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CF alibabacloud-ecs-gpu-diagnosis

Diagnose GPU issues on Alibaba Cloud ECS GPU instances: GPU device status, driver issues, and GPU hardware failures. Use when users ask to check the GPU status of their GPU instances, detect whether the GPU device is visible, verify that the GPU driver is installed correctly, or troubleshoot GPU anomalies such as GPU not visible or deep learning task failures. Run Console Diagnosis or Cloud Assistant Diagnosis (RunCommand) to detect GPU hardware failures, perform batch diagnosis of GPU servers, or create scheduled (periodic) diagnosis tasks via CreateCommand and InvokeCommand with Cron. Single-instance diagnosis runs Console Diagnosis and Cloud Assistant Diagnosis in parallel; batch and scheduled diagnosis use Cloud Assistant Diagnosis only. Supports streaming output of diagnostic results.

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.2 MIT-0 4 files body ≈ 8 114 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 64/100 · Will not run — References files that are not bundled: references/how-to-implement-by-common-sdk.md

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
C
74/100
safety, quality, tests
Safety 60%
73
Quality 40%
75
Run on models
none yet
Process rating
F
64/100
Will not run
References files that are not bundled: references/how-to-implement-by-common-sdk.md
Tools and files w 18
0
Execution cost w 6
40
When it triggers w 12
50
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 7

✓ No critical or high findings

Medium and low: 7
  • medium Dangerous commands cmd-privilege references/cli-installation.md:17
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/cli-installation.md:22
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/cli-installation.md:31
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/cli-installation.md:36
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/cli-installation.md:72
    Privilege escalation / world-writable permissions
    tar -xzf aliy…tgz && sudo mv aliyun /usr/local/bin/
  • low Obfuscation obf-base64-blob SKILL.md:177
    Long base64-looking blob (quoted — discussed, not commanded)
    --command-content 'aWYg…IDI+JjE7…hlY
    quoted
  • low Obfuscation obf-base64-blob SKILL.md:281
    Long base64-looking blob (quoted — discussed, not commanded)
    --command-content 'aWYg…IDI+JjE7…hlY
    quoted

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 8114 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: references/how-to-implement-by-common-sdk.md

Process rating: all ten parameters 64/100

Will not run. References files that are not bundled: references/how-to-implement-by-common-sdk.md
  • 0Tools and files. 1 referenced file(s) missing: references/how-to-implement-by-common-sdk.md
  • 40Execution cost. Instruction body is 8114 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 80 steps
  • 100Failures and branches. 20 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • high The skill tells the model to perform an irreversible action with no human approval
  • low The response is described with custom markup (4 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +3Description length 800: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 80 items
  • +3Output format is stated explicitly
  • +4Has examples (22 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
The skill is a coherent Alibaba Cloud GPU diagnostic helper, but it can run remote shell diagnostics and create recurring cloud tasks with too little explicit user confirmation.
LLM: suspicious (high) · 17 Aug 2026