Skill audit report
rocm-doctor Audit report.
Diagnoses why ROCm, the HIP SDK, PyTorch, or llama.cpp is broken on an AMD GPU on Linux or Windows, 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.
OpenAgentSkill Trust Score
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
332 GitHub stars
Stars/forks activity
WARN57
332 stars, 30 forks; issue activity unavailable in current metadata
Recent maintenance
PASS88
2mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN44
command execution surface, credential or environment access
Install availability
PASS92
npx skills add amd/skills --skill rocm-doctor
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL36
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/amd/skills/tree/main/staging/rocm-doctor
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add amd/skills --skill rocm-doctor
Repository
88
https://github.com/amd/skills/tree/main/staging/rocm-doctor
License
86
MIT
Maintenance
88
2mo since push
AI review
55
The installation method uses curl | sh / irm | iex, which is a common but potentially risky pattern. While consent is required, it would be safer to recommend a manual download or checksum verification.
README/SKILL.md completeness
86
Usable description available
Dependency risk
44
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
36
secrets or environment access, shell or command execution
Stars/forks activity
57
332 stars, 30 forks; issue activity unavailable in current metadata
Adoption
68
332 GitHub stars
Warnings
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- The installation method uses curl | sh / irm | iex, which is a common but potentially risky pattern. While consent is required, it would be safer to recommend a manual download or checksum verification.
- The skill depends entirely on the `rocm` CLI being installed; if the CLI cannot be installed or is unavailable, the skill stops without providing any fallback guidance.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- Stars/forks activity: 332 stars, 30 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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