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AB aliyun-cli

Manage Alibaba Cloud resources using the Aliyun CLI tool. Use this skill whenever the user wants to manage any Alibaba Cloud resource via the aliyun CLI, including: ECS instances, VPC networking, OSS object storage, RDS databases, SLB/CLB load balancers, RAM users/roles/policies, DNS records, or aliyun CLI setup and authentication. If the user mentions "阿里云", "Alibaba Cloud", "aliyun", "ECS", "VPC", "OSS", "RDS", "SLB", "RAM", "ACR", "Container Registry", or any Alibaba Cloud service, use this skill.

ClawHub Agent Skills author: Hambaobao v1.0.0 MIT-0 11 files body ≈ 1 410 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process B 65/100 · Nearly there — weak spots: inputs and preconditions, consistency, running it twice

IntegrationInfrastructuretype 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
92/100
safety, quality, tests
Safety 60%
90
Quality 40%
96
Run on models
none yet
Process rating
B
65/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
Consistency w 8
40
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • medium Dangerous commands cmd-privilege references/setup.md:18
      Privilege escalation / world-writable permissions
      sudo mv aliyun /usr/local/bin/
    • medium Dangerous commands cmd-privilege references/setup.md:23
      Privilege escalation / world-writable permissions
      sudo mv aliyun /usr/local/bin/

    Files scanned: 11. 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 65/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 10 mutating operations with no state check
    • 40Consistency. Frontmatter name (aliyun-cli) differs from the folder (aliyun-skills)
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 22 steps
    • 100Failures and branches. 3 branches, has a failure section
    • 100Execution cost. Instruction body is 1410 tokens
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 3 example trigger phrases
    • +3Description length 505: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 22 items
    • +3Output format is stated explicitly
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (9 of 9)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 96.

    External checks

    ClawHub: clean
    This is a disclosed Alibaba Cloud CLI helper, but it can guide powerful cloud administration actions and should be used carefully.
    LLM: benign (high) · VirusTotal: · 29 May 2026