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BF huawei-cloud-cce-cluster-management

Huawei Cloud CCE (Cloud Container Engine) cluster lifecycle management skill using hcloud CLI (KooCLI) for Huawei Cloud API calls and kubectl cce plugin for Kubernetes node operations (cordon/uncordon/drain/status). Use this skill when the user wants to: (1) create, delete, hibernate, or awake CCE clusters, (2) list clusters and query cluster/node/nodepool/addon information, (3) manage node pools (create, delete, resize), (4) manage nodes (create, delete, cordon, uncordon, drain), (5) manage addons (install, uninstall, update), (6) bind/unbind cluster EIP for public access, (7) get cluster kubeconfig. Trigger: user mentions "CCE cluster", "create cluster", "delete cluster", "node pool", "node management", "hibernate cluster", "awake cluster", "addon", "kubeconfig", "EIP binding", "CCE 集群", "创建集群", "删除集群", "节点池", "节点管理", "休眠集群", "唤醒集群", "插件", "kubeconfig", "EIP 绑定"

ClawHub Agent Skills author: huaweicloud-skills-team v1.0.3 MIT-0 18 files body ≈ 5 329 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 66/100 · Will not run — References files that are not bundled: ../huawei-cloud-kubectl-cce-installer/SKILL.md

IntegrationKubernetesSoftware developmentInfrastructuretype 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
B
88/100
safety, quality, tests
Safety 60%
95
Quality 40%
78
Run on models
none yet
Process rating
F
66/100
Will not run
References files that are not bundled: ../huawei-cloud-kubectl-cce-installer/SKILL.md
Tools and files w 18
0
Progress reporting w 2
0
Result and completion w 14
60
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 · 1

✓ No critical or high findings

Medium and low: 1
  • medium Dangerous commands cmd-privilege SKILL.md:130
    Privilege escalation / world-writable permissions
    sudo bash ../huawei-cloud-kubectl-cce-installer/scripts/install_kubectl_cce.sh --execute --bin-dir /usr/local/bin

Files scanned: 18. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5329 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../huawei-cloud-kubectl-cce-installer/SKILL.md

Process rating: all ten parameters 66/100

Will not run. References files that are not bundled: ../huawei-cloud-kubectl-cce-installer/SKILL.md
  • 0Tools and files. 1 referenced file(s) missing: ../huawei-cloud-kubectl-cce-installer/SKILL.md
  • 0Progress reporting. Says nothing while it works
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5329 tokens
  • 100Steps. 54 steps
  • 100Failures and branches. 4 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (6 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 876: 120–800 characters recommended
  • -259 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 12 example trigger phrases
  • +4Structure: 31 headings
  • +3Step-by-step instructions: 54 items
  • +3Output format is stated explicitly
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (9 of 10)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: suspicious
This appears to be a real Huawei Cloud CCE management skill, but it needs review because it can make high-impact cloud changes and its credential-handling guarantees do not fully match the implementation.
LLM: suspicious (high) · 3 Sept 2026