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generate-nemo-gym-env

adithya-s-k/FineEnvsSkill

Builds a NeMo Gym (NVIDIA) variant of an RL environment. Use whenever someone asks to scaffold a NeMo Gym Resources Server, port an existing env to NeMo Gym, expose tools as `app.post()` endpoints with cookie-based sessions, add a post-episode `/verify` reward grader, or deploy a NeMo Gym env to HF Spaces. NeMo Gym is the right framework when the user wants HTTP+REST with cookie session handling, raw `requests`-driven rollouts (no SDK client), Ray-based orchestration, or NVIDIA NeMo / TRL training integration with a `responses_create_params` + `ground_truth` dataset format. Output is a runnabl

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

Alternatives

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