SKILLEMALL.ai

AC cloudforge-automation-pro

云锻造自发化专业版是面向团队与企业的全功能多云基础设施即代码编排系统。不仅覆盖单云IaC基础能力,更包含多云统一管控、Ansible配置管控、CI/CD部署流水线、合规策略审计、灾备恢复、成本调优与安全加固,确保企业级云基础设施安全、合规、高效。Use when 需要安全检测、合规审计、漏洞扫描、加密防护时使用。不适用于渗透测试未授权目标。

ClawHub Agent Skills author: 天轰穿 v1.0.0 MIT-0 2 files body ≈ 3 609 tokens Open the sourceclawhub.ai analyzed 2 d ago

云锻造自发化专业版是面向团队与企业的全功能多云基础设施即代码编排系统。不仅覆盖单云IaC基础能力,更包含多云统一管控、Ansible配置管控、CI/CD部署流水线、合规策略审计、灾备恢复、成本调优与安全加固,确保企业级云基础设施安全、合规、高效。Use when…

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureTerraformAWSGoogle CloudAzureInfrastructuretype 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
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "slug"
    • note frontmatter-key unknown frontmatter key "displayName"
    • note frontmatter-key unknown frontmatter key "summary"
    • note frontmatter-key unknown frontmatter key "tools"

    Process rating: all ten parameters 51/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 2 mutating operations with no state check
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 29 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3609 tokens
    • 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +3Description length 171: enough signal without eating the budget
    • +4Structure: 33 headings
    • +3Step-by-step instructions: 29 items
    • +4Has examples (19 code blocks)
    • +1License stated

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

    External checks

    ClawHub: suspicious
    This is a coherent infrastructure automation skill, but it includes production cloud deployment examples that can change real resources without enough built-in user control.
    LLM: suspicious (high) · 14 Aug 2026