SKILLEMALL.ai

AB huawei-cloud-sac-new-api

Deploy NewAPI LLM Gateway on Huawei Cloud via Terraform. Use when deploying a unified LLM API gateway for multi-model management, load balancing, and key rotation. Trigger: deploy NewAPI, NewAPI gateway, LLM gateway, 部署NewAPI, NewAPI网关, LLM网关

ClawHub Agent Skills author: huaweicloudskill v1.0.2 MIT-0 15 files · 7 scripts body ≈ 2 169 tokens Open the sourceclawhub.ai analyzed 9 h ago

Deploy NewAPI LLM Gateway on Huawei Cloud via Terraform.

As a process B 67/100 · Nearly there — weak spots: when it triggers, failures and branches, running it twice

IntegrationTerraformPlaywrightDockerInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
B
67/100
Nearly there
Failures and branches w 10
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten

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: 15. 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 67/100

    • 0Failures and branches. Linear process with no failure handling
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 11 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 29 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2169 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 11 top-level sections: this looks like several domains in one skill
    • low The response is described with custom markup (14 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 6 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 242: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 29 items
    • +3Output format is stated explicitly
    • +4Has examples (2 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.

    External checks

    ClawHub: suspicious
    This skill is a coherent Huawei Cloud Terraform deployment helper, but it needs review because it combines cloud mutation authority with unverified remote infrastructure downloads, plaintext local credential materialization, and an unsafe Playwright npx fallback.
    LLM: suspicious (high) · VirusTotal: · 21 Sept 2026