Official agent skill

Autows Testing

by facebookexperimental in facebookexperimental/triton

Run autoWS (automatic warp specialization) correctness tests.

OfficialMITAuto-check passed

Install Autows Testing

skills CLI
$ npx skills add facebookexperimental/triton --skill autows-testing -a claude-code

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

GitHub CLI
$ gh skill install facebookexperimental/triton autows-testing --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/facebookexperimental/triton.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/autows-testing .claude/skills/autows-testing && 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
autows-testing
GitHub stars
201
Token cost
~467 tokens
SKILL.md length
64 words
Files
1
Skills in repo
18
Repo updated
First seen
Licence
MIT

At a glance

Run autoWS (automatic warp specialization) correctness tests.

  • Working on autoWS compiler code — files under WarpSpecialization/
  • SKILL.md covers Python tests, LIT tests and If tests hang
  • Calls pytest and python
  • Partition scheduling

What it does

Autows Testing is an agent skill from facebookexperimental/triton, published by the product's own GitHub organization. Run autoWS (automatic warp specialization) correctness tests. Use when working on autoWS compiler code — files under WarpSpecialization/, partition scheduling, warpspecialize ops, WSCodePartition, WSDataPartition, WSTaskPartition, WSMemoryPlanner, or related passes. Do NOT use TLX correctness tests (thirdparty/tlx/tutorials/testing/testcorrectness.py) for autoWS work — those test manual warp specialization via TLX, not the automatic compiler pipeline.

Its SKILL.md is about 470 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Github mirror of trition-lang/triton repo. The licence is MIT.

When your agent uses it

  • Working on autoWS compiler code — files under WarpSpecialization/
  • Partition scheduling
  • Warpspecialize ops
  • WSCodePartition

Example prompts

  • “/autows-testing”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 612bd83. 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:

    • pytest
    • 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

Autows Testing loads about 467 tokens when it runs. Until then it costs about 118 tokens; SKILL.md has 64 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~118
When it runs · the whole SKILL.md, loaded when a task matches
~467

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 facebookexperimental/triton at commit 612bd83, republished under its MIT licence (© facebookexperimental). 64 words, ~467 tokens.

Download SKILL.mdSave it as .claude/skills/autows-testing/SKILL.md (or your agent's skills folder).
name
autows-testing
description
Run autoWS (automatic warp specialization) correctness tests. Use when working on autoWS compiler code — files under WarpSpecialization/, partition scheduling, warp_specialize ops, WSCodePartition, WSDataPartition, WSTaskPartition, WSMemoryPlanner, or related passes. Do NOT use TLX correctness tests (third_party/tlx/tutorials/testing/test_correctness.py) for autoWS work — those test manual warp specialization via TLX, not the automatic compiler pipeline.

AutoWS Correctness Testing

Do NOT run third_party/tlx/tutorials/testing/test_correctness.py for autoWS. Those tests cover manual warp specialization via TLX, which is a separate system.

The canonical test list lives in third_party/nvidia/hopper/run_all.sh — check that file if the list below seems out of date.

Python tests

bash
# GEMM autoWS Python test
pytest python/test/unit/language/test_tutorial09_warp_specialization.py

# Addmm autoWS Python test
pytest python/test/unit/language/test_autows_addmm.py

# AutoWS FA correctness (replaces test_autows_flash_attention.py).
# Covers both fused_attention_ws_device_tma (compiler DP) and
# fused_attention_ws_device_tma_dp (explicit DP) tutorial kernels.
pytest third_party/tlx/tutorials/testing/test_correctness_autows.py

# FA autoWS tutorial kernels
TRITON_ALWAYS_COMPILE=1 pytest python/tutorials/fused-attention-ws-device-tma.py
TRITON_ALWAYS_COMPILE=1 python python/tutorials/test_tlx_bwd_from_fused_attention.py

# FA autoWS Hopper tutorial kernel
TRITON_ALWAYS_COMPILE=1 TRITON_USE_META_WS=1 pytest python/tutorials/fused-attention-ws-device-tma-hopper.py

LIT tests

Run all WarpSpecialization LIT tests:

bash
lit test/Hopper/WarpSpecialization/

If tests hang

Run third_party/tlx/killgpu.sh to kill GPU processes that have been running too long.

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

Files

Just SKILL.md in .claude/skills/autows-testing of facebookexperimental/triton.

Open the folder on GitHubat commit 612bd83

Compare with similar skills

Autows Testing 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.

Autows Testing compared with similar skills
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Autows Testing this skillfacebookexperimental/triton201—~467Automated safety check: PassMIT
B200 Warp Specialized Debuggermirage-project/mirage2.5k—~1.9kAutomated safety check: PassApache-2.0
Correctcursor/plugins10k3 repos~612Automated safety check: PassNone
CorrectionNxcoreAI/EverRoom3k—~290Automated safety check: PassCustom licence
Warp UI Testing with Computer Usewarpdotdev/warp65k1 repos~1kAutomated safety check: PassAGPL-3.0
Special Charsthedaviddias/Front-End-Checklist74k—~561Automated safety check: PassMIT

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Questions about Autows Testing

What does Autows Testing do?

Run autoWS (automatic warp specialization) correctness tests. Autows Testing is an agent skill from facebookexperimental/triton, published by the product's own GitHub organization. Run autoWS (automatic warp specialization) correctness tests.

When should I use Autows Testing?

Autows Testing fits situations like: working on autoWS compiler code — files under WarpSpecialization/; partition scheduling; warpspecialize ops; WSCodePartition.

How do I install Autows Testing in Claude Code?

Run `npx skills add facebookexperimental/triton --skill autows-testing -a claude-code`. Or copy the skill folder (.claude/skills/autows-testing in facebookexperimental/triton) into .claude/skills/autows-testing in your project. Claude Code loads it when a task matches its description.

How do I install Autows Testing in Codex?

Run `npx skills add facebookexperimental/triton --skill autows-testing -a codex`. Or copy the skill folder (.claude/skills/autows-testing in facebookexperimental/triton) into .agents/skills/autows-testing in your project. Codex loads it when a task matches its description.

Can I use Autows Testing 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 facebookexperimental/triton --skill autows-testing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/autows-testing, .gemini/skills/autows-testing, .github/skills/autows-testing and .opencode/skills/autows-testing in your project.

What does Autows Testing need to run?

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

Does Autows Testing 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 Autows Testing 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 Autows Testing use?

Autows Testing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Autows Testing use?

About 467 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.

What are the alternatives to Autows Testing?

Skills that share tags, products or a category with Autows Testing: B200 Warp Specialized Debugger (mirage-project/mirage, 2.5k stars), Correct (cursor/plugins, 10k stars), Correction (NxcoreAI/EverRoom, 3k stars) and Warp UI Testing with Computer Use (warpdotdev/warp, 65k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Autows Testing?

facebookexperimental (a GitHub organization, an official publisher) maintains it in facebookexperimental/triton, which has 201 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on October 8, 2026.

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