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AB huawei-cloud-ecs-alert

Automate batch creation and management of Huawei Cloud CES alarm rules for ECS instances using hcloud CLI v7.2.2+. Use this skill to: (1) batch create alarms with templates (web/database), (2) update SMN notifications, (3) query ECS metrics and alarm lists.

ClawHub Agent Skills author: huaweicloud-skills-team v1.0.3 MIT-0 21 files · 10 scripts body ≈ 4 784 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Automate batch creation and management of Huawei Cloud CES alarm rules for ECS instances using hcloud CLI v7.2.2+. Use this skill to: (1) batch create alarms…

As a process B 70/100 · Nearly there — weak spots: when it triggers, progress reporting

ProcedureInfrastructureData and analyticstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
B
70/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
Tools and files w 18
60
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: 21. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "triggers"

    Process rating: all ten parameters 70/100

    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Failures and branches. 2 branches
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Execution cost. Instruction body is 4784 tokens
    • 85Steps. 49 steps, 1 vague phrases
    • 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
    • low 17 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • -218 emoji in the instructions: noise for the model
    • -32 of 11 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 257: enough signal without eating the budget
    • +4Structure: 27 headings
    • +3Step-by-step instructions: 49 items
    • +3Output format is stated explicitly
    • +4Has examples (10 code blocks)
    • +4Reference files are cited in the instructions (8 of 8)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: suspicious
    This Huawei Cloud alarm skill mostly matches its stated job, but it needs review because it can change cloud monitoring and notification settings while asking for broad permissions and using loose triggers and setup guidance.
    LLM: suspicious (high) · 28 Aug 2026