Agent skill

Openenv Agentic Rl

by burtenshaw in burtenshaw/training-agents

A skill your agent uses when designing, reviewing, or implementing OpenEnv-style environment interfaces for agentic RL with TRL, including reset/step/state contracts, tasksets, Docker or…

Apache-2.0Auto-check passedBackend & APIs

Install Openenv Agentic Rl

skills CLI
$ npx skills add burtenshaw/training-agents --skill openenv-agentic-rl -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install burtenshaw/training-agents openenv-agentic-rl --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/burtenshaw/training-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/openenv-agentic-rl .claude/skills/openenv-agentic-rl && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
openenv-agentic-rl
GitHub stars
153
Token cost
~381 tokens
SKILL.md length
164 words
Files
4 (incl. references)
Skills in repo
6
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when designing, reviewing, or implementing OpenEnv-style environment interfaces for agentic RL with TRL, including reset/step/state contracts, tasksets, Docker or…

  • Works in 6 steps: Define the task and whether stateful… → Specify reset, step, state, terminal… → Keep reward logic in the trainer/eval… → …
  • Implementing OpenEnv-style environment interfaces for agentic RL with TRL
  • SKILL.md covers Workflow, Checks and References
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Openenv Agentic Rl is an agent skill from burtenshaw/training-agents. Use when designing, reviewing, or implementing OpenEnv-style environment interfaces for agentic RL with TRL, including reset/step/state contracts, tasksets, Docker or HTTP/WebSocket serving, MCP compatibility, reward separation, and GRPO environment rollouts.

Its SKILL.md is about 380 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `agents/openai.yaml`, `references/environment-contract.md` and `references/trl-rollouts.md`).

It sits in Backend & APIs, covering Realtime and WebSockets, Fine-tuning and Containers. It works with Model Context Protocol and Docker. The repository describes itself as: A repo on resources for training agents. The licence is Apache-2.0.

When your agent uses it

  • Implementing OpenEnv-style environment interfaces for agentic RL with TRL
  • Including reset/step/state contracts
  • HTTP/WebSocket serving
  • MCP compatibility

Example prompts

  • “/openenv-agentic-rl”

Requirements

  • Docker

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Define the task and whether stateful interaction is actually needed.
  2. Specify reset, step, state, terminal state, action schema, and
  3. Keep reward logic in the trainer/eval layer or a clearly versioned scorer.
  4. Add a small taskset with train/eval separation.
  5. Connect rollouts to TRL GRPO or a similar online RL method.
  6. Record traces for later self-distillation.

What it can do on your machine

Read from SKILL.md and the folder at commit ec7cc54. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Openenv Agentic Rl loads about 381 tokens when it runs, and up to ~665 if it reads all its reference files. Until then it costs about 70 tokens; SKILL.md has 164 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~381
With references · SKILL.md plus every file in references/, read only if the agent opens them
~665

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from burtenshaw/training-agents at commit ec7cc54, republished under its Apache-2.0 licence (© burtenshaw). 164 words, ~381 tokens.

Download SKILL.mdSave it as .claude/skills/openenv-agentic-rl/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
openenv-agentic-rl
description
Use when designing, reviewing, or implementing OpenEnv-style environment interfaces for agentic RL with TRL, including reset/step/state contracts, tasksets, Docker or HTTP/WebSocket serving, MCP compatibility, reward separation, and GRPO environment rollouts.

OpenEnv Agentic RL

Use this skill when an agent training task needs an interactive environment rather than a static prompt.

OpenEnv should be treated as an interoperability layer between harness, environment, and trainer. It should not own the reward definition or training algorithm.

Workflow

  1. Define the task and whether stateful interaction is actually needed.
  2. Specify reset, step, state, terminal state, action schema, and observation schema.
  3. Keep reward logic in the trainer/eval layer or a clearly versioned scorer.
  4. Add a small taskset with train/eval separation.
  5. Connect rollouts to TRL GRPO or a similar online RL method.
  6. Record traces for later self-distillation.

Checks

  • Observations must not leak labels or future state.
  • Train and eval tasks should be separated.
  • The local smoke environment should run without cloud infrastructure.
  • Environment transport should match deployment needs: local process, Docker, HTTP, WebSocket, or MCP.
  • The same interface should support both training and evaluation.

References

  • references/environment-contract.md: environment design checklist.
  • references/trl-rollouts.md: connecting environment rollouts to TRL.

© burtenshaw, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in .agents/skills/openenv-agentic-rl of burtenshaw/training-agents.

  • SKILL.md
  • agents/openai.yaml
  • references/environment-contract.md
  • references/trl-rollouts.md

Open the folder on GitHubat commit ec7cc54

Compare with similar skills

Openenv Agentic Rl next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Openenv Agentic Rl compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Openenv Agentic Rl this skillburtenshaw/training-agents153—~381Automated safety check: PassApache-2.0
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Vercel Functionsvercel/vercel-plugin301—~12kAutomated safety check: NotesCustom licence
Yapi Skillhashgraph-online/awesome-codex-plugins1.3k—~2kAutomated safety check: PassApache-2.0
Tgf Server Devthkhxm/tgf128—~1.3kAutomated safety check: NotesMIT

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Questions about Openenv Agentic Rl

What does Openenv Agentic Rl do?

A skill your agent uses when designing, reviewing, or implementing OpenEnv-style environment interfaces for agentic RL with TRL, including reset/step/state contracts, tasksets, Docker or…. Openenv Agentic Rl is an agent skill from burtenshaw/training-agents. Use when designing, reviewing, or implementing OpenEnv-style environment interfaces for agentic RL with TRL, including reset/step/state contracts, tasksets, Docker or HTTP/WebSocket serving, MCP compatibility, reward separation, and GRPO environment rollouts.

When should I use Openenv Agentic Rl?

Openenv Agentic Rl fits situations like: implementing OpenEnv-style environment interfaces for agentic RL with TRL; including reset/step/state contracts; HTTP/WebSocket serving; MCP compatibility.

How do I install Openenv Agentic Rl in Claude Code?

Run `npx skills add burtenshaw/training-agents --skill openenv-agentic-rl -a claude-code`. Or copy the skill folder (.agents/skills/openenv-agentic-rl in burtenshaw/training-agents) into .claude/skills/openenv-agentic-rl in your project. Claude Code loads it when a task matches its description.

How do I install Openenv Agentic Rl in Codex?

Run `npx skills add burtenshaw/training-agents --skill openenv-agentic-rl -a codex`. Or copy the skill folder (.agents/skills/openenv-agentic-rl in burtenshaw/training-agents) into .agents/skills/openenv-agentic-rl in your project. Codex loads it when a task matches its description.

Can I use Openenv Agentic Rl in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add burtenshaw/training-agents --skill openenv-agentic-rl -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/openenv-agentic-rl, .gemini/skills/openenv-agentic-rl, .github/skills/openenv-agentic-rl and .opencode/skills/openenv-agentic-rl in your project.

What does Openenv Agentic Rl need to run?

SKILL.md names no scripts, command-line tools or credentials: Openenv Agentic Rl is instructions for the agent only. Our summary lists: Docker.

Does Openenv Agentic Rl access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Openenv Agentic Rl safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Openenv Agentic Rl use?

Openenv Agentic Rl is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Openenv Agentic Rl use?

About 381 tokens (SKILL.md is roughly 1.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 284 tokens, read only when the agent opens those files.

What are the alternatives to Openenv Agentic Rl?

Skills that share tags, products or a category with Openenv Agentic Rl: Francis Thinking (francis-build/francis, 107 stars), Cb Security Hardening (BlkLeg/CircuitBreaker, 201 stars), Vercel Functions (vercel/vercel-plugin, 301 stars) and Yapi Skill (hashgraph-online/awesome-codex-plugins, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Openenv Agentic Rl?

burtenshaw (a GitHub user) maintains it in burtenshaw/training-agents, which has 153 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on September 13, 2026.

Source: burtenshaw/training-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.