SKILLEMALL.ai
GitHub ↗ RU Sign in

AB huawei-cloud-cce-storage-failure-diagnoser

Huawei Cloud CCE Storage failure diagnosis skill using Python SDK dispatcher. Use this skill when the user wants to: (1) diagnose PVC Pending, volume mount failures, (2) analyze EVS disk issues, (3) diagnose storage class and CSI driver errors, (4) check PV/PVC binding status and storage capacity. Trigger: user mentions "storage failure", "存储故障", "PVC Pending", "PVC 挂载失败", "volume mount error", "卷挂载错误", "EVS disk", "云硬盘", "PV failure", "PV 异常", "CSI driver error", "CSI 驱动异常", "存储诊断", "FailedMount", "FailedAttachVolume"

ClawHub Agent Skills author: shijingcheng v0.1.0 MIT-0 51 files body ≈ 4 575 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Huawei Cloud CCE Storage failure diagnosis skill using Python SDK dispatcher.

As a process B 74/100 · Nearly there — weak spots: running it twice

IntegrationKubernetesSoftware developmentInfrastructureData and analyticstype 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
A
93/100
safety, quality, tests
Safety 60%
94
Quality 40%
92
Run on models
none yet
Process rating
B
74/100
Nearly there
Running it twice w 4
30
Failures and branches w 10
50
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

    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 · 6

    ✓ No critical or high findings

    Medium and low: 6
    • low Secrets in code secret-high-entropy-token scripts/huawei_cloud/aom.py:665
      High-entropy token-like string (may be an id, hash or a credential)
      AddO…ody,
    • low Secrets in code secret-high-entropy-token scripts/huawei_cloud/aom.py:737
      High-entropy token-like string (may be an id, hash or a credential)
      body = AddO…ody(
    • low Secrets in code secret-high-entropy-token scripts/huawei_cloud/aom.py:932
      High-entropy token-like string (may be an id, hash or a credential)
      Dele…ody,
    • low Secrets in code secret-high-entropy-token scripts/huawei_cloud/aom.py:1336
      High-entropy token-like string (may be an id, hash or a credential)
      AddO…ody,
    • low Secrets in code secret-high-entropy-token scripts/huawei_cloud/aom.py:1372
      High-entropy token-like string (may be an id, hash or a credential)
      body = AddO…ody(
    • low Dangerous commands cmd-execpolicy-bypass SKILL.md:281
      Runs PowerShell with execution policy bypassed (quoted — discussed, not commanded)
      - Windows: `skill action=exec: powershell -ExecutionPolicy Bypass -File skill://scripts/chec…ps1`
      quoted

    Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "id"

    Process rating: all ten parameters 74/100

    • 30Running it twice. 3 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web, python, node) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Execution cost. Instruction body is 4575 tokens
    • 100Steps. 65 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 10 top-level sections: this looks like several domains in one skill

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • -31 of 2 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 10 example trigger phrases
    • +3Description length 524: enough signal without eating the budget
    • +4Structure: 27 headings
    • +3Step-by-step instructions: 65 items
    • +3Output format is stated explicitly
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: suspicious
    The skill is advertised as read-only storage diagnosis, but its shipped dispatcher exposes broad Huawei Cloud and Kubernetes administration actions, including destructive and credential-sensitive operations.
    LLM: suspicious (high) · VirusTotal: · 17 Jun 2026