SKILLEMALL.ai

AB huawei-cloud-swr-image-automation

Huawei Cloud SWR (Software Repository for Container) image automation and operations skill using hcloud CLI. Use this skill when the user wants to: (1) configure cross-region image sync (auto or manual), (2) manage SWR triggers for auto-deploy to CCE/CCI, (3) query available sync target regions, (4) check sync job status, (5) create/update/delete trigger configurations. Trigger: user mentions "SWR automation", "SWR 自动化", "镜像同步", "SWR sync", "跨区域同步", "cross-region sync", "触发器", "SWR trigger", "自动部署", "auto deploy", "镜像复制", "image replication", "SWR 触发器"

ClawHub Agent Skills author: shijingcheng v0.1.0 MIT-0 8 files body ≈ 4 481 tokens Open the sourceclawhub.ai analyzed 3 d ago

Huawei Cloud SWR (Software Repository for Container) image automation and operations skill using hcloud CLI.

As a process B 70/100 · Nearly there — weak spots: failures and branches, progress reporting

IntegrationSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
95
Run on models
none yet
Process rating
B
70/100
Nearly there
Failures and branches w 10
0
Progress reporting w 2
0
Tools and files w 18
60
the three weakest of ten parameters · all ten

The same skill appears in 2 more places: ClawHub, ClawHub

How to improve

    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: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "id"

    Process rating: all ten parameters 70/100

    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Execution cost. Instruction body is 4481 tokens
    • 100Steps. 61 steps
    • 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
    • low 11 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)
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 8 example trigger phrases
    • +3Description length 558: enough signal without eating the budget
    • +4Structure: 29 headings
    • +3Step-by-step instructions: 61 items
    • +3Output format is stated explicitly
    • +4Has examples (8 code blocks)
    • +4Reference files are cited in the instructions (6 of 6)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.

    External checks

    ClawHub: clean
    This skill is a disclosed Huawei Cloud SWR automation guide, but users should treat its sync and auto-deploy commands as real cloud changes.
    LLM: benign (medium) · VirusTotal: · 17 Jun 2026