torchforge-rl-training SKILL.md skillA
torchforge-rl-training from orchestra-research/ai-research-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add orchestra-research/ai-research-skills/torchforge-rl-training@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- orchestra-research/ai-research-skills
- Path
06-post-training/torchforge/SKILL.md- Versions recorded
- 2
- Latest version
- v1.0.0, committed Jan 29, 2026
- First version recorded
- Jan 28, 2026
- Size
- 10,734 bytes
- Repository stars
- 13,718
- License
- MIT
Provides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms. Use when you want clean RL abstractions, easy algorithm experimentation, or scalable training with Monarch and TorchTitan.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# torchforge: PyTorch-Native Agentic RL Library torchforge is Meta's PyTorch-native RL library that separates infrastructure concerns from algorithm concerns. It enables rapid RL research by letting you focus on algorithms while handling distributed training, inference, and weight sync automatically. ## When to Use torchforge **Choose torchforge when you need:** - Clean separation between RL algorithms and infrastructure - PyTorch-native abstractions (no Ray dependency) - Easy algorithm experimentation (GRPO, DAPO, SAPO in ~100 lines) - Scalable training with Monarch actor system - Integration with TorchTitan for model parallelism **Consider alternatives when:** - You need production-ready stability → use **miles** or **verl** - You want Megatron-native training → use **slime** - torchforge is experimental and APIs may change ## Key Features - **Algorithm isolation**: Implement RL algorithms without touching infrastructure - **Scalability**: From single GPU to thousands via Monarch - **Modern stack**: TorchTitan (training), vLLM (inference), TorchStore (sync) - **Loss functions**: GRPO, DAPO, CISPO, GSPO, SAPO built-in ## Architecture Overview ``` …
Read the whole file at its exact version.
How to install
mdr add orchestra-research/ai-research-skills/torchforge-rl-training@sha256:809da22c47d5caadThe line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_armnzasqnwcfculo)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jan 28, 2026 and Jan 29, 2026, more than one a day.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-01-29 | 6f8bdc0 | 10,734 B | A | view · diff |
| v1.0.0 | 2026-01-28 | 2756a55 | 10,733 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (10734 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
orchestra-research/ai-research-skills · 13,718 stars · license MIT · pushed 2026-10-11 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_armnzasqnwcfculo GET https://markdownregistry.com/api/v1/resolve?ref=orchestra-research/ai-research-skills/torchforge-rl-training GET https://markdownregistry.com/api/v1/blob/809da22c47d5caadbcca9d3db7e82e227c174dbaa98f4a01cf2a678ffaffcbf0
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.