Agent skill

Hipfire Kernel Atlas

by warpfront in warpfront/hipfire

Use Kernel Atlas to collect phase-aware hipfire measurements and render ISA Fit View visualizations for AMD GPU kernels, quant formats, and architectures.

Custom licenceAuto-check passedAI & LLM Engineering

Install Hipfire Kernel Atlas

skills CLI
$ npx skills add warpfront/hipfire --skill hipfire-kernel-atlas -a claude-code

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

GitHub CLI
$ gh skill install warpfront/hipfire hipfire-kernel-atlas --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/warpfront/hipfire.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/hipfire-kernel-atlas .claude/skills/hipfire-kernel-atlas && 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
hipfire-kernel-atlas
GitHub stars
655
Token cost
~2.4k tokens
SKILL.md length
692 words
Files
3
Skills in repo
9
Repo updated
First seen
Licence
Custom licence

At a glance

Use Kernel Atlas to collect phase-aware hipfire measurements and render ISA Fit View visualizations for AMD GPU kernels, quant formats, and architectures.

  • Works in 7 steps: Collect or locate rows under… → Attach ISA with --isa-file or --isa-dir… → Attach dispatch provenance with… → …
  • A user asks how MQ/HFQ/HFP/Q8 quants occupy hardware
  • SKILL.md covers What Atlas is, Producer / renderer surface, Workflow and Example commands, plus 3 more sections
  • Runs Shell scripts from its folder; calls python3

What it does

Hipfire Kernel Atlas is an agent skill from warpfront/hipfire. Use Kernel Atlas to collect phase-aware hipfire measurements and render ISA Fit View visualizations for AMD GPU kernels, quant formats, and architectures. Use when a user asks how MQ/HFQ/HFP/Q8 quants occupy hardware, asks for an ASCII ISA visualization, wants to compare gfx1010/gfx1030/gfx11/gfx12 kernel fit, or wants an agent-readable "left on table" summary from Atlas rows. Atlas output is measurement evidence only — never runtime or promotion proof.

Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `render-fit.sh` and `skill.json`).

It sits in AI & LLM Engineering. The repository describes itself as: RDNA-native LLM inference engine in Rust.

When your agent uses it

  • A user asks how MQ/HFQ/HFP/Q8 quants occupy hardware
  • Asks for an ASCII ISA visualization
  • Wants to compare gfx1010/gfx1030/gfx11/gfx12 kernel fit
  • Wants an agent-readable left on table summary from Atlas rows

Example prompts

  • “left on table”
  • “/hipfire-kernel-atlas”

Requirements

  • Python 3
  • A Bash shell

Workflow steps

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

  1. Collect or locate rows under .codeinsight+research/kernel-atlas/runs/.
  2. Attach ISA with --isa-file or --isa-dir + --isa-filter; prefer
  3. Attach dispatch provenance with --dispatch-provenance and
  4. Render via render-fit.sh. With artifacts.profile_kernels, the view
  5. suggest → experiment queue only. Auto-loads history from
  6. task → task.json + TASK.md. Pass --allowed-file for every editable
  7. eval → refresh baseline first when the row carried profiling env

What it can do on your machine

Read from SKILL.md and the folder at commit 0f999cb. 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 script files (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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

Hipfire Kernel Atlas loads about 2.4k tokens when it runs. Until then it costs about 120 tokens; SKILL.md has 692 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~120
When it runs · the whole SKILL.md, loaded when a task matches
~2.4k

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 692 words (~2,359 tokens).

“Thin agent wrapper around scripts/kernel_atlas.py and .agents/skills/hipfire-kernel-atlas/render-fit.sh.”

— opening of SKILL.md by warpfront, Custom licence
name
hipfire-kernel-atlas

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files in .agents/skills/hipfire-kernel-atlas of warpfront/hipfire.

  • SKILL.md
  • render-fit.sh
  • skill.json

Open the folder on GitHubat commit 0f999cb

Compare with similar skills

Hipfire Kernel Atlas 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.

Hipfire Kernel Atlas compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hipfire Kernel Atlas this skillwarpfront/hipfire655—~2.4kAutomated safety check: PassCustom licence
Agent BuildershareAI-lab/learn-claude-code78k5 repos~1.2kAutomated safety check: PassMIT
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs13k8 repos~3kAutomated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k8 repos~3.3kAutomated safety check: PassMIT
1passwordtrpc-group/trpc-agent-go1.9k14 repos~656Automated safety check: PassApache-2.0

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Questions about Hipfire Kernel Atlas

What does Hipfire Kernel Atlas do?

Use Kernel Atlas to collect phase-aware hipfire measurements and render ISA Fit View visualizations for AMD GPU kernels, quant formats, and architectures. Hipfire Kernel Atlas is an agent skill from warpfront/hipfire. Use Kernel Atlas to collect phase-aware hipfire measurements and render ISA Fit View visualizations for AMD GPU kernels, quant formats, and architectures.

When should I use Hipfire Kernel Atlas?

Hipfire Kernel Atlas fits situations like: A user asks how MQ/HFQ/HFP/Q8 quants occupy hardware; asks for an ASCII ISA visualization; wants to compare gfx1010/gfx1030/gfx11/gfx12 kernel fit; wants an agent-readable left on table summary from Atlas rows.

How do I install Hipfire Kernel Atlas in Claude Code?

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

How do I install Hipfire Kernel Atlas in Codex?

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

Can I use Hipfire Kernel Atlas 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 warpfront/hipfire --skill hipfire-kernel-atlas -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hipfire-kernel-atlas, .gemini/skills/hipfire-kernel-atlas, .github/skills/hipfire-kernel-atlas and .opencode/skills/hipfire-kernel-atlas in your project.

What does Hipfire Kernel Atlas need to run?

Going by SKILL.md and its folder, Hipfire Kernel Atlas needs a shell for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3; A Bash shell.

Does Hipfire Kernel Atlas 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 Hipfire Kernel Atlas 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 Hipfire Kernel Atlas use?

Hipfire Kernel Atlas 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 Hipfire Kernel Atlas use?

About 2.4k tokens (SKILL.md is roughly 9.4k 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 Hipfire Kernel Atlas?

Skills that share tags, products or a category with Hipfire Kernel Atlas: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hipfire Kernel Atlas?

warpfront (a GitHub organization) maintains it in warpfront/hipfire, which has 655 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 9, 2026.

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