Debug Failing GPU
facebookexperimental/triton
Recover from GPU-busy / GPU-unavailable failures. An agent skill from facebookexperimental/triton.
5-stage kernel correctness verification protocol for Triton and CUDA kernels.
Install Kernel Verification
$ npx skills add ZJLi2013/awesome-kernel-skills --skill kernel-verification -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZJLi2013/awesome-kernel-skills kernel-verification --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ZJLi2013/awesome-kernel-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/system/verification .claude/skills/kernel-verification && rm -rf skills-srcUse ~/.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/
Install the "kernel-verification" agent skill from https://github.com/ZJLi2013/awesome-kernel-skills/tree/main/skills/system/verification into .claude/skills/kernel-verification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kernel-verification", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ZJLi2013/awesome-kernel-skills/tree/main/skills/system/verificationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ZJLi2013/awesome-kernel-skills --skill kernel-verification -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZJLi2013/awesome-kernel-skills kernel-verification --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJLi2013/awesome-kernel-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/system/verification .agents/skills/kernel-verification && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "kernel-verification" agent skill from https://github.com/ZJLi2013/awesome-kernel-skills/tree/main/skills/system/verification into .agents/skills/kernel-verification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kernel-verification", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZJLi2013/awesome-kernel-skills --skill kernel-verification -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZJLi2013/awesome-kernel-skills kernel-verification --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJLi2013/awesome-kernel-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/system/verification .cursor/skills/kernel-verification && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "kernel-verification" agent skill from https://github.com/ZJLi2013/awesome-kernel-skills/tree/main/skills/system/verification into .cursor/skills/kernel-verification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kernel-verification", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ZJLi2013/awesome-kernel-skills.git --path skills/system/verification--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ZJLi2013/awesome-kernel-skills --skill kernel-verification -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZJLi2013/awesome-kernel-skills kernel-verification --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJLi2013/awesome-kernel-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/system/verification .gemini/skills/kernel-verification && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "kernel-verification" agent skill from https://github.com/ZJLi2013/awesome-kernel-skills/tree/main/skills/system/verification into .gemini/skills/kernel-verification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kernel-verification", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ZJLi2013/awesome-kernel-skills kernel-verificationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ZJLi2013/awesome-kernel-skills --skill kernel-verification -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ZJLi2013/awesome-kernel-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/system/verification .github/skills/kernel-verification && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "kernel-verification" agent skill from https://github.com/ZJLi2013/awesome-kernel-skills/tree/main/skills/system/verification into .github/skills/kernel-verification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kernel-verification", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZJLi2013/awesome-kernel-skills --skill kernel-verification -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ZJLi2013/awesome-kernel-skills kernel-verification --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJLi2013/awesome-kernel-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/system/verification .opencode/skills/kernel-verification && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "kernel-verification" agent skill from https://github.com/ZJLi2013/awesome-kernel-skills/tree/main/skills/system/verification into .opencode/skills/kernel-verification/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "kernel-verification", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
kernel-verification- GitHub stars
- 102
- Token cost
- ~702 tokens
- SKILL.md length
- 233 words
- Files
- 1
- Skills in repo
- 12
- Repo updated
- First seen
- Licence
- None found
At a glance
5-stage kernel correctness verification protocol for Triton and CUDA kernels.
- Works in 5 steps: Basic Correctness → Dtype Sensitivity → Edge Cases → …
- Verifying kernel correctness
- SKILL.md covers Overview, Stage 1: Basic Correctness, Stage 2: Dtype Sensitivity and Stage 3: Edge Cases, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Kernel Verification is an agent skill from ZJLi2013/awesome-kernel-skills. 5-stage kernel correctness verification protocol for Triton and CUDA kernels. Covers numerical correctness, dtype sensitivity, edge cases, determinism, and stress testing. Use when verifying kernel correctness, running validation, or setting up test harnesses.
Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Load testing and GPU and accelerator computing. It works with CUDA.
When your agent uses it
- Verifying kernel correctness
- Running validation
- Setting up test harnesses
Example prompts
- “/kernel-verification”
Requirements
- Python 3
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- Basic Correctness
- Dtype Sensitivity
- Edge Cases
- Determinism
- Stress Test
What it can do on your machine
Read from SKILL.md and the folder at commit aba7662. 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 (its code samples are 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
Kernel Verification loads about 702 tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 233 words of instructions outside code blocks.
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 233 words (~702 tokens).
“Every kernel optimization must pass correctness verification before performance is measured. This skill defines a 5-stage protocol adapted from AutoKernel.”
- name
- kernel-verification
Files
Just SKILL.md in skills/system/verification of ZJLi2013/awesome-kernel-skills.
Open the folder on GitHubat commit aba7662
Compare with similar skills
Kernel Verification 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Kernel Verification this skillZJLi2013/awesome-kernel-skills | 102 | — | ~702 | Automated safety check: Pass | None | |
| Debug Failing GPUfacebookexperimental/triton | 201 | — | ~709 | Automated safety check: Pass | MIT | |
| Jetson Video SetupNVIDIA/skills | 3.5k | 1 repos | ~2.4k | Automated safety check: Notes | Apache-2.0 | |
| GPU OptimizerMathews-Tom/armory | 328 | — | ~3.5k | Automated safety check: Notes | MIT | |
| Paddle Design CompilerPaddlePaddle/Paddle | 24k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | |
| Cuda Index Widthpytorch/pytorch | 104k | — | ~1.6k | Automated safety check: Pass | Custom licence |
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Fused Moe Kernel
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Optimize Fused Mixture-of-Experts (MoE) kernels in Triton for NVIDIA and AMD GPUs.
Gemm Kernel Optimization
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Optimize dense matrix multiplication (GEMM) kernels in Triton for NVIDIA and AMD GPUs.
Iterative Kernel Optimization Loop
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Orchestrates continuous kernel optimization by chaining profiling, bottleneck diagnosis, tier-based optimization, verification, and benchmarking into an iterative loop.
Kernel Benchmark
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Unified kernel benchmarking protocol producing JSON results with latency, TFLOPS, GBps, and comparison against PyTorch baselines.
Related
Works with
Questions about Kernel Verification
What does Kernel Verification do?
5-stage kernel correctness verification protocol for Triton and CUDA kernels. Kernel Verification is an agent skill from ZJLi2013/awesome-kernel-skills. 5-stage kernel correctness verification protocol for Triton and CUDA kernels.
When should I use Kernel Verification?
Kernel Verification fits situations like: verifying kernel correctness; running validation; setting up test harnesses.
How do I install Kernel Verification in Claude Code?
Run `npx skills add ZJLi2013/awesome-kernel-skills --skill kernel-verification -a claude-code`. Or copy the skill folder (skills/system/verification in ZJLi2013/awesome-kernel-skills) into .claude/skills/kernel-verification in your project. Claude Code loads it when a task matches its description.
How do I install Kernel Verification in Codex?
Run `npx skills add ZJLi2013/awesome-kernel-skills --skill kernel-verification -a codex`. Or copy the skill folder (skills/system/verification in ZJLi2013/awesome-kernel-skills) into .agents/skills/kernel-verification in your project. Codex loads it when a task matches its description.
Can I use Kernel Verification 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 ZJLi2013/awesome-kernel-skills --skill kernel-verification -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/kernel-verification, .gemini/skills/kernel-verification, .github/skills/kernel-verification and .opencode/skills/kernel-verification in your project.
What does Kernel Verification need to run?
SKILL.md names no scripts, command-line tools or credentials: Kernel Verification is instructions for the agent only. Our summary lists: Python 3.
Does Kernel Verification 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 Kernel Verification 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 Kernel Verification use?
No licence was found for Kernel Verification or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Kernel Verification use?
About 702 tokens (SKILL.md is roughly 2.8k 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 Kernel Verification?
Skills that share tags, products or a category with Kernel Verification: Debug Failing GPU (facebookexperimental/triton, 201 stars), Jetson Video Setup (NVIDIA/skills, 3.5k stars), GPU Optimizer (Mathews-Tom/armory, 328 stars) and Paddle Design Compiler (PaddlePaddle/Paddle, 24k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Kernel Verification?
ZJLi2013 (a GitHub user) maintains it in ZJLi2013/awesome-kernel-skills, which has 102 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on March 31, 2026.
Source: ZJLi2013/awesome-kernel-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.