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brucegutman

Pipeworx randomuser

by Bruce Gutman · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
78
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Install in OpenClaw
/install pipeworx-randomuser
Description
Generates realistic fake user profiles with detailed personal info including name, contact, address, nationality, and profile photo, optionally filtered by g...
Usage Guidance
This skill appears functionally coherent and low-risk: it simply calls an external Pipeworx gateway to return fake user profiles. Before installing, consider: 1) the API endpoint is external (gateway.pipeworx.io) — ensure you trust that service because requests and returned data flow through it; 2) profile pictures are hosted externally and may expose request metadata; 3) there is no homepage or source listed — if provenance matters, ask the publisher for a homepage/repo or test in a sandbox first; 4) avoid using generated data for fraudulent or targeted impersonation. If any of those are concerns, request more information from the publisher or run the skill in an isolated environment first.
Capability Analysis
Type: OpenClaw Skill Name: pipeworx-randomuser Version: 1.0.0 The skill bundle provides documentation and configuration for an external Model Context Protocol (MCP) server hosted at gateway.pipeworx.io to generate random user data. It contains no executable code, local scripts, or suspicious instructions, and its functionality is consistent with its stated purpose of providing mock profile information.
Capability Assessment
Purpose & Capability
Name/description (generate realistic fake user profiles) align with the SKILL.md which documents API calls to a randomuser endpoint. No unrelated credentials, binaries, or config paths are requested. Note: registry source/homepage are missing, but that affects provenance, not functional coherence.
Instruction Scope
The instructions are narrowly scoped: a single example curl POST to https://gateway.pipeworx.io/randomuser/mcp invoking generate_users/generate_by_gender. They do not instruct reading local files, environment secrets, or other system state. They do cause network calls to an external service and return profile picture URLs (expected for this capability).
Install Mechanism
No install spec and no code files are present (instruction-only), so nothing is written to disk or installed. This is the lowest-risk installation model and is proportionate for the described function.
Credentials
The skill requires no environment variables, credentials, or config paths. That is appropriate for a simple API-invocation skill that doesn't need user secrets.
Persistence & Privilege
The skill is not always-enabled and does not request elevated or persistent privileges. It can be invoked by the agent (normal default), which is appropriate for a user-invocable tool of this type.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install pipeworx-randomuser
  3. After installation, invoke the skill by name or use /pipeworx-randomuser
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug pipeworx-randomuser
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Pipeworx randomuser?

Generates realistic fake user profiles with detailed personal info including name, contact, address, nationality, and profile photo, optionally filtered by g... It is an AI Agent Skill for Claude Code / OpenClaw, with 78 downloads so far.

How do I install Pipeworx randomuser?

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

Is Pipeworx randomuser free?

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

Which platforms does Pipeworx randomuser support?

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

Who created Pipeworx randomuser?

It is built and maintained by Bruce Gutman (@brucegutman); the current version is v1.0.0.

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