grpo-rlvr-training SKILL.md skillA
grpo-rlvr-training from wshobson/agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add wshobson/agents/grpo-rlvr-training@git:20260714.baa5bd7Pins git:20260714.baa5bd7 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- wshobson/agents
- Path
plugins/llm-finetuning/skills/grpo-rlvr-training/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260714.baa5bd7, committed Jul 14, 2026
- Size
- 7,823 bytes
- Repository stars
- 42,320
- License
- MIT
Train reasoning and verifiable-task behavior with GRPO and reinforcement learning from verifiable rewards (RLVR). Use when task success is algorithmically checkable (math, code, tool calls, structured output), when designing GRPO reward functions, or when a GRPO run diverges or reward-hacks.
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
# GRPO & RLVR Training This skill assumes `finetuning-method-selection` already routed here because the target behavior has a verifiable pass/fail signal — not demonstrations (`lora-qlora-recipes`) or preference pairs (`preference-optimization`). What follows is when RL is the right tool, the reference recipe, the mandatory reward-inspection gate, and how to pick a GRPO variant when the base recipe misbehaves. **Input:** a routing decision (RLVR via GRPO) plus a verifier (code executor, test suite, schema checker, or grader) for the target task. **Output format:** a validated GRPO config — the kwarg values in `references/grpo-memory.md` and the reward functions in `references/reward-functions.md`, not free-form advice — that `llm-finetuning-training-engineer` consumes directly. ## When RL Applies GRPO+RLVR only pays off when task success is **algorithmically checkable** — a unit test passes, a parser accepts the output, a tool call matches an expected schema, a math answer matches a ground truth. If grading the output requires human judgment or a subjective rubric, that's an eval-harness and judge-calibration problem first — see `eval-harness-first` — not a reason to skip …
Read the whole file at its exact version.
How to install
mdr add wshobson/agents/grpo-rlvr-training@sha256:7249cbd21480fc2fThe line at the top of this page pins the label git:20260714.baa5bd7, 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_xnoffbhe6lz3qvwk)
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Versions
The registry has recorded 1 version of this file, committed on Jul 14, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
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- 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
wshobson/agents · 42,320 stars · license MIT · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_xnoffbhe6lz3qvwk GET https://markdownregistry.com/api/v1/resolve?ref=wshobson/agents/grpo-rlvr-training GET https://markdownregistry.com/api/v1/blob/7249cbd21480fc2fe5b27dd5e40aa85b90db9c2a6c9238e4f9cb70fb6acb02a1
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.