SKILLEMALL.ai

BC deploy-k8s-cluster

全新地、从无到有、从零开始,部署、搭建、创造、构建、安装、交付 Kubernetes(K8S)集群。 当遇到以下场景时使用此技能: (1) 用户当前没有 K8S 集群,希望从无到有、从零开始部署一套 (2) 用户希望部署、搭建、构建、创造、安装、交付一套新 K8S 环境 (3) 用户提供服务器资源(虚拟机/物理机),询问 K8S 架构设计、技术方案、部署规划、验收方案 (4) 用户可以按照技能引导、根据技能描述 或者 使用技能下的工具完成 K8S 集群的部署 (5) 排查并解决部署、交付、安装期间的问题(例如:cgroup driver、镜像拉取失败、网络插件问题等) (6) 生成交付全流程文档(架构设计、部署方案、部署计划、交付报告、复盘总结) 适用范围:基于 kubeadm 的 Ubuntu 集群部署。不支持 k3s、托管 K8S(EKS/AKS/TKE)、CentOS/RHEL。

ClawHub Agent Skills author: qos v1.0.0 MIT-0 2 files body ≈ 1 302 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceKubernetesInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 0

✓ No critical or high findings

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 56/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 60 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1302 tokens
  • low 11 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 400: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 60 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: suspicious
This is a legitimate Kubernetes deployment guide, but it needs review because it asks for powerful SSH/root access and mixes ordinary cleanup with possible full cluster destruction.
LLM: suspicious (high) · VirusTotal: · 29 May 2026