← Back to Skills Marketplace
Stackery
by
Vlad Ursul
· GitHub ↗
· v1.0.3
· MIT-0
153
Downloads
0
Stars
0
Active Installs
4
Versions
Install in OpenClaw
/install stackery
Description
Stackery integration. Manage data, records, and automate workflows. Use when the user wants to interact with Stackery data.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install stackery - After installation, invoke the skill by name or use
/stackery - Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Frequently Asked Questions
What is Stackery?
Stackery integration. Manage data, records, and automate workflows. Use when the user wants to interact with Stackery data. It is an AI Agent Skill for Claude Code / OpenClaw, with 153 downloads so far.
How do I install Stackery?
Run "/install stackery" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Stackery free?
Yes, Stackery is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Stackery support?
Stackery is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Stackery?
It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.3.
More Skills