dbscan-custom-metric SKILL.md skillA
dbscan-custom-metric from cxcscmu/skilllearnbench is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add cxcscmu/skilllearnbench/dbscan-custom-metric@git:20260424.d50cf5aPins git:20260424.d50cf5a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- cxcscmu/skilllearnbench
- Path
skills/b1-one-shot-claude-sonnet-4-6/dbscan-parameter-tuning/dbscan-custom-metric/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260424.d50cf5a, committed Apr 24, 2026
- Size
- 5,680 bytes
- Repository stars
- 91
- License
- MIT
Run DBSCAN clustering with a custom distance metric using sklearn, including how to define weighted Euclidean metrics and extract cluster centroids.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# DBSCAN with Custom Distance Metrics
## Overview
scikit-learn's DBSCAN accepts a `metric` parameter that can be a callable Python function. When using a custom metric, set `algorithm='ball_tree'` or `algorithm='brute'` (default `'auto'` may not support custom callables).
## Installation
```bash
pip install scikit-learn numpy
```
## Custom Metric Definition
A custom metric must accept two 1D arrays and return a scalar distance.
```python
import numpy as np
def weighted_euclidean(a, b, w=1.0):
"""
Weighted Euclidean distance:
d(a, b) = sqrt((w * Δx)² + ((2 - w) * Δy)²)
When w=1: standard Euclidean distance.
w>1: attenuates y-distances (stretches x influence).
w<1: attenuates x-distances (stretches y influence).
"""
dx = a[0] - b[0]
dy = a[1] - b[1]
return np.sqrt((w * dx)**2 + ((2 - w) * dy)**2)
```
## Using with DBSCAN
DBSCAN requires a metric with a fixed signature `(a, b) -> float`. Use `functools.partial` or a closure to bind parameters:
```python
from sklearn.cluster import DBSCAN
from functools import partial
import numpy as np
def make_metric(shape_weight):
def metric(a, b):
dx = a[0] - b[0]
…Read the whole file at its exact version.
How to install
mdr add cxcscmu/skilllearnbench/dbscan-custom-metric@sha256:8016b5b829d4c45eThe line at the top of this page pins the label git:20260424.d50cf5a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_3pvrmvm4cfnihu5h)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Apr 24, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5680 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
cxcscmu/skilllearnbench · 91 stars · license MIT · pushed 2026-10-02 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_3pvrmvm4cfnihu5h GET https://markdownregistry.com/api/v1/resolve?ref=cxcscmu/skilllearnbench/dbscan-custom-metric GET https://markdownregistry.com/api/v1/blob/8016b5b829d4c45e246270619564cb175021674c2a6ba7c64ad05b4f0c2e5d4e
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.