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CB huawei-cloud-rds-list

Query the list of Huawei Cloud RDS (Relational Database Service, 云数据库) instances under the current tenant / project and return the RDS instance NAMES. By default the skill prints only the instance names (one per line); with extra flags it also returns id, status, engine type, flavor, private IPs and created time. Supports filtering by instance name, id, type (Single/Ha/Replica), datastore engine (MySQL/PostgreSQL/SQLServer/MariaDB) and VPC, plus pagination via limit/offset. Uses the KooCLI command `hcloud RDS ListInstances --cli-region={region}` (primary) or the huaweicloudsdkrds Python SDK (fallback). Read-only — never creates, modifies, deletes, restarts or stops any RDS instance. Use this skill whenever the user wants to list/inspect the RDS instances of the tenant or query the RDS instance name list, e.g. for database inventory, daily inspection, or cost review. Triggers include: "list RDS", "RDS list", "query RDS names", "RDS实例列表", "查询RDS", "RDS实例名称", "rds list", "how many RDS", "RDS inventory", "list database instances", "云数据库实例".

Not recommendedcritical or high security findings
ClawHub Agent Skills author: huaweiclouddev-dev v1.0.0 MIT-0 12 files · 2 scripts body ≈ 1 598 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Query the list of Huawei Cloud RDS (Relational Database Service, 云数据库) instances under the current tenant / project and return the RDS instance NAMES.

As a process B 70/100 · Nearly there — weak spots: result and completion, running it twice, progress reporting

ProcedureMySQLPostgreSQLData 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
74/100
safety, quality, tests
Safety 60%
82
Quality 40%
62
Run on models
none yet
Process rating
B
70/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Result and completion w 14
40
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. Shorten the description to 1024 characters.
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 · 1

  • high Dangerous commands cmd-pipe-to-shell references/cli-installation-guide.md:8
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -sSL https://cn-n…com/hcli/install.sh | bash

Files scanned: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1053 chars, limit 1024

Process rating: all ten parameters 70/100

  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 2 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 24 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1598 tokens
  • low The response is described with custom markup (10 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 1052: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -32 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 10 example trigger phrases
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: suspicious
The skill is mostly a read-only Huawei RDS listing helper, but it automatically sends more execution data than it clearly discloses to an external reporting endpoint.
LLM: suspicious (high) · 9 Aug 2026