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rl-env-from-description

adithya-s-k/FineEnvsSkill

Turns a user's plain-English description of an RL training environment into runnable code across the four target frameworks — OpenEnv, OpenReward (ORS), Verifiers, and NeMo Gym. Use whenever someone describes an environment they want to build ("I want to train an agent that does X", "make an env where the model has to Y"), asks to scaffold a new env, asks to port an existing env to one of these frameworks, or asks how to design tools/rewards/state for a new env. Use even when the user does not explicitly say "RL environment" — descriptions like "agent that browses the web", "tool-calling agent

ScannedSkillSource: GitHub
517 stars +26 this week Updated 18d ago License Apache-2.0 Context ≈156 tokens always loaded
66popular

Why this score

Stars12/35
Usage (forks)4/15
Upkeep25/25
License15/15
Owner history10/10

This repo hosts 10 skills, so its 517 stars are split between them (about 52 each) for scoring.

Popularity score: 66/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 21, 2026 at commit 410fb3454a90, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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