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Install in OpenClaw
/install mars-clouds-clustering-custom-distance-metrics
Description
Define custom distance/similarity metrics for clustering and ML algorithms. Use when working with DBSCAN, sklearn, or scipy distance functions with applicati...
Usage Guidance
This skill is purely documentation and examples for authoring custom distance functions and appears internally consistent. You can safely review and reuse the example code. As a general precaution, avoid executing untrusted metric code in production or with data that must remain private, and consider vectorizing or using compiled implementations for large datasets to avoid performance issues.
Capability Analysis
Type: OpenClaw Skill
Name: mars-clouds-clustering-custom-distance-metrics
Version: 0.1.0
The skill bundle provides standard documentation and code examples for implementing custom distance metrics in Python using sklearn and scipy. The content is purely educational, contains no executable scripts or high-risk commands, and aligns perfectly with its stated purpose of assisting with machine learning clustering tasks in SKILL.md.
Capability Assessment
Purpose & Capability
The name and description (custom distance metrics for clustering/ML) match the SKILL.md examples and guidance. No unrelated binaries, env vars, or capabilities are requested.
Instruction Scope
SKILL.md only contains example Python code and performance notes for defining metrics with sklearn and scipy. It does not instruct reading files, accessing environment variables, contacting external endpoints, or performing actions outside the stated purpose.
Install Mechanism
No install spec or code files are provided; this is instruction-only so nothing will be written to disk or downloaded by the skill.
Credentials
The skill declares no required environment variables, credentials, or config paths — consistent with its purely instructional nature.
Persistence & Privilege
always is false and there are no instructions to modify agent/system configuration or to persist credentials. Autonomous invocation is allowed by default but that is expected and not excessive here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install mars-clouds-clustering-custom-distance-metrics - After installation, invoke the skill by name or use
/mars-clouds-clustering-custom-distance-metrics - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Bulk publish from all-task-skills-dedup
Metadata
Frequently Asked Questions
What is custom-distance-metrics?
Define custom distance/similarity metrics for clustering and ML algorithms. Use when working with DBSCAN, sklearn, or scipy distance functions with applicati... It is an AI Agent Skill for Claude Code / OpenClaw, with 82 downloads so far.
How do I install custom-distance-metrics?
Run "/install mars-clouds-clustering-custom-distance-metrics" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is custom-distance-metrics free?
Yes, custom-distance-metrics is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does custom-distance-metrics support?
custom-distance-metrics is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created custom-distance-metrics?
It is built and maintained by lnj22 (@lnj22); the current version is v0.1.0.
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