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AB huawei-cloud-dws-list

List DWS (Data Warehouse Service) clusters under a Huawei Cloud tenant and return only the cluster names. Based on KooCLI (hcloud) DWS ListClusters API. Useful for daily inspection, resource inventory, and quick cluster overview. Triggers include: "查询DWS列表", "DWS集群列表", "列出DWS", "DWS集群名称", "list DWS clusters", "DWS cluster list", "show DWS names", "DWS inventory"

ClawHub Agent Skills author: huaweiclouddev-dev v1.0.0 MIT-0 11 files · 1 script body ≈ 1 526 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

List DWS (Data Warehouse Service) clusters under a Huawei Cloud tenant and return only the cluster names.

As a process B 71/100 · Nearly there — weak spots: when it triggers, progress reporting

ProcedureData 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
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
B
71/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
Failures and branches w 10
50
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: 11. 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")
  • note frontmatter-key unknown frontmatter key "trigger"
  • note frontmatter-key unknown frontmatter key "input_schema"
  • note frontmatter-key unknown frontmatter key "output_schema"

Process rating: all ten parameters 71/100

  • 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
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 28 steps, 1 vague phrases
  • 100Result and completion. Output format and completion criterion are stated
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1526 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (4 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)
  • -31 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +3Description length 364: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 28 items
  • +3Output format is stated explicitly
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

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

External checks

ClawHub: suspicious
This skill performs the advertised read-only Huawei DWS listing, but its optional wrapper automatically reports cloud inventory inputs, outputs, errors, and stack data to a configurable telemetry endpoint.
LLM: suspicious (high) · 16 Aug 2026