SKILLEMALL.ai

BB huawei-cloud-gaussdb-count

Count the number of Huawei Cloud GaussDB instances in a region and output the count. Covers both GaussDB for openGauss and GaussDB (MySQL-compatible) instances. Returns the authoritative total_count from the list API, so the reported number is always correct. Read-only — never creates, modifies or deletes any resource. Use for GaussDB database inventory, daily inspection, or cost review. Triggers include: count GaussDB, GaussDB count, GaussDB instance count, how many GaussDB instances, GaussDB数量, GaussDB实例数量, 查询GaussDB数量, GaussDB总数, 统计GaussDB实例数.

ClawHub Agent Skills author: huaweiclouddev-dev v1.0.1 MIT-0 20 files · 1 script body ≈ 1 316 tokens Open the sourceclawhub.ai analyzed 2 d ago

Count the number of Huawei Cloud GaussDB instances in a region and output the count.

As a process B 65/100 · Nearly there — weak spots: result and completion, when it triggers, progress reporting

GeneratorMySQLData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
85
Quality 40%
85
Run on models
none yet
Process rating
B
65/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
Result and completion w 14
40
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 · 7

    ✓ No critical or high findings

    Medium and low: 7
    • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:12
      Privilege escalation / world-writable permissions
      sudo mv hcloud /usr/local/bin/
    • medium Dangerous commands cmd-privilege references/cli-installation-guide.md:18
      Privilege escalation / world-writable permissions
      sudo mv hcloud /usr/local/bin/
    • low Risky intent intent-offensive-security references/security-audit-report.txt:19
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      [WARNING]  — Privilege Escalation
      detector
    • low Dangerous commands cmd-privilege references/security-audit-report.txt:21
      Privilege escalation / world-writable permissions (documentation of a security skill)
      Snippet: sudo mv hcloud /usr/local/bin/
      security skill
    • low Risky intent intent-offensive-security references/security-audit-report.txt:24
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      [WARNING]  — Privilege Escalation
      detector
    • low Dangerous commands cmd-privilege references/security-audit-report.txt:26
      Privilege escalation / world-writable permissions (documentation of a security skill)
      Snippet: sudo mv hcloud /usr/local/bin/
      security skill
    • low Risky intent intent-offensive-security references/security-audit-report.txt:31
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
      [WARNING] Privilege Escalation
      detector

    Files scanned: 20. 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 65/100

    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 40Result and completion. Does not say what the result is
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 18 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1316 tokens
    • 100Running it twice. No mutating operations

    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
    • -31 of 2 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 552: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 18 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (5 of 6)

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

    External checks

    ClawHub: clean
    This skill is a disclosed, read-only Huawei Cloud GaussDB instance counter, with minor scoping cautions around broad trigger phrases and manual CLI installation steps.
    LLM: benign (high) · VirusTotal: · 5 Aug 2026