SKILLEMALL.ai
GitHub ↗ RU Sign in

BF alibabacloud-solution-deploy

Deploy Alibaba Cloud official tech solutions. Trigger when the user mentions an Alibaba Cloud solution, pastes a solution URL (aliyun.com/solution/tech-solution/...), or wants to deploy an official solution template. Covers both Terraform module deployment and CLI step-by-step execution paths.

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.2 MIT-0 16 files · 2 scripts body ≈ 3 255 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 51/100 · Will not run — References files that are not bundled: examples/complete/

ProcedureTerraformInfrastructuretype 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
B
81/100
safety, quality, tests
Safety 60%
78
Quality 40%
85
Run on models
none yet
Process rating
F
51/100
Will not run
References files that are not bundled: examples/complete/
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
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

  1. The text references files that are not there: add them or drop the references.
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 · 6

✓ No critical or high findings

Medium and low: 6
  • medium Dangerous commands cmd-privilege references/aliyun-cli-installation-guide.md:30
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/aliyun-cli-installation-guide.md:45
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/aliyun-cli-installation-guide.md:58
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/aliyun-cli-installation-guide.md:71
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • low Secrets in code secret-high-entropy-token references/alicloud-tech-solutions-all.md:90
    High-entropy token-like string (may be an id, hash or a credential)
    | Qwen3 升级版，0元即刻上手 | [查看](https://www.aliyun.com/solution/tech-solution/use-…35b/2883727) | [基于 GPU 云服务器部署 Qwen3](https://www.aliyun.com/solution/tech-solution/use-…ran
  • low Risky intent intent-offensive-security references/alicloud-tech-solutions-all.md:255
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    | 数据守护：防勒索攻击数据保障 | [查看](https://www.aliyun.com/solution/tech-solution/use-the-anti-ransomware-feature-of-security-center-to-protect-your-data) | （暂无） | — |  |

Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: examples/complete/

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: examples/complete/
  • 0Tools and files. 1 referenced file(s) missing: examples/complete/
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 15 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 100Steps. 34 steps
  • 100Failures and branches. 6 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3255 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (4 tags): a typed call is more reliable

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
  • +1No license
  • +2Single-language instructions
  • +3Description length 294: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 34 items
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)
  • +3All 7 scripts are documented

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

External checks

ClawHub: suspicious
This skill is a coherent Alibaba Cloud deployment helper, but it deserves Review because it can create or delete cloud resources and sends full failed commands and errors to a remote diagnostic API without clear consent or redaction.
LLM: suspicious (high) · VirusTotal: · 29 May 2026