← Back to Skills Marketplace
Pipeworx genderize
by
Bruce Gutman
· GitHub ↗
· v1.0.0
· MIT-0
88
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install pipeworx-genderize
Description
Predict the likely gender associated with a first name — with optional country-specific calibration via genderize.io
Usage Guidance
This skill appears to do what it claims, but check these before installing:
- The SKILL.md expects you to run 'npx mcp-remote@latest ...' (downloads and runs code from npm). If you or the agent will execute that, ensure you trust gateway.pipeworx.io and the mcp-remote package. Consider pinning a specific version rather than 'latest'.
- Update the declared required binaries to include node/npx (or remove npx usage) so the metadata matches behavior.
- Be cautious about sending names (potentially PII) in bulk to an external service — confirm the service's privacy policy and encryption (calls use HTTPS in examples).
- If you need to audit what code will run, fetch the mcp-remote package separately and review it before allowing the agent to run npx.
- If you want lower risk, prefer a local implementation or an API with an explicit, documented install process rather than on-demand npx fetching.
Capability Analysis
Type: OpenClaw Skill
Name: pipeworx-genderize
Version: 1.0.0
The pipeworx-genderize skill is a standard implementation for predicting gender based on names using a remote MCP server. It utilizes the 'mcp-remote' utility to connect to 'https://gateway.pipeworx.io/genderize/mcp' and provides documented tools for gender prediction with optional country calibration. No malicious code, data exfiltration, or prompt injection attempts were found.
Capability Assessment
Purpose & Capability
The skill's name, description, and example RPC/curl call to gateway.pipeworx.io align with a gender-prediction purpose. However, the SKILL.md's 'Setup' recommends running 'npx mcp-remote@latest ...' which implies Node/npx is required — yet required binaries list only 'curl'. That mismatch suggests incomplete or inconsistent metadata.
Instruction Scope
Instructions are scoped to calling an external service (https://gateway.pipeworx.io/genderize/mcp) to predict gender and to configuring an MCP remote via npx. The instructions do not ask the agent to read local files or unrelated credentials. They do, however, direct the agent to send name data (potentially PII) to a third-party endpoint and to install/run remote tooling, which increases risk and should be explicit.
Install Mechanism
There is no formal install spec, but the 'Setup' asks the user/agent to run 'npx -y mcp-remote@latest ...', which will fetch and execute code from the npm registry at runtime. That behavior is higher-risk than a purely instruction-only skill and should be declared (required binaries: node/npx) and justified. The example also uses curl to call the gateway; the gateway is a third-party HTTPS endpoint (expected) but pulling remote code via npx is potentially surprising and should be made explicit in metadata.
Credentials
The skill requests no environment variables, no credentials, and no config paths — appropriate for a simple gender-prediction wrapper. Note: because it transmits names to an external API, users should consider privacy/compliance implications before sending PII.
Persistence & Privilege
always is false and the skill is user-invocable; it does not request elevated persistence or modify other skills. There is no evidence of it attempting to persist credentials or change system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pipeworx-genderize - After installation, invoke the skill by name or use
/pipeworx-genderize - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Frequently Asked Questions
What is Pipeworx genderize?
Predict the likely gender associated with a first name — with optional country-specific calibration via genderize.io. It is an AI Agent Skill for Claude Code / OpenClaw, with 88 downloads so far.
How do I install Pipeworx genderize?
Run "/install pipeworx-genderize" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Pipeworx genderize free?
Yes, Pipeworx genderize is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Pipeworx genderize support?
Pipeworx genderize is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Pipeworx genderize?
It is built and maintained by Bruce Gutman (@b-gutman); the current version is v1.0.0.
More Skills