SKILLEMALL.ai

BB huawei-cloud-billing-bill-query

Query the Huawei Cloud BSS (Business Support System) bills and fees of the current account within ONE billing cycle (one month). Supports three read-only queries: (1) bill fee records (账单费用记录/账单明细) for a billing cycle (YYYY-MM), (2) resource fee records / 流水账单 for a billing cycle, and (3) monthly cost breakdown (月度成本分析). Uses the huaweicloudsdkbss Python SDK (list_customer_bills_fee_records, list_customerself_resource_records, list_customer_bills_monthly_break_down; v2 API GET /v2/bills/customer-bills/fee-records, /v2/bills/customer-bills/res-fee-records, /v2/costs/cost-analysed-bills/monthly-breakdown) — KooCLI does NOT support the BSS service, so the SDK is the only execution path. The shipped scripts/query_bills.py integrates the execution-quality reporting SDK and reports every run to the skillsopr operations console. Time scope is limited to one month (the current month by default) — no multi-month or unbounded range queries. Read-only — never creates, modifies or deletes any billing resource. Use this skill whenever the user wants to check the current Huawei Cloud account's bills, fees, consumption records, 流水账单 or monthly cost within one month, e.g. for cost review, monthly expense check, or budget inspection. Triggers include: "查询账单", "账单查询", "费用查询", "查询费用", "消费记录", "流水账单", "月度账单", "月度费用", "账单明细", "查账单", "bill query", "query bill", "query fees", "billing records", "monthly bill", "cost breakdown", "消费明细", "费用明细".

ClawHub Agent Skills author: huaweiclouddev-dev v1.0.1 MIT-0 13 files · 2 scripts body ≈ 1 871 tokens Open the sourceclawhub.ai analyzed 3 d ago

Query the Huawei Cloud BSS (Business Support System) bills and fees of the current account within ONE billing cycle (one month).

As a process B 71/100 · Nearly there — weak spots: failures and branches, running it twice, progress reporting

ProcedureData and analyticsSoftware developmentCommercetype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
B
71/100
Nearly there
Failures and branches w 10
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

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 · 0

✓ No critical or high findings

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

Against the Agent Skills spec

  • error description-long description is 1445 chars, limit 1024

Process rating: all ten parameters 71/100

  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 3 mutating operations with no state check
  • 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
  • 100Steps. 20 steps
  • 100Result and completion. Output format and completion criterion are stated
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1871 tokens

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 1444: 120–800 characters recommended
  • -32 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 20 items
  • +3Output format is stated explicitly
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
This is a read-only Huawei billing query skill, but it automatically sends telemetry from a sensitive billing workflow to an operations endpoint with only partial user-facing disclosure.
LLM: suspicious (high) · 10 Aug 2026