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AA huawei-cloud-kubectl-cce-installer

Install, upgrade, verify, or troubleshoot local kubectl and the Huawei Cloud kubectl-cce plugin. Trigger when a user asks to install kubectl, install kubectl-cce, configure the CCE kubectl plugin, verify kubectl-cce availability, or repair local command prerequisites for CCE Kubernetes resource access.

ClawHub Agent Skills author: huaweiclouddev-dev v1.0.0 MIT-0 5 files · 1 script body ≈ 3 096 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Install, upgrade, verify, or troubleshoot local kubectl and the Huawei Cloud kubectl-cce plugin.

As a process A 87/100 · Runs to the end — weak spots: progress reporting

AnalyzerKubernetesInfrastructuretype 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
95/100
safety, quality, tests
Safety 60%
95
Quality 40%
94
Run on models
none yet
Process rating
A
87/100
Runs to the end
Progress reporting w 2
0
Tools and files w 18
60
When it triggers w 12
70
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: huawei-cloud-kubectl-cce-installer (ClawHub)

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

    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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • medium Dangerous commands cmd-privilege SKILL.md:89
      Privilege escalation / world-writable permissions
      sudo bash scripts/install_kubectl_cce.sh --execute --bin-dir /usr/local/bin

    Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 87/100

    • 0Progress reporting. Says nothing while it works
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 51 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3096 tokens
    • 100Running it twice. Mutating operations check current state
    • low 14 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

    • +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 303: enough signal without eating the budget
    • +4Structure: 23 headings
    • +3Step-by-step instructions: 51 items
    • +3Output format is stated explicitly
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: clean
    This skill is a disclosed local installer for kubectl and the Huawei Cloud CCE kubectl plugin, with user confirmation required before changing the machine.
    LLM: benign (high) · VirusTotal: · 3 Aug 2026