llm-writer-negative-style

ENV for self-grading for LLM Writer Style. Style guide is in the individual prompt file. Reward function for each setup is broken down into a rubric env to make the score continuous.

Overview

• Environment ID: llm-writer-negative-style
• Short description: Is the style of text written like an LLM?
• Tags: single-turn

Datasets

• Primary dataset(s): N/A
• Source links: https://github.com/PrimeIntellect-ai/community-environments/pull/131
• Split sizes: N/A

Task

• Type: single-turn
• Parser: N/A
• Rubric overview: Several rules that encode common LLM writing styles, with binary reward.

Quickstart

uv run vf-eval llm-writer-negative-style -m gpt-4.1-mini -n 5 --save-dataset --rollouts-per-example 3

Environment Arguments

N/A

Metrics

Summarize key metrics your rubric emits and how they’re interpreted.