BA huawei-cloud-swr-enterprise-instance
Huawei Cloud SWR enterprise instance management skill using hcloud CLI. Use this skill when the user wants to: (1) manage SWR enterprise instances - create/list/show/delete/update configuration, (2) manage instance namespaces - create/list/show/update/delete with security scanning settings, (3) manage instance registries (sync targets) - create/list/show/update/delete, (4) manage instance repositories - list/show/delete/update, (5) manage instance artifacts (image versions) - list/show/delete/scan, (6) manage instance credentials - long-term and temporary, (7) manage instance endpoints - internal/public access, (8) manage instance domains - add/list/show/delete/update, (9) check instance statistics and job status. Trigger: user mentions "SWR enterprise instance", "SWR 企业实例", "SWR 企业版", "企业仓库实例", "SWR instance", "SWR 专业版", "swr.ee", "instance namespace", "instance registry", "instance repository", "instance artifact", "instance credential", "instance endpoint", "instance domain", "企业仓库", "实例管理", "同步目标仓库", "sync target"
As a process A 85/100 · Runs to the end — no weak spots found
How to improve
- Shorten the description to 1024 characters.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 21. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
description-longdescription is 1034 chars, limit 1024 - warning
body-longSKILL.md body ≈ 7420 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "id"
Process rating: all ten parameters 85/100
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Failures and branches. 10 branches
- 70Execution cost. Instruction body is 7420 tokens
- 100Steps. 99 steps
- 100Result and completion. Output format and completion criterion are stated
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 13 top-level sections: this looks like several domains in one skill
- 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 1033: 120–800 characters recommended
- +1No license
- +2Single-language instructions
- +5Description quotes 16 example trigger phrases
- +4Structure: 28 headings
- +3Step-by-step instructions: 99 items
- +3Output format is stated explicitly
- +4Has examples (11 code blocks)
- +4Reference files are cited in the instructions (18 of 18)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.