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Agent skill

Areno Build Agentic Workflow

by inclusionAI in inclusionAI/AReno

Create or debug an AReno multi-turn agentic dataset, runagent implementation, tool schemas, tool execution, reward, loss masks, interactive TUI game with OpenAI-compatible LLM inference, or agentic…

Apache-2.0Auto-check passedAI & LLM Engineering

Install Areno Build Agentic Workflow

skills CLI
$ npx skills add inclusionAI/AReno --skill areno-build-agentic-workflow -a claude-code

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

GitHub CLI
$ gh skill install inclusionAI/AReno areno-build-agentic-workflow --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/inclusionAI/AReno.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/areno-build-agentic-workflow .claude/skills/areno-build-agentic-workflow && 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
areno-build-agentic-workflow
GitHub stars
323
Token cost
~435 tokens
SKILL.md length
142 words
Files
4 (incl. scripts, references)
Skills in repo
10
Repo updated
First seen
Licence
Apache-2.0

At a glance

Create or debug an AReno multi-turn agentic dataset, runagent implementation, tool schemas, tool execution, reward, loss masks, interactive TUI game with OpenAI-compatible LLM inference, or agentic…

  • Works in 7 steps: Define one deterministic… → Keep dataset loaders processor/tokenizer… → Define strict JSON tool schemas and… → …
  • Multimodal agentic workflows
  • Runs Python scripts from its folder; calls python
  • Not ordinary single-turn rollout

What it does

Areno Build Agentic Workflow is an agent skill from inclusionAI/AReno. Create or debug an AReno multi-turn agentic dataset, runagent implementation, tool schemas, tool execution, reward, loss masks, interactive TUI game with OpenAI-compatible LLM inference, or agentic training example. Use for text or multimodal agentic workflows, not ordinary single-turn rollout.

Its SKILL.md is about 440 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/message-contract.md` and `scripts/validate_transcript.py`).

It sits in AI & LLM Engineering, covering LLM inference and serving. It works with OpenAI. The repository describes itself as: An easy-to-use, fast toolkit to scale up RL post-training on a single node. The licence is Apache-2.0.

When your agent uses it

  • Multimodal agentic workflows
  • Not ordinary single-turn rollout

Example prompts

  • “/areno-build-agentic-workflow”

Requirements

  • Python 3

Workflow steps

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

  1. Define one deterministic environment/game domain and valid dataset records.
  2. Keep dataset loaders processor/tokenizer independent.
  3. Define strict JSON tool schemas and bounded execution. Read references/message-contract.md.
  4. Build trajectories using AReno public agentic types. Preserve assistant tool-call and tool-result ordering.
  5. Reward the intended outcome and process separately; test invalid, partial, and optimal paths.
  6. Verify concurrency, timeout, cancellation, context truncation, multimodal content, and loss masks.
  7. Run a bounded agentic rollout, inspect one full transcript, then one real training step.

What it can do on your machine

Read from SKILL.md and the folder at commit 25f5fed. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    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

Areno Build Agentic Workflow loads about 435 tokens when it runs, and up to ~611 if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 142 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~435
With references · SKILL.md plus every file in references/, read only if the agent opens them
~611

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); the scripts in this folder are not scanned.

SKILL.md

The full file from inclusionAI/AReno at commit 25f5fed, republished under its Apache-2.0 licence (© inclusionAI). 142 words, ~435 tokens.

Download SKILL.mdSave it as .claude/skills/areno-build-agentic-workflow/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
areno-build-agentic-workflow
description
Create or debug an AReno multi-turn agentic dataset, run_agent implementation, tool schemas, tool execution, reward, loss masks, interactive TUI game with OpenAI-compatible LLM inference, or agentic training example. Use for text or multimodal agentic workflows, not ordinary single-turn rollout.

Build an AReno Agentic Workflow

Inspect the nearest example under examples/agentic/ and public types in areno/api/agentic.py before implementation.

Develop on a local branch and pull committed changes into remote validation hosts. Use ModelScope for remote checkpoint and dataset references.

bash
python .agents/skills/areno-build-agentic-workflow/scripts/validate_transcript.py transcript.json
python .agents/skills/areno-run-training/scripts/inspect_dataset.py \
  --dataset-path data.jsonl --loader examples/agentic/<name>/dataset_loader.py --algo gspo

Workflow

  1. Define one deterministic environment/game domain and valid dataset records.
  2. Keep dataset loaders processor/tokenizer independent.
  3. Define strict JSON tool schemas and bounded execution. Read references/message-contract.md.
  4. Build trajectories using AReno public agentic types. Preserve assistant tool-call and tool-result ordering.
  5. Reward the intended outcome and process separately; test invalid, partial, and optimal paths.
  6. Verify concurrency, timeout, cancellation, context truncation, multimodal content, and loss masks.
  7. Run a bounded agentic rollout, inspect one full transcript, then one real training step.

Do not fabricate missing tool calls or alter raw model text to make a trajectory appear valid. Surface parser/capability failures.

© inclusionAI, 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 (scripts, references) in .agents/skills/areno-build-agentic-workflow of inclusionAI/AReno.

  • SKILL.md
  • agents/openai.yaml
  • references/message-contract.md
  • scripts/validate_transcript.py

Open the folder on GitHubat commit 25f5fed

Compare with similar skills

Areno Build Agentic Workflow 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.

Areno Build Agentic Workflow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Areno Build Agentic Workflow this skillinclusionAI/AReno323—~435Automated safety check: PassApache-2.0
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Aider DelegateamElnagdy/delegate-skills2.3k2 repos~3kAutomated safety check: PassMIT
Perfupraullenchai/Rapid-MLX4k—~1.6kAutomated safety check: NotesCustom licence
Model Serving MinefieldBlackwellboy/model-serving-minefield135—~2.1kAutomated safety check: PassMIT
Ideer Daily Paper ChatbotAI45Lab/iDeer416—~3kAutomated safety check: NotesAGPL-3.0

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More from inclusionAI/AReno

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  • Areno Profile Performance

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Works with

Categories

Questions about Areno Build Agentic Workflow

What does Areno Build Agentic Workflow do?

Create or debug an AReno multi-turn agentic dataset, runagent implementation, tool schemas, tool execution, reward, loss masks, interactive TUI game with OpenAI-compatible LLM inference, or agentic…. Areno Build Agentic Workflow is an agent skill from inclusionAI/AReno. Create or debug an AReno multi-turn agentic dataset, runagent implementation, tool schemas, tool execution, reward, loss masks, interactive TUI game with OpenAI-compatible LLM inference, or agentic training example.

When should I use Areno Build Agentic Workflow?

Areno Build Agentic Workflow fits situations like: multimodal agentic workflows; not ordinary single-turn rollout.

How do I install Areno Build Agentic Workflow in Claude Code?

Run `npx skills add inclusionAI/AReno --skill areno-build-agentic-workflow -a claude-code`. Or copy the skill folder (.agents/skills/areno-build-agentic-workflow in inclusionAI/AReno) into .claude/skills/areno-build-agentic-workflow in your project. Claude Code loads it when a task matches its description.

How do I install Areno Build Agentic Workflow in Codex?

Run `npx skills add inclusionAI/AReno --skill areno-build-agentic-workflow -a codex`. Or copy the skill folder (.agents/skills/areno-build-agentic-workflow in inclusionAI/AReno) into .agents/skills/areno-build-agentic-workflow in your project. Codex loads it when a task matches its description.

Can I use Areno Build Agentic Workflow 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 inclusionAI/AReno --skill areno-build-agentic-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/areno-build-agentic-workflow, .gemini/skills/areno-build-agentic-workflow, .github/skills/areno-build-agentic-workflow and .opencode/skills/areno-build-agentic-workflow in your project.

What does Areno Build Agentic Workflow need to run?

Going by SKILL.md and its folder, Areno Build Agentic Workflow needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Areno Build Agentic Workflow 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 Areno Build Agentic Workflow 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Areno Build Agentic Workflow use?

Areno Build Agentic Workflow 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 Areno Build Agentic Workflow use?

About 435 tokens (SKILL.md is roughly 1.7k 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 176 tokens, read only when the agent opens those files.

What are the alternatives to Areno Build Agentic Workflow?

Skills that share tags, products or a category with Areno Build Agentic Workflow: Fine-Tuning Expert (Jeffallan/claude-skills, 12k stars), Aider Delegate (amElnagdy/delegate-skills, 2.3k stars), Perfup (raullenchai/Rapid-MLX, 4k stars) and Model Serving Minefield (Blackwellboy/model-serving-minefield, 135 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Areno Build Agentic Workflow?

inclusionAI (a GitHub organization) maintains it in inclusionAI/AReno, which has 323 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 10, 2026.

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