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AC alibabacloud-waf-cname-config-export

Batch export Alibaba Cloud WAF 3.0 CNAME-based domain configuration to Excel. Use when the user needs "export WAF domain config", "WAF onboarding checklist", "WAF domain audit", or "WAF config inspection".

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.1 MIT-0 8 files body ≈ 2 212 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Batch export Alibaba Cloud WAF 3.0 CNAME-based domain configuration to Excel. Use when the user needs "export WAF domain config", "WAF onboarding checklist"…

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ProcedureExcelData 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
93/100
safety, quality, tests
Safety 60%
91
Quality 40%
96
Run on models
none yet
Process rating
C
63/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • medium Dangerous commands cmd-pipe-to-shell scripts/alibabacloud_waf_cname_config_export.py:36
      Downloads and executes remote code from an unrecognised host (pipe to shell) (string literal in code, not executed)
      print("  [Error] `aliyun` CLI not found. Install via: curl -fsSL https://aliyuncli.alicdn.com/setup.sh | bash")
      code literal
    • low Dangerous commands cmd-privilege references/cli-installation-guide.md:30
      Privilege escalation / world-writable permissions (documentation of a security skill)
      sudo mv aliyun /usr/local/bin/
      security skill
    • low Dangerous commands cmd-privilege references/cli-installation-guide.md:45
      Privilege escalation / world-writable permissions (documentation of a security skill)
      sudo mv aliyun /usr/local/bin/
      security skill
    • low Dangerous commands cmd-privilege references/cli-installation-guide.md:58
      Privilege escalation / world-writable permissions (documentation of a security skill)
      sudo mv aliyun /usr/local/bin/
      security skill
    • low Dangerous commands cmd-privilege references/cli-installation-guide.md:71
      Privilege escalation / world-writable permissions (documentation of a security skill)
      sudo mv aliyun /usr/local/bin/
      security skill

    Files scanned: 8. 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 63/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 9 steps, 2 vague phrases
    • 100Failures and branches. 3 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2212 tokens
    • 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)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +3Description length 205: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 9 items
    • +4Has examples (9 code blocks)
    • +4Reference files are cited in the instructions (5 of 5)
    • +3All 1 scripts are documented

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

    External checks

    ClawHub: suspicious
    The skill appears to perform a real Alibaba Cloud WAF export task, but it should be reviewed because it handles cloud credentials and sensitive WAF configuration with incomplete disclosure and an unnecessary extra API probe.
    LLM: suspicious (medium) · VirusTotal: · 2 Jun 2026