Pytorch Metric Learning

TRUSTED · 90
Community indexed

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Downloads 0
Stars 6.3K
Version 1.0.0
Quality 91/100 · Excellent
Trust 90/100 · Production candidate
Audit 88/100 · Safe to try

Supply asset profile

Design and creative production

Design assets, images, video, audio, multimodal media, presentation, and creative production skills.

Browse track

Scenario

Multimodal media

I need my agent to process images, video, or audio and extract useful information.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add KevinMusgrave/pytorch-metric-learning

Maintenance

stable

10mo since push

Risk

Safe to try

No major risk signals from available metadata

GitHub quality

6.3K

91/100 quality · 90/100 trust

Coverage tags

DesignMultimodal mediaml-automationmachine-learningautomation

Review notes

No major risk signals from available metadata

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
91

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Production candidate
90

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency risk, and install availability.

Audit

Safe to try
88

Install readiness, security metadata, maintenance, and adoption risk.

Agent safety v2

80/100 · Safe to install with normal review

Reviewedallow

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add KevinMusgrave/pytorch-metric-learning

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Pytorch Metric Learning in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Pytorch%20Metric%20Learning%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/kevinmusgrave-pytorch-metric-learning/install
Install command: npx skills add KevinMusgrave/pytorch-metric-learning
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use Pytorch Metric Learning for this task. Review https://www.openagentskill.com/api/skills/kevinmusgrave-pytorch-metric-learning/install, then install with: npx skills add KevinMusgrave/pytorch-metric-learning

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

93/100

RAG and knowledge

Platforms

Python, Machine Learning, Claude Code

Audit report

Safe to try · 88/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit report

Agent decision cockpit

Primary pick for RAG and knowledge

Use this as a leading candidate, then validate the README and install path in your own agent stack.

93
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

RAG and knowledge

Trust label

Production-ready

Install path

Command ready

Use when

  • RAG and knowledge workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 6,327 GitHub stars
  • install command or GitHub repo available
  • 91/100 quality profile

Review first

  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one RAG and knowledge task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Production candidate

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency risk, and install availability.

90
Trust score

GitHub adoption

PASS

6.3K GitHub stars

Recent maintenance

INFO

10mo since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Large GitHub adoption signal

Review before install

No major trust warnings detected from available metadata.

Recommended action

Shortlist for production use, then run a normal repository and dependency review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

91
GitHub stars
6.3K
Freshness
10mo ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Overview

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
machine-learningFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
6/15/2026
Published
6/13/2026

Frameworks & Tools

PythonMachine Learning

Decision snapshot

Primary pick

93
Ready
Adopt
Stage

6,327 GitHub stars

Audit Snapshot

Install and adoption review

88
Safe to try
Security
97/100
Maintenance
62/100
Install
92/100
Open full audit

Growth loop

Share this skill

X

Scenario-led draft for Pytorch Metric Learning, with the OpenAgentSkill Update theme and canonical URL.

OpenAgentSkill Update
Today: Pytorch Metric Learning

Use it when you want an agent to help with creative production instead of only te...

6.3K stars - ml-automation
Link: https://www.openagentskill.com/skills/kevinmusgrave-pytorch-metric-learning?ref=x
#AIAgents #OpenAgentSkill
Open X draft
Optional reply with install command
Link for Pytorch Metric Learning:
https://www.openagentskill.com/skills/kevinmusgrave-pytorch-metric-learning?ref=x

Install: npx skills add KevinMusgrave/pytorch-metric-learning

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to KevinMusgrave but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/kevinmusgrave-pytorch-metric-learning)](https://www.openagentskill.com/skills/kevinmusgrave-pytorch-metric-learning)

Author

K

KevinMusgrave

@kevinmusgrave

Platform Fit

Health Signals

GitHub stars
6.3K
Quality score
57/100
Last GitHub push
Aug 17, 2025
Framework hints
2
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Production candidate

90
  • GitHub adoption6.3K GitHub starsPASS
  • Recent maintenance10mo since pushINFO
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency riskno major dependency risk hints in public metadataPASS
  • Install availabilitynpx skills add KevinMusgrave/pytorch-metric-learningPASS