Agent skill

Areno Debug Runtime

by inclusionAI in inclusionAI/AReno

Diagnose failed, hung, slow, OOM, NaN, illegal-memory-access, NCCL, compilation, rollout, or training runs in AReno.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Areno Debug Runtime

skills CLI
$ npx skills add inclusionAI/AReno --skill areno-debug-runtime -a claude-code

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

GitHub CLI
$ gh skill install inclusionAI/AReno areno-debug-runtime --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-debug-runtime .claude/skills/areno-debug-runtime && 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-debug-runtime
GitHub stars
323
Token cost
~486 tokens
SKILL.md length
184 words
Files
7 (incl. scripts, references)
Skills in repo
10
Repo updated
First seen
Licence
Apache-2.0

At a glance

Diagnose failed, hung, slow, OOM, NaN, illegal-memory-access, NCCL, compilation, rollout, or training runs in AReno.

  • Works in 7 steps: Preserve exact command, commit, config,… → Classify config/load, prefill, decode,… → For multi-rank output, group signatures… → …
  • Runtime evidence must identify the first causal stage
  • SKILL.md covers Primitives and Workflow
  • Runs Python scripts from its folder; calls python

What it does

Areno Debug Runtime is an agent skill from inclusionAI/AReno. Diagnose failed, hung, slow, OOM, NaN, illegal-memory-access, NCCL, compilation, rollout, or training runs in AReno. Use when runtime evidence must identify the first causal stage. Do not use for routine capacity planning without a failure.

Its SKILL.md is about 490 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/error-taxonomy.md` and `references/nan-triage.md`).

It sits in AI & LLM Engineering, covering GPU and accelerator computing and Site reliability engineering. 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

  • Runtime evidence must identify the first causal stage
  • Routine capacity planning without a failure

Example prompts

  • “/areno-debug-runtime”

Requirements

  • Python 3

Workflow steps

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

  1. Preserve exact command, commit, config, earliest logs, and worker exit data.
  2. Classify config/load, prefill, decode, reward, scoring, train forward, backward, optimizer, save, or distributed teardown.
  3. For multi-rank output, group signatures and prioritize the earliest distinct exception over secondary NCCL watchdog failures.
  4. Distinguish compilation/autotune work from deadlock using elapsed time and stacks.
  5. Reproduce with the same semantic workload at the smallest topology that still fails.
  6. Correct the owning layer. Required kernels must fail loudly; do not introduce silent fallback.
  7. Re-run the reproduction and the original bounded path.

What it can do on your machine

Read from SKILL.md and the folder at commit ce35e0d. 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 3 files 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 Debug Runtime loads about 486 tokens when it runs, and up to ~786 if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 184 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~486
With references · SKILL.md plus every file in references/, read only if the agent opens them
~786

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 ce35e0d, republished under its Apache-2.0 licence (© inclusionAI). 184 words, ~486 tokens.

Download SKILL.mdSave it as .claude/skills/areno-debug-runtime/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
areno-debug-runtime
description
Diagnose failed, hung, slow, OOM, NaN, illegal-memory-access, NCCL, compilation, rollout, or training runs in AReno. Use when runtime evidence must identify the first causal stage. Do not use for routine capacity planning without a failure.

Debug AReno Runtime

Do not modify parameters or code until the lifecycle stage and first causal error are identified.

When diagnosis requires a code fix, implement and commit it locally, then pull the branch on the remote reproduction host. Do not hot-patch the remote source.

Primitives

bash
python .agents/skills/areno-debug-runtime/scripts/summarize_traceback.py run.log
python .agents/skills/areno-debug-runtime/scripts/process_snapshot.py --pid <pid>
python .agents/skills/areno-debug-runtime/scripts/inspect_core.py <core-file> --executable <python>

Use py-spy dump -p <pid> for a Python-side stall. Use Nsight Systems only after a bounded steady-state workload exists. Read references/error-taxonomy.md and references/nan-triage.md as applicable.

Workflow

  1. Preserve exact command, commit, config, earliest logs, and worker exit data.
  2. Classify config/load, prefill, decode, reward, scoring, train forward, backward, optimizer, save, or distributed teardown.
  3. For multi-rank output, group signatures and prioritize the earliest distinct exception over secondary NCCL watchdog failures.
  4. Distinguish compilation/autotune work from deadlock using elapsed time and stacks.
  5. Reproduce with the same semantic workload at the smallest topology that still fails.
  6. Correct the owning layer. Required kernels must fail loudly; do not introduce silent fallback.
  7. Re-run the reproduction and the original bounded path.

Report evidence, root cause, changed ownership boundary, and verification. A process exit without the first error is incomplete diagnosis.

© 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 6 other files (scripts, references) in .agents/skills/areno-debug-runtime of inclusionAI/AReno.

  • SKILL.md
  • agents/openai.yaml
  • references/error-taxonomy.md
  • references/nan-triage.md
  • scripts/inspect_core.py
  • scripts/process_snapshot.py
  • scripts/summarize_traceback.py

Open the folder on GitHubat commit ce35e0d

Compare with similar skills

Areno Debug Runtime 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 Debug Runtime compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Areno Debug Runtime this skillinclusionAI/AReno323—~486Automated safety check: PassApache-2.0
Megatron-LM on SLURMNVIDIA/Megatron-LM18k—~1.8kAutomated safety check: PassApache-2.0
Dynamo Interconnect CheckNVIDIA/skills3.5k1 repos~1.6kAutomated safety check: PassApache-2.0
Lambda LabsLuciole-Studio/Misaka-Agent1252 repos~3kAutomated safety check: WarnMIT
GPU Cluster Evaluationstas00/ml-engineering19k—~25kAutomated safety check: NotesCC-BY-SA-4.0
DGX Spark Memory and Thermal Opswshobson/agents40k1 repos~2kAutomated safety check: PassMIT

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Questions about Areno Debug Runtime

What does Areno Debug Runtime do?

Diagnose failed, hung, slow, OOM, NaN, illegal-memory-access, NCCL, compilation, rollout, or training runs in AReno. Areno Debug Runtime is an agent skill from inclusionAI/AReno. Diagnose failed, hung, slow, OOM, NaN, illegal-memory-access, NCCL, compilation, rollout, or training runs in AReno.

When should I use Areno Debug Runtime?

Areno Debug Runtime fits situations like: runtime evidence must identify the first causal stage; routine capacity planning without a failure.

How do I install Areno Debug Runtime in Claude Code?

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

How do I install Areno Debug Runtime in Codex?

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

Can I use Areno Debug Runtime 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-debug-runtime -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-debug-runtime, .gemini/skills/areno-debug-runtime, .github/skills/areno-debug-runtime and .opencode/skills/areno-debug-runtime in your project.

What does Areno Debug Runtime need to run?

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

Does Areno Debug Runtime 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 Debug Runtime 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 Debug Runtime use?

Areno Debug Runtime 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 Debug Runtime use?

About 486 tokens (SKILL.md is roughly 1.9k 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 300 tokens, read only when the agent opens those files.

What are the alternatives to Areno Debug Runtime?

Skills that share tags, products or a category with Areno Debug Runtime: Megatron-LM on SLURM (NVIDIA/Megatron-LM, 18k stars), Dynamo Interconnect Check (NVIDIA/skills, 3.5k stars), Lambda Labs (Luciole-Studio/Misaka-Agent, 125 stars) and GPU Cluster Evaluation (stas00/ml-engineering, 19k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Areno Debug Runtime?

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 September 24, 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.