SKILLEMALL.ai

AB huawei-cloud-obs-website-host

Configure Huawei Cloud OBS static website hosting with Python SDK and a custom domain. Use when the user needs to enable or repair OBS website hosting, set index or error pages, expose an existing bucket for public website access through a custom domain, or connect that domain through Huawei Cloud DNS when Huawei manages the zone. Triggers include OBS static website hosting, website endpoint, index page, error page, public-read bucket website access, custom domain CNAME, Huawei Cloud DNS, setBucketWebsite. 中文触发词包括:OBS 静态网站托管、网站托管、自定义域名解析。

ClawHub Agent Skills author: huaweicloud-skills-team v1.0.1 MIT-0 9 files body ≈ 4 329 tokens Open the sourceclawhub.ai analyzed 3 d ago

Configure Huawei Cloud OBS static website hosting with Python SDK and a custom domain.

As a process B 77/100 · Nearly there — no weak spots found

IntegrationSoftware developmentSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
99
Quality 40%
94
Run on models
none yet
Process rating
B
77/100
Nearly there
Tools and files w 18
60
Result and completion w 14
60
Inputs and preconditions w 11
70
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: 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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Secrets in code secret-private-key references/obs-python-sdk-website.md:48
      Private key material (placeholder value)
      "privateKey": "-----BEGIN PRIVATE KEY----- …
      placeholder

    Files scanned: 9. 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 77/100

    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Failures and branches. 6 branches
    • 70Execution cost. Instruction body is 4329 tokens
    • 85Steps. 106 steps, 1 vague phrases
    • 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 17 top-level sections: this looks like several domains in one skill
    • low The response is described with custom markup (18 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 544: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 106 items
    • +3Output format is stated explicitly
    • +4Has examples (7 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)
    • +3All 2 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: suspicious
    The skill is coherent for Huawei OBS website setup, but it deserves review because it can use local Huawei credentials and make live bucket or DNS changes with some under-scoped credential handling.
    LLM: suspicious (high) · 3 Sept 2026