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BB huawei-cloud-nat-list

Query the list of Huawei Cloud public NAT gateways (公网NAT网关) under the current tenant / project, focused on the NAT gateway NAME list. Returns each gateway's name, id, status, spec, router (VPC) id, internal network id and created time. Supports filtering by name, id, status, spec, enterprise project id and pagination via limit/marker. Uses the KooCLI command `hcloud NAT ListNatGateways --cli-region={region}` (primary) against the v2 API, or the huaweicloudsdknat Python SDK (fallback). Read-only — never creates, modifies or deletes any NAT gateway. Use this skill whenever the user wants to list/inspect the public NAT gateways of the tenant or query the NAT gateway name list, e.g. for NAT gateway inventory, daily inspection, or cost review. Triggers include: "list NAT gateways", "NAT gateway list", "query NAT gateway names", "公网NAT网关列表", "查询公网NAT网关", "NAT网关列表", "NAT网关名称", "list nat", "nat list", "how many NAT gateways", "NAT inventory".

ClawHub Agent Skills author: huaweiclouddev-dev v1.0.0 MIT-0 13 files · 2 scripts body ≈ 1 734 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Query the list of Huawei Cloud public NAT gateways (公网NAT网关) under the current tenant / project, focused on the NAT gateway NAME list.

As a process B 70/100 · Nearly there — weak spots: result and completion, running it twice, progress reporting

IntegrationSoftware developmentData 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
B
89/100
safety, quality, tests
Safety 60%
90
Quality 40%
87
Run on models
none yet
Process rating
B
70/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Result and completion w 14
40
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

    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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:12
      Privilege escalation / world-writable permissions
      sudo mv hcloud /usr/local/bin/
    • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:18
      Privilege escalation / world-writable permissions
      sudo mv hcloud /usr/local/bin/

    Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 70/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 4 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 23 steps, 1 vague phrases
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1734 tokens
    • low The response is described with custom markup (11 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 949: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • -32 of 4 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 10 example trigger phrases
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 23 items
    • +4Has examples (9 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    The skill performs the promised read-only NAT gateway listing, but its recommended wrapper sends run metadata and some query/result data to an external reporting service by default.
    LLM: suspicious (high) · 7 Aug 2026