SKILLEMALL.ai

BB huawei-cloud-vpcep-list

Query the list of Huawei Cloud VPCEP (VPC Endpoint / VPC Endpoint Service) resources under the current tenant / project, focused on the VPCEP NAME list. Returns each VPC endpoint's name (endpoint_service_name), id, status and service type, and each endpoint service's name (service_name), id and status. Supports filtering by endpoint service name and pagination (limit/offset). Uses the KooCLI commands `hcloud VPCEP ListEndpoints` and `hcloud VPCEP ListEndpointService --cli-region={region}` (primary) against the v1 API, or the huaweicloudsdkvpcep Python SDK (fallback). Read-only — never creates, modifies or deletes any endpoint or service. Use this skill whenever the user wants to list/inspect the VPCEP endpoints or endpoint services of the tenant or query the VPCEP name list, e.g. for endpoint inventory, daily inspection, or connectivity review. Triggers include: "list VPCEP", "VPCEP list", "query VPCEP names", "VPCEP name list", "终端节点列表", "查询终端节点", "VPCEP名称", "终端节点名称", "list endpoints", "list endpoint services", "how many VPCEP endpoints".

ClawHub Agent Skills author: huaweiclouddev-dev v1.0.0 MIT-0 12 files · 1 script body ≈ 2 163 tokens Open the sourceclawhub.ai analyzed 3 d ago

Query the list of Huawei Cloud VPCEP (VPC Endpoint / VPC Endpoint Service) resources under the current tenant / project, focused on the VPCEP NAME list.

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

ProcedureSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
79/100
safety, quality, tests
Safety 60%
90
Quality 40%
62
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

  1. Shorten the description to 1024 characters.
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: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1056 chars, limit 1024

Process rating: all ten parameters 70/100

  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 60Tools and files. Uses tools (web, 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. 25 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 2163 tokens
  • low The response is described with custom markup (10 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 1055: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -31 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 9 example trigger phrases
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (12 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: suspicious
The VPCEP listing behavior is mostly coherent and read-only, but the wrapper sends default external quality reports with cloud query context and errors, which needs user review before installation.
LLM: suspicious (high) · 14 Aug 2026