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BF huawei-cloud-cce-list

查询华为云CCE（云容器引擎）集群列表，支持表格化输出集群名称、状态、版本、节点数等关键字段

ClawHub Agent Skills author: yangaiwu v1.0.2 MIT-0 10 files body ≈ 479 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 49/100 · Will not run — References files that are not bundled: references/iam-policies.md, references/verification-method.md, references/dataflow-diagram.md

ProcedureInfrastructuretype 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
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
55
Run on models
none yet
Process rating
F
49/100
Will not run
References files that are not bundled: references/iam-policies.md, references/verification-method.md, references/dataflow-diagram.md
Tools and files w 18
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

The same skill appears in 2 more places: ClawHub, 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.
  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 · 0

✓ No critical or high findings

Files scanned: 10. 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")
  • warning missing-ref reference to a missing file: references/iam-policies.md
  • warning missing-ref reference to a missing file: references/verification-method.md
  • warning missing-ref reference to a missing file: references/dataflow-diagram.md
  • warning missing-ref reference to a missing file: references/acceptance-criteria.md
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "tools"

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: references/iam-policies.md, references/verification-method.md, references/dataflow-diagram.md
  • 0Tools and files. 4 referenced file(s) missing: references/iam-policies.md, references/verification-method.md, references/dataflow-diagram.md
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Result and completion. Does not say what the result is
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 24 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 479 tokens
  • 100Running it twice. No mutating operations

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)
  • +3Description length 46: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.

External checks

ClawHub: clean
This skill performs a disclosed read-only Huawei Cloud CCE cluster listing, but users should treat the required cloud credentials and resulting resource inventory as sensitive.
LLM: benign (high) · VirusTotal: · 31 Aug 2026