BB huawei-cloud-ecs-eip-query
Queries the EIP (Elastic IP, 弹性公网IP) bound to a single Huawei Cloud ECS instance — given an ECS ID or ECS name, returns the associated public IP address, EIP ID, status, bandwidth and binding details, using the KooCLI `hcloud EIP ListPublicips` command (primary, filtered by `vnic.device_id`) or the huaweicloudsdkeip Python SDK (fallback). Provides a read-only per-instance EIP lookup for network troubleshooting, cost review and resource discovery. Use this skill whenever the user wants the EIP of a specific ECS. Triggers include: ECS EIP query, EIP of ECS, find ECS public IP, ECS 的EIP, 查询ECS的弹性公网IP, ECS公网IP, ECS绑定的EIP, 单个ECS的eip, 查询ECS的eip, 查看ECS的弹性IP, ECS外网IP, 获取ECS公网地址.
Queries the EIP (Elastic IP, 弹性公网IP) bound to a single Huawei Cloud ECS instance — given an ECS ID or ECS name, returns the associated public IP address, EIP…
As a process B 76/100 · Nearly there — weak spots: running it twice, progress reporting
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
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.
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
- 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
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medium Dangerous commands
cmd-privilegereferences/cli-installation-guide.md:22Privilege escalation / world-writable permissionssudo mv hcloud /usr/local/bin/
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medium Dangerous commands
cmd-privilegereferences/cli-installation-guide.md:31Privilege escalation / world-writable permissionssudo mv hcloud /usr/local/bin/
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medium Dangerous commands
cmd-privilegereferences/cli-installation-guide.md:41Privilege escalation / world-writable permissionssudo mv hcloud /usr/local/bin/
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medium Dangerous commands
cmd-privilegereferences/cli-installation-guide.md:47Privilege escalation / world-writable permissionssudo mv hcloud /usr/local/bin/
Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 76/100
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 2 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 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. 16 steps
- 100Result and completion. Output format and completion criterion are stated
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1601 tokens
- low The response is described with custom markup (5 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)
- -32 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 679: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 16 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: 88.