AB huawei-cloud-cce-network-failure-diagnoser
Huawei Cloud CCE Network failure diagnosis skill using Python SDK dispatcher. Use this skill when the user wants to: (1) diagnose CCE network connectivity issues, Service/Ingress failures, (2) analyze ELB configuration, VPC/Subnet issues, (3) diagnose DNS resolution failures, (4) check network policies and security group rules. Trigger: user mentions "network failure", "网络故障", "Service unreachable", "Service 不通", "Ingress 502", "Ingress 504", "ELB error", "ELB 异常", "DNS failure", "DNS 解析失败", "network diagnosis", "网络诊断", "VPC", "subnet", "子网", "安全组", "网络策略"
Huawei Cloud CCE Network failure diagnosis skill using Python SDK dispatcher.
As a process B 77/100 · Nearly there — weak spots: running it twice, progress reporting
How to improve
- 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 · 7
✓ No critical or high findings
Medium and low: 7
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low Dangerous commands
cmd-execpolicy-bypassreferences/common-pitfalls.md:131Runs PowerShell with execution policy bypassed (documentation of a security skill)skill action=exec: powershell -ExecutionPolicy Bypass -File skill://scripts/chec…ps1
security skill -
low Secrets in code
secret-high-entropy-tokenscripts/huawei_cloud/aom.py:665High-entropy token-like string (may be an id, hash or a credential)AddO…ody,
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low Secrets in code
secret-high-entropy-tokenscripts/huawei_cloud/aom.py:737High-entropy token-like string (may be an id, hash or a credential)body = AddO…ody(
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low Secrets in code
secret-high-entropy-tokenscripts/huawei_cloud/aom.py:932High-entropy token-like string (may be an id, hash or a credential)Dele…ody,
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low Secrets in code
secret-high-entropy-tokenscripts/huawei_cloud/aom.py:1336High-entropy token-like string (may be an id, hash or a credential)AddO…ody,
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low Secrets in code
secret-high-entropy-tokenscripts/huawei_cloud/aom.py:1372High-entropy token-like string (may be an id, hash or a credential)body = AddO…ody(
A further 1 matches are quotations in this security skill's documentation and are not counted as findings.
Files scanned: 31. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "id"
Process rating: all ten parameters 77/100
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 2 mutating operations with no state check
- 60Tools and files. Uses tools (bash, web, python, node) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 85Steps. 56 steps, 1 vague phrases
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3697 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 10 top-level sections: this looks like several domains in one skill
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)
- -31 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +5Description quotes 11 example trigger phrases
- +3Description length 562: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 56 items
- +3Output format is stated explicitly
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (3 of 6)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.