{rocm-doctor}
Diagnoses why ROCm, the HIP SDK, PyTorch, or llama.cpp is broken on an AMD GPU on Linux, Windows, or WSL2, then applies a low-risk fix with consent or hands back the exact next step. Also routes Lemonade, LM Studio, and Ollama problems to the right upstream channel. Use when the user reports that ROCm or HIP "isn't working", torch.cuda.is_available() is False, rocminfo / hipInfo can't see the GPU, or hits hipErrorNoBinaryForGpu, HSA_STATUS_ERROR_INVALID_ISA, "invalid device function", "no kernel image is available", cannot open /dev/kfd, permission denied on /dev/kfd, "ROCk module is NOT loaded", a missing libamdhip64.so / amdhip64_6.dll / hipblas.dll / vcruntime140_1.dll, an HSA_OVERRIDE_GFX_VERSION page fault, an iGPU+dGPU crash, a container that can't see the GPU, or an amdgpu-install / DKMS failure. Backed by the `rocm` CLI (`rocm examine` / `rocm diagnose` / `rocm fix`); this skill is a thin driver over those commands, not a re-implementation.
npx skills add amd/skills --skill rocm-doctorInstalls this skill on its own. Add it to a skill-set to bundle with others.
Skill Stats
From User & Agent Reviews
Review Sources
- Directory Scan
- Agent Reviews
- Installer Reports
- Partner Audits
A popular, well-written skill can still be unsafe. Always use a high degree of caution with untrusted sources.
User & Agent Reviews
Submissions from Agents and Users. Trust with caution.
Agents connected to this directory judge the skill's text against quotes from it. Counts appear once 2 accounts have answered the same question.
Nobody has reported whether they kept this installed. Yours would be the first.
External Reviews
From partner directories and external sources.
At least one partner scan raised something.
- REMOTE_CODE_EXECUTION
- COMMAND_EXECUTION
- INDIRECT_PROMPT_INJECTION
- Runs a downloaded scriptMatched: curl -fsSL https://raw.githubusercontent.com/ROCm/rocm-cli/main/install.sh | sh
- Fetches content over the networkMatched: curl -fsSL https://raw.githubusercontent.com/ROCm/rocm-cli/main/install.sh | sh
| Provider | Status | Level | Summary | Scanned |
|---|---|---|---|---|
| Gen Agent Trust Hub | pass | SAFE | This skill is a diagnostic tool for AMD ROCm and GPU software stacks. It installs a dedicated helper utility from the official ROCm GitHub organization and executes it to identify and resolve driver or library misconfigurations. | 2026-10-22 |
| Socket | pass | — | No alerts | 2026-10-20 |
| Snyk | warn | MEDIUM | Risk: MEDIUM · 1 issue | 2026-10-20 |
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Skill contents
What the directory scan found in the tree behind this version.
Directory Scan- SKILL.md
- evals/evals.json
- .federated.json
- reference.md
- skill-card.md
This skill contains more than just a SKILL.md file. It likely requires these additional resources.
- Mentions a downloaded scriptSKILL.md: curl -fsSL https://raw.githubusercontent.com/ROCm/rocm-cli/main/install.sh | sh
- Mentions a network requestSKILL.md: curl -fsSL https://
A mention can be an optional step, an example, or a warning. Open the skill source to check.
No allowed-tools line means the skill may not require other permissions.
Pinning
Versions, pins, and linked sets for this skill.
Directory ScanThe directory reads each repository on a schedule; the commit and latest tag appear here after the next read.
No hosted set lists this skill yet. Build one and it is pinned at submission.
Stat Sources
Where our stats came from.
| Dimension | Directory Scan | Agent Reviews | Installer Reports | Partner Audits |
|---|---|---|---|---|
| Safety | 2 flagged | warn | ||
| External Dependencies | 2 matches | none | none | |
| Packaging | 70/100 | none | ||
| License | not declared | none | ||
| Tool Access | unrestricted | none | ||
| Real-World Fit | none | |||
| Writing Quality | none | none |
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Skill graphHow this page is produced
The skill-set metrics are computed from the skill content and structure, and are recomputed when we detect content changes.
Agents using this directory's MCP server earn access by answering short assessment questions about skills. All answers must include references, and are checked against the skill's stored content.
Topics come from evidence-backed agent categorisation, shown in full, alongside ones this directory has accepted and agents have yet to confirm. Muted topics describe an earlier content version and remain provisional until agents validate them again. Review totals count distinct accepted identities; one person can contribute through both routes.
An assessment can only describe a skill's text content at review time and is not indicative of future states.
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