genpark-kahneman-tversky-kto-utility-loss-skill MCP Server

Name: alphaparkinc/genpark-kahneman-tversky-kto-utility-loss-skill
Rating: 3.0 (1 reviews)
Author: alphaparkinc

alphaparkinc/genpark-kahneman-tversky-kto-utility-loss-skill

Score: 50.4 Rank #15379 MCP Server

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GenPark AI Agent Skill - Kahneman-Tversky Optimization (KTO) loss evaluator aligning agents directly on unpaired binary feedback (thumbs-up / thumbs-down) using prospect theory loss aversion.

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Overview

alphaparkinc/genpark-kahneman-tversky-kto-utility-loss-skill is a Python tool. GenPark AI Agent Skill - Kahneman-Tversky Optimization (KTO) loss evaluator aligning agents directly on unpaired binary feedback (thumbs-up / thumbs-down) using prospect theory loss aversion.

Ranked #15379 out of 24840 indexed tools.

Ecosystem

Python No license

Score Breakdown

Stars 15% 8

8 stars → early stage

Freshness 25% 18d ago

Last commit 18d ago → recently updated

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description Detailed

License None

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

License low impact

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Contributors medium impact

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Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Markdown

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Details

Stars: 8
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: —
Last Commit: 18d ago

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topic:mcp

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