SKILLEMALL.ai

AB huawei-cloud-resource-inventory

Query all Huawei Cloud resources under a tenant across all regions and display their inter-resource relationships in grouped tables. Aggregates ECS / BMS / RDS / EVS / DCS / CCE / VPC / Subnet / EIP / ELB / NAT / DNS resources in a single run, builds an in-memory relationship index (network topology, storage mount, dependency), and outputs results as plain-text tables grouped by resource type. Read-only — never creates, modifies, or deletes any resource. Use this skill when the user needs a full resource inventory, resource relationship audit, network topology overview, or cross-region resource census. Triggers include: "查询租户资源", "资源清单", "资源关联", "资源盘点", "resource inventory", "cloud resource list", "全量资源查询", "资源拓扑", "tenant resources", "资源关联关系", "cross-region resource audit".

ClawHub Agent Skills author: dev-skills-operator v1.0.0 MIT-0 9 files body ≈ 1 339 tokens Open the sourceclawhub.ai analyzed 7 h ago

Query all Huawei Cloud resources under a tenant across all regions and display their inter-resource relationships in grouped tables.

As a process B 76/100 · Nearly there — weak spots: running it twice, progress reporting

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
99/100
safety, quality, tests
Safety 60%
100
Quality 40%
98
Run on models
none yet
Process rating
B
76/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Failures and branches w 10
50
the three weakest of ten parameters · all ten

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 · 0

    ✓ No critical or high findings

    Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "triggers"

    Process rating: all ten parameters 76/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 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
    • 100Steps. 34 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1339 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)
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +3Description length 785: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 34 items
    • +3Output format is stated explicitly
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (4 of 5)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 98.

    External checks

    ClawHub: suspicious
    This is a disclosed read-only Huawei Cloud inventory skill, but it weakens TLS protection while using cloud credentials and collecting broad infrastructure metadata.
    LLM: suspicious (high) · 17 Sept 2026