BF huawei-cloud-network-query
Queries Huawei Cloud network resources (VPC/EIP/ELB/NAT/VPN/DNS). Covers VPCs, subnets, security groups, firewalls, route tables, flow logs, EIPs, bandwidths, load balancers, listeners, pools, health monitors, NAT gateways, SNAT/DNAT rules, VPN gateways, VPN connections, DNS zones, record sets, PTR records, and endpoints. No write operations. Use this skill when the user needs to query network topology, security group rules, load balancer config, NAT rules, VPN status, or DNS resolution info. Triggers: VPC, 子网, 安全组, EIP, 弹性公网IP, ELB, 负载均衡, NAT网关, VPN, DNS, 域名解析, 路由表, 防火墙, 带宽, network, subnet, security group.
Queries Huawei Cloud network resources (VPC/EIP/ELB/NAT/VPN/DNS).
As a process F 61/100 · Will not run — References files that are not bundled: scripts/<service_category>/, scripts/as/list_scaling_groups.py, references/<service>/guide.md
How to improve
- The text references files that are not there: add them or drop the references.
- 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 · 4
✓ No critical or high findings
Medium and low: 4
-
low Secrets in code
secret-high-entropy-tokenscripts/eip/count_eip_available_resources.py:10High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)from huaw…del import CountEipAvailableResourcesRequest, EipR…ody
detector -
low Secrets in code
secret-high-entropy-tokenscripts/eip/count_eip_available_resources.py:38High-entropy token-like string (may be an id, hash or a credential)body = EipR…ody()
A further 2 matches are quotations in this security skill's documentation and are not counted as findings.
Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: scripts/<service_category>/ - warning
missing-refreference to a missing file: scripts/as/list_scaling_groups.py - warning
missing-refreference to a missing file: references/<service>/guide.md - warning
missing-refreference to a missing file: scripts/<resource_category>/ - warning
missing-refreference to a missing file: references/<resource_category>/guide.md
Process rating: all ten parameters 61/100
- 0Tools and files. 5 referenced file(s) missing: scripts/<service_category>/, scripts/as/list_scaling_groups.py, references/<service>/guide.md
- 0Progress reporting. Says nothing while it works
- 55Failures and branches. 1 branches
- 60Steps. 67 steps, 5 vague phrases
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2436 tokens
- 100Running it twice. Mutating operations check current state
- low 12 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (15 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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +4No input/output examples
- -31 of 3 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 615: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 67 items
- +3Output format is stated explicitly
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.