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Agent skill

Aoti Debug

by pytorch in pytorch/pytorch

Debug AOTInductor (AOTI) errors and crashes. An agent skill from pytorch/pytorch.

Custom licenceAuto-check passedDevelopment

Install Aoti Debug

skills CLI
$ npx skills add pytorch/pytorch --skill aoti-debug -a claude-code

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

GitHub CLI
$ gh skill install pytorch/pytorch aoti-debug --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/pytorch/pytorch.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/aoti-debug .claude/skills/aoti-debug && 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
aoti-debug
GitHub stars
104k
Used in
1 other repo
Token cost
~1.7k tokens
SKILL.md length
693 words
Files
2
Skills in repo
16
Repo updated
First seen
Licence
Custom licence

At a glance

Debug AOTInductor (AOTI) errors and crashes. An agent skill from pytorch/pytorch.

  • Works in 5 steps: Device Mismatch Segfault → Input Device Mismatch at Runtime → Sanity Checks → …
  • Encountering AOTI segfaults
  • SKILL.md covers Error Pattern Routing, First Step: Always Check…, Key Constraint: Device Type… and Common Error Patterns, plus 4 more sections
  • Calls python

What it does

Aoti Debug is an agent skill from pytorch/pytorch. Debug AOTInductor (AOTI) errors and crashes. Use when encountering AOTI segfaults, device mismatch errors, constant loading failures, or runtime errors from aotcompile, aotload, aoticompileandpackage, or aotiloadpackage.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `triton-index-out-of-bounds.md`).

It sits in Development, covering Debugging and Deep learning. It works with CUDA. The repository describes itself as: Tensors and Dynamic neural networks in Python with strong GPU acceleration.

When your agent uses it

  • Encountering AOTI segfaults
  • Device mismatch errors
  • Constant loading failures
  • Runtime errors from aotcompile

Example prompts

  • “/aoti-debug”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Device Mismatch Segfault
  2. Input Device Mismatch at Runtime
  3. Sanity Checks
  4. Pinpoint the CUDA IMA
  5. Identify Problematic Kernels with Intermediate Value Debugger

What it can do on your machine

Read from SKILL.md and the folder at commit 84af535. 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

    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

Aoti Debug loads about 1.7k tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 693 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 693 words (~1,694 tokens).

“This skill helps diagnose and fix common AOTInductor issues.”

— opening of SKILL.md by pytorch, Custom licence
name
aoti-debug

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file in .agents/skills/aoti-debug of pytorch/pytorch.

  • SKILL.md
  • triton-index-out-of-bounds.md

Open the folder on GitHubat commit 84af535

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in pytorch/pytorch, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Aoti Debug 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.

Aoti Debug compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Aoti Debug this skillpytorch/pytorch104k1 repos~1.7kAutomated safety check: PassCustom licence
The Art of Debuggingstas00/the-art-of-debugging1.7k—~6.1kAutomated safety check: NotesCC-BY-SA-4.0
Veomni DebugByteDance-Seed/VeOmni2.2k—~2.8kAutomated safety check: PassApache-2.0
Cuda Cpp Kernelvipshop/cache-dit1.3k—~2.3kAutomated safety check: PassApache-2.0
Debug Cuda Crashsgl-project/sglang37k2 repos~4.9kAutomated safety check: PassApache-2.0
Quark Torch Debugamd/Quark181—~1.9kAutomated safety check: NotesMIT

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Works with

Categories

Questions about Aoti Debug

What does Aoti Debug do?

Debug AOTInductor (AOTI) errors and crashes. An agent skill from pytorch/pytorch. Aoti Debug is an agent skill from pytorch/pytorch. Debug AOTInductor (AOTI) errors and crashes.

When should I use Aoti Debug?

Aoti Debug fits situations like: encountering AOTI segfaults; device mismatch errors; constant loading failures; runtime errors from aotcompile.

How do I install Aoti Debug in Claude Code?

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

How do I install Aoti Debug in Codex?

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

Can I use Aoti Debug 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 pytorch/pytorch --skill aoti-debug -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aoti-debug, .gemini/skills/aoti-debug, .github/skills/aoti-debug and .opencode/skills/aoti-debug in your project.

What does Aoti Debug need to run?

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

Does Aoti Debug 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 Aoti Debug 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 Aoti Debug use?

Aoti Debug has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Aoti Debug use?

About 1.7k tokens (SKILL.md is roughly 6.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Aoti Debug?

Skills that share tags, products or a category with Aoti Debug: The Art of Debugging (stas00/the-art-of-debugging, 1.7k stars), Veomni Debug (ByteDance-Seed/VeOmni, 2.2k stars), Cuda Cpp Kernel (vipshop/cache-dit, 1.3k stars) and Debug Cuda Crash (sgl-project/sglang, 37k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aoti Debug?

pytorch (a GitHub organization) maintains it in pytorch/pytorch, which has 103,819 GitHub stars. The repository holds 16 skills in this directory. The repository was last updated on October 7, 2026.

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