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gora050

Pickrr

by Vlad Ursul · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
124
Downloads
0
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0
Active Installs
2
Versions
Install in OpenClaw
/install pickrr
Description
Pickrr integration. Manage data, records, and automate workflows. Use when the user wants to interact with Pickrr data.
Usage Guidance
This skill is coherent: it tells you to install and use the Membrane CLI to connect to Pickrr rather than asking for local API keys. Before installing or running the CLI: (1) verify you trust the @membranehq package and its homepage (https://getmembrane.com); (2) prefer using npx or a container/virtual environment if you don’t want a global npm install; (3) confirm what access the Pickrr connection will have and only grant needed permissions; and (4) when authenticating in headless environments, be cautious about copying one-time codes or URLs — only paste them into trusted browsers. If you need higher assurance, review the @membranehq CLI source/release on its official repo before installation.
Capability Analysis
Type: OpenClaw Skill Name: pickrr Version: 1.0.1 The skill bundle provides instructions for integrating with the Pickrr logistics platform using the Membrane CLI. It outlines standard procedures for authentication, action discovery, and execution through the Membrane ecosystem. No indicators of malicious intent, data exfiltration, or harmful prompt injection were identified in SKILL.md or _meta.json.
Capability Tags
cryptocan-make-purchases
Capability Assessment
Purpose & Capability
The skill claims to integrate with Pickrr and all runtime instructions are about installing and using the Membrane CLI to create a Pickrr connection and invoke actions — this aligns with the stated purpose.
Instruction Scope
SKILL.md only instructs installing/using the Membrane CLI, logging in, creating a connector, listing/finding/creating/running actions and using JSON flags. It does not request reading unrelated files, system paths, or unrelated environment variables.
Install Mechanism
There is no install spec in the manifest (instruction-only), but the runtime instructions tell the user to run `npm install -g @membranehq/cli@latest` (or use npx). Installing a third-party global npm CLI is a normal requirement for this workflow but carries the usual npm package trust considerations; the skill itself does not automatically install anything.
Credentials
The skill declares no environment variables or credentials and explicitly instructs to rely on Membrane-managed connections rather than asking for API keys locally. That is proportionate for a connector-based integration.
Persistence & Privilege
The skill is not always-enabled and does not request persistent system-level privileges or modify other skills. It allows normal autonomous invocation (platform default), which is expected for a runtime integration skill.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install pickrr
  3. After installation, invoke the skill by name or use /pickrr
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Auto sync from membranedev/application-skills
v1.0.0
Auto sync from membranedev/application-skills
Metadata
Slug pickrr
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Pickrr?

Pickrr integration. Manage data, records, and automate workflows. Use when the user wants to interact with Pickrr data. It is an AI Agent Skill for Claude Code / OpenClaw, with 124 downloads so far.

How do I install Pickrr?

Run "/install pickrr" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Pickrr free?

Yes, Pickrr is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Pickrr support?

Pickrr is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Pickrr?

It is built and maintained by Vlad Ursul (@gora050); the current version is v1.0.1.

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