Agent skill

Capture Kernel Trace

by ROCm in ROCm/FlyDSL

Capture GPU kernel ATT (Advanced Thread Trace) via rocprofv3 on a remote Docker container or locally.

Custom licenceAuto-check: notesDevOps & Cloud

Install Capture Kernel Trace

skills CLI
$ npx skills add ROCm/FlyDSL --skill capture-kernel-trace -a claude-code

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

GitHub CLI
$ gh skill install ROCm/FlyDSL capture-kernel-trace --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/ROCm/FlyDSL.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/capture-kernel-trace .claude/skills/capture-kernel-trace && 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
capture-kernel-trace
GitHub stars
288
Token cost
~2.5k tokens
SKILL.md length
652 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
Custom licence

At a glance

Capture GPU kernel ATT (Advanced Thread Trace) via rocprofv3 on a remote Docker container or locally.

  • Works in 5 steps: Deploy Test Script → Kernel Discovery (if no pattern provided) → Configure input.yaml → …
  • Tasks that involve Containers
  • SKILL.md covers Arguments, Connection Info, Workflow and Step 1: Deploy Test Script, plus 7 more sections
  • Calls ssh, scp and python3

What it does

Capture Kernel Trace is an agent skill from ROCm/FlyDSL. Capture GPU kernel ATT (Advanced Thread Trace) via rocprofv3 on a remote Docker container or locally. Discovers kernel names, configures input.yaml with the target kernelincluderegex, runs rocprofv3 -i input.yaml with FLYDSLDEBUGENABLEDEBUGINFO=1, and downloads the latest uioutputagent directory for analysis. Usage: /capture-kernel-trace <testscript.py [kernelnamepattern]

Its SKILL.md is about 2.5k 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 DevOps & Cloud, covering Containers. It works with Docker. The repository describes itself as: FlyDSL is the Python front‑end of the project: a Flexible Layout Python DSL for expressing tiling, partitioning, data movement, and kernel structure at a high level.

When your agent uses it

  • Tasks that involve Containers

Example prompts

  • “/capture-kernel-trace”

Requirements

  • Python 3
  • Docker
  • Pre-approved tools (allowed-tools): Bash, Read, Write, Edit, Grep, Glob

Workflow steps

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

  1. Deploy Test Script
  2. Kernel Discovery (if no pattern provided)
  3. Configure input.yaml
  4. Run rocprofv3 with ATT
  5. Download Trace Output

What it can do on your machine

Read from SKILL.md and the folder at commit 1941889. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Write
    • Edit
    • Grep
    • Glob

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • ssh
    • scp
    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use ssh and scp, which can reach the network depending on how they are called.

    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

Capture Kernel Trace loads about 2.5k tokens when it runs. Until then it costs about 102 tokens; SKILL.md has 652 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~102
When it runs · the whole SKILL.md, loaded when a task matches
~2.5k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Write, Edit, Grep, Glob

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 652 words (~2,492 tokens).

“Capture rocprofv3 ATT traces from a GPU environment (local or remote Docker container), then download the trace output for analysis.”

— opening of SKILL.md by ROCm, Custom licence
name
capture-kernel-trace
allowed-tools
Bash, Read, Write, Edit, Grep, Glob

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/capture-kernel-trace of ROCm/FlyDSL.

Open the folder on GitHubat commit 1941889

Compare with similar skills

Capture Kernel Trace 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.

Capture Kernel Trace compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Capture Kernel Trace this skillROCm/FlyDSL288—~2.5kAutomated safety check: NotesCustom licence
Iron Proxy Gateway for NanoClawnanocoai/nanoclaw31k—~4.6kAutomated safety check: NotesMIT
GreptimeDB Dev Docker ImageGreptimeTeam/greptimedb6.7k—~4kAutomated safety check: NotesApache-2.0
Senior DevOps Toolkitmaslennikov-ig/claude-code-orchestrator-kit2606 repos~1.1kAutomated safety check: NotesCustom licence
LangBot Deployment Guidelangbot-app/LangBot18k—~1.2kAutomated safety check: NotesApache-2.0
Build Openshell Mxc WindowsNVIDIA/OpenShell15k—~4.9kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Capture Kernel Trace

What does Capture Kernel Trace do?

Capture GPU kernel ATT (Advanced Thread Trace) via rocprofv3 on a remote Docker container or locally. Capture Kernel Trace is an agent skill from ROCm/FlyDSL. Capture GPU kernel ATT (Advanced Thread Trace) via rocprofv3 on a remote Docker container or locally.

When should I use Capture Kernel Trace?

Capture Kernel Trace fits situations like: tasks that involve Containers.

How do I install Capture Kernel Trace in Claude Code?

Run `npx skills add ROCm/FlyDSL --skill capture-kernel-trace -a claude-code`. Or copy the skill folder (.claude/skills/capture-kernel-trace in ROCm/FlyDSL) into .claude/skills/capture-kernel-trace in your project. Claude Code loads it when a task matches its description.

How do I install Capture Kernel Trace in Codex?

Run `npx skills add ROCm/FlyDSL --skill capture-kernel-trace -a codex`. Or copy the skill folder (.claude/skills/capture-kernel-trace in ROCm/FlyDSL) into .agents/skills/capture-kernel-trace in your project. Codex loads it when a task matches its description.

Can I use Capture Kernel Trace 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 ROCm/FlyDSL --skill capture-kernel-trace -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/capture-kernel-trace, .gemini/skills/capture-kernel-trace, .github/skills/capture-kernel-trace and .opencode/skills/capture-kernel-trace in your project.

What does Capture Kernel Trace need to run?

Going by SKILL.md and its folder, Capture Kernel Trace needs the command-line tools its instructions call (ssh, scp and python3). Our summary lists: Python 3; Docker. Its frontmatter pre-approves these tools: Bash, Read, Write, Edit, Grep, Glob.

Does Capture Kernel Trace access the network?

SKILL.md contains no URLs. Its commands use ssh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Capture Kernel Trace safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Capture Kernel Trace use?

Capture Kernel Trace 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 Capture Kernel Trace use?

About 2.5k tokens (SKILL.md is roughly 10k 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 Capture Kernel Trace?

Skills that share tags, products or a category with Capture Kernel Trace: Iron Proxy Gateway for NanoClaw (nanocoai/nanoclaw, 31k stars), GreptimeDB Dev Docker Image (GreptimeTeam/greptimedb, 6.7k stars), Senior DevOps Toolkit (maslennikov-ig/claude-code-orchestrator-kit, 260 stars) and LangBot Deployment Guide (langbot-app/LangBot, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Capture Kernel Trace?

ROCm (a GitHub organization) maintains it in ROCm/FlyDSL, which has 288 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 8, 2026.

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