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CF alibabacloud-cms-dataset

Alicloud CMS Dataset lifecycle management and querying skill. Covers listing, inspecting, creating, updating, deleting datasets and executing dataset queries via the aliyun CLI (CMS API version 2024-03-30). Triggers: "CMS dataset", "数据集", "创建数据集", "查询数据集", "dataset 查询", "ExecuteQuery", "CreateDataset", "GetDataset", "ListDatasets", "UpdateDataset", "DeleteDataset".

Not recommendedcritical or high security findings
ClawHub Agent Skills author: alibabacloud-skills-team v0.0.1 MIT-0 7 files body ≈ 3 162 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 54/100 · Will not run — References files that are not bundled: ?!.*__

IntegrationData 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
C
68/100
safety, quality, tests
Safety 60%
62
Quality 40%
78
Run on models
none yet
Process rating
F
54/100
Will not run
References files that are not bundled: ?!.*__
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
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. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  3. 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 · 5

  • high Dangerous commands cmd-pipe-to-shell references/cli-installation-guide.md:102
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://aliyuncli.alicdn.com/setup.sh | bash
Medium and low: 4
  • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:30
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:45
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:58
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:71
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/

Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: ?!.*__

Process rating: all ten parameters 54/100

Will not run. References files that are not bundled: ?!.*__
  • 0Tools and files. 1 referenced file(s) missing: ?!.*__
  • 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
  • 70Failures and branches. 9 branches
  • 85Steps. 28 steps, 1 vague phrases
  • 100Result and completion. Output format and completion criterion are stated
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3162 tokens
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 8 example trigger phrases
  • +3Description length 367: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 28 items
  • +3Output format is stated explicitly
  • +4Has examples (13 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: suspicious
The skill is mostly coherent for Alibaba Cloud CMS dataset management, but it needs Review because it can create workspaces and mutate or delete real cloud resources with under-scoped confirmation around some actions.
LLM: suspicious (high) · VirusTotal: · 29 May 2026