Agent skill

Hipfire Diag

by warpfront in warpfront/hipfire

Run and interpret hipfire GPU diagnostics for ROCm/HIP bring-up, missing kernels, testkernels failures, inference smoke failures, and install/runtime environment problems.

Custom licenceAuto-check passedAI & LLM Engineering

Install Hipfire Diag

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

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

GitHub CLI
$ gh skill install warpfront/hipfire hipfire-diag --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-diag .claude/skills/hipfire-diag && 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-diag
GitHub stars
658
Token cost
~1.6k tokens
SKILL.md length
677 words
Files
5
Skills in repo
9
Repo updated
First seen
Licence
Custom licence

At a glance

Run and interpret hipfire GPU diagnostics for ROCm/HIP bring-up, missing kernels, testkernels failures, inference smoke failures, and install/runtime environment problems.

  • Works in 5 steps: From the repo root, disclose side… → Parse the JSON with interpret.md. Treat… → Map concrete symptoms to safe commands… → …
  • A user asks to diagnose hipfire
  • SKILL.md covers When to use, Workflow, What the runner measures and Guardrails, plus 1 more section
  • Runs Shell scripts from its folder; calls cargo

What it does

Hipfire Diag is an agent skill from warpfront/hipfire. Run and interpret hipfire GPU diagnostics for ROCm/HIP bring-up, missing kernels, testkernels failures, inference smoke failures, and install/runtime environment problems. Use when a user asks to diagnose hipfire, check GPU readiness, run baseline tests, or explain diagnostic output.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `fix-suggestions.md`, `interpret.md` and `run-diagnostics.sh`).

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 to diagnose hipfire
  • Check GPU readiness
  • Run baseline tests
  • Explain diagnostic output

Example prompts

  • “/hipfire-diag”

Requirements

  • A Bash shell

Workflow steps

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

  1. From the repo root, disclose side effects (below), then
  2. Parse the JSON with interpret.md. Treat passed: 0 /
  3. Map concrete symptoms to safe commands in fix-suggestions.md.
  4. Report in order: **what works → what fails → unknowns → one recommended
  5. If evidence is a runtime/serve failure (not inventory), stop diagnosing and

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:

    • cargo

    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 Diag loads about 1.6k tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 677 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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 677 words (~1,594 tokens).

“Non-destructive GPU/install diagnostics for a source checkout. Gather evidence, classify the failing subsystem, suggest bounded next steps. Do not repair runtime state here — hand established serve/runtime failures to hipfire-autoheal.”

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

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files in .agents/skills/hipfire-diag of warpfront/hipfire.

  • SKILL.md
  • fix-suggestions.md
  • interpret.md
  • run-diagnostics.sh
  • skill.json

Open the folder on GitHubat commit 0f999cb

Compare with similar skills

Hipfire Diag 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 Diag compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hipfire Diag this skillwarpfront/hipfire658—~1.6kAutomated safety check: PassCustom licence
Agent BuildershareAI-lab/learn-claude-code78k4 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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All 9 skills in this repo
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  • Hipfire Kernel Atlas

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  • Hipfire Tester

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  • Rebase Onto Modular

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Questions about Hipfire Diag

What does Hipfire Diag do?

Run and interpret hipfire GPU diagnostics for ROCm/HIP bring-up, missing kernels, testkernels failures, inference smoke failures, and install/runtime environment problems. Hipfire Diag is an agent skill from warpfront/hipfire. Run and interpret hipfire GPU diagnostics for ROCm/HIP bring-up, missing kernels, testkernels failures, inference smoke failures, and install/runtime environment problems.

When should I use Hipfire Diag?

Hipfire Diag fits situations like: A user asks to diagnose hipfire; check GPU readiness; run baseline tests; explain diagnostic output.

How do I install Hipfire Diag in Claude Code?

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

How do I install Hipfire Diag in Codex?

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

Can I use Hipfire Diag 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-diag -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-diag, .gemini/skills/hipfire-diag, .github/skills/hipfire-diag and .opencode/skills/hipfire-diag in your project.

What does Hipfire Diag need to run?

Going by SKILL.md and its folder, Hipfire Diag needs a shell for the scripts in its folder and the command-line tools its instructions call (cargo). Our summary lists: A Bash shell.

Does Hipfire Diag 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 Diag 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 Diag use?

Hipfire Diag 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 Diag use?

About 1.6k tokens (SKILL.md is roughly 6.4k 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 Diag?

Skills that share tags, products or a category with Hipfire Diag: 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 Diag?

warpfront (a GitHub organization) maintains it in warpfront/hipfire, which has 658 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 10, 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.