SKILLEMALL.ai

AB 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"

ClawHub Agent Skills author: huaweiclouddev-dev v1.0.0 MIT-0 17 files body ≈ 9 990 tokens Open the sourceclawhub.ai analyzed 12 h ago

Huawei Cloud SWR enterprise instance management skill using hcloud CLI.

As a process B 78/100 · Nearly there — weak spots: execution cost

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
B
78/100
Nearly there
Execution cost w 6
40
Failures and branches w 10
55
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 17. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 9990 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "id"

Process rating: all ten parameters 78/100

  • 40Execution cost. Instruction body is 9990 tokens: crowds the task out of the window
  • 55Failures and branches. 1 branches
  • 60Tools and files. Uses tools (bash, web) 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. 97 steps
  • 100Result and completion. Output format and completion criterion are stated
  • 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 14 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (4 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 1008: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 14 example trigger phrases
  • +4Structure: 33 headings
  • +3Step-by-step instructions: 97 items
  • +3Output format is stated explicitly
  • +4Has examples (11 code blocks)
  • +4Reference files are cited in the instructions (15 of 15)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: clean
This is a disclosed cloud registry management skill with powerful admin actions, but I found no hidden or deceptive behavior.
LLM: benign (high) · VirusTotal: · 3 Aug 2026