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AC aws-cloud-architect

|-. 适合需要aws cloud architect相关能力的开发场景,提供标准化流程和配置参考. 该工具经过质量提升,针对用户反馈优化了实用性。Use。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。适用于独立开发者、企业团队和自动化工作流场景。支持中文交互，无需复杂配置即开即用。

ClawHub Agent Skills author: 天轰穿 v1.0.4 MIT-0 2 files body ≈ 2 792 tokens Open the sourceclawhub.ai↗ analyzed 16 h ago

|-. 适合需要aws cloud architect相关能力的开发场景,提供标准化流程和配置参考. 该工具经过质量提升,针对用户反馈优化了实用性。Use。Use when…

As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAWSGoogle CloudAzureInfrastructuretype 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
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
C
56/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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 56/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 100Tools and files. Tools declared in frontmatter
    • 100Steps. 83 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2792 tokens
    • low 20 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 167: enough signal without eating the budget
    • +4Structure: 49 headings
    • +3Step-by-step instructions: 83 items
    • +4Has examples (7 code blocks)
    • +1License stated

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

    External checks

    ClawHub: clean
    This Markdown-only skill helps an agent use local AWS CLI credentials for AWS audits and administration, with no hidden install code found, but users should restrict AWS permissions carefully.
    LLM: benign (medium) · VirusTotal: · 3 Aug 2026