedev/application-skills
v1.0.2
Revert refresh marker
v1.0.1
Refresh update marker
v1.0.0
Auto sync from membranedev/application-skills
元数据
常见问题
Stackery 是什么?
Stackery integration. Manage data, records, and automate workflows. Use when the user wants to interact with Stackery data. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 153 次。
如何安装 Stackery?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install stackery」即可一键安装,无需额外配置。
Stackery 是免费的吗?
是的,Stackery 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Stackery 支持哪些平台?
Stackery 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 Stackery?
由 Vlad Ursul(@gora050)开发并维护,当前版本 v1.0.3。
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