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BB alibabacloud-dataworks-data-quality

DataWorks Data Quality (Read-Only): Query rule templates, data quality monitors (scans), alert rules, and scan run records/logs. Uses aliyun CLI to call dataworks-public OpenAPI (2024-05-18). All operations are read-only — no create, update, or delete. Trigger keywords: DataWorks data quality, quality rule, quality template, quality monitor, quality scan, scan run, quality check result, quality alert rule, quality run log, DQ monitor, data quality execution, quality pass/fail, list quality scans, get quality scan, query quality result, quality monitoring detail, quality run history. Not triggered: creating/updating/deleting quality rules or monitors, data source management, compute resource management, resource group management, workspace member management, data development tasks, scheduling configuration.

ClawHub Agent Skills author: alibabacloud-skills-team v0.0.1-beta.2 MIT-0 5 files body ≈ 5 824 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process B 69/100 · Nearly there — weak spots: result and completion

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
B
81/100
safety, quality, tests
Safety 60%
85
Quality 40%
75
Run on models
none yet
Process rating
B
69/100
Nearly there
Result and completion w 14
0
When it triggers w 12
50
Tools and files w 18
60
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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:20
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:29
    Privilege escalation / world-writable permissions
    sudo mv aliyun /usr/local/bin/
  • medium Dangerous commands cmd-pipe-to-shell SKILL.md:43
    Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)
    1. **Aliyun CLI >= 3.3.3**: `aliyun version` (If not installed or version too low, run `curl -fsSL https://aliyuncli.alicdn.com/setup.sh | bash` to install/update. See [references/cli-installation-gui
    quoted

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5824 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 69/100

  • 0Result and completion. Does not say what the result is
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 70Execution cost. Instruction body is 5824 tokens
  • 85Steps. 101 steps, 1 vague phrases
  • 100Inputs and preconditions. Inputs and preconditions are listed
  • 100Failures and branches. 16 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • 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)
  • +3Description length 817: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 101 items
  • +4Has examples (11 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This is a coherent read-only Alibaba Cloud DataWorks data-quality helper, with disclosed CLI setup and credential use.
LLM: benign (high) · VirusTotal: · 29 May 2026