SKILLEMALL.ai

AC ucloud-cli

当用户需要通过官方 UCloud CLI 进行真实 UCloud 资源操作时使用,包括查看、创建、更新或删除云主机、网络、EIP、负载均衡器和数据库。当用户想要在 UCloud 上部署 WEB 应用或将服务上线时也使用此技能,即使用户描述的是部署任务而非明确指定云产品。

ClawHub Agent Skills author: ucloud v1.0.1 MIT-0 13 files body ≈ 2 109 tokens Open the sourceclawhub.ai analyzed 23 h ago

当用户需要通过官方 UCloud CLI 进行真实 UCloud 资源操作时使用,包括查看、创建、更新或删除云主机、网络、EIP、负载均衡器和数据库。当用户想要在 UCloud 上部署 WEB 应用或将服务上线时也使用此技能,即使用户描述的是部署任务而非明确指定云产品。

As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationGitHubSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
C
58/100
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
This is a copy of a skill from another catalog; the rating counts the canonical one: ucloud-cli (ClawHub)

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
  • 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: 12. 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 58/100

  • 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
  • 50Failures and branches. 0 branches, has a failure section
  • 100Tools and files. No external tools needed
  • 100Steps. 78 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2109 tokens
  • 100Running it twice. No mutating operations
  • low 13 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
  • medium 5 test cases, all positive: not one "should refuse" or "should ask first"
  • low No test case covers injection arriving through data

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 135: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 78 items
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (5 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
This UCloud CLI skill is coherent, but it needs review because it can make real cloud changes from broad deployment requests and tells the agent to show login credentials in chat.
LLM: suspicious (high) · VirusTotal: · 5 Jul 2026