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CB alibabacloud-polardb-mysql-inspection

Health inspection for Alibaba Cloud PolarDB MySQL instances, generating visual HTML reports. Supports single-instance, multi-instance, and full-account inspection modes. Trigger keywords:PolarDB inspection, instance health check, database inspection report, CPU/memory/IOPS usage, disk space analysis, table space usage, largest tables, top table space, slow query statistics, slow SQL analysis, alert records, alert history, connection monitoring, active sessions, database performance check.

ClawHub Agent Skills author: alibabacloud v0.0.2 MIT-0 29 files · 19 scripts body ≈ 4 061 tokens Open the sourceclawhub.ai↗ analyzed 8 d ago

Health inspection for Alibaba Cloud PolarDB MySQL instances, generating visual HTML reports.

As a process B 75/100 · Nearly there — weak spots: running it twice

GeneratorMySQLData and analyticsInfrastructuretype 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
86/100
safety, quality, tests
Safety 60%
85
Quality 40%
88
Run on models
none yet
Process rating
B
75/100
Nearly there
Running it twice w 4
30
When it triggers w 12
50
Failures and branches w 10
55
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 · 3

    ✓ No critical or high findings

    Medium and low: 3
    • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:37
      Privilege escalation / world-writable permissions
      sudo mv aliyun /usr/local/bin/
    • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:43
      Privilege escalation / world-writable permissions
      sudo mv aliyun /usr/local/bin/
    • medium Dangerous commands cmd-pipe-to-shell SKILL.md:99
      Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)
      > run `curl -fsSL https://aliyuncli.alicdn.com/setup.sh | bash` to install/update,
      quoted

    Files scanned: 29. 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 75/100

    • 30Running it twice. 2 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (bash, web, python, node) that frontmatter does not declare
    • 70Execution cost. Instruction body is 4061 tokens
    • 85Steps. 58 steps, 3 vague phrases
    • 100Result and completion. Output format and completion criterion are stated
    • 100Inputs and preconditions. Inputs and preconditions are listed
    • 100Consistency. Name and required fields are in place
    • 100Progress reporting. Reports progress
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 11 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)
    • -316 of 19 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 493: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 58 items
    • +3Output format is stated explicitly
    • +4Has examples (14 code blocks)
    • +4Reference files are cited in the instructions (7 of 7)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    The skill mostly matches its PolarDB inspection purpose, but it under-discloses persistent local CLI/plugin changes and a non-read-only backend task permission.
    LLM: suspicious (high) · 9 Oct 2026