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CB huawei-cloud-gaussdb-instance-management

Huawei Cloud GaussDB distributed database (GaussDB for MySQL 兼容版 and GaussDB for openGauss 分布式版) management and diagnosis skill. Provides 12 huawei_* actions across three capability tiers: (1) Query (R3, read-only auto-execute) — list/get instances, list flavors, list databases; (2) Analyze (R3, read-only auto-execute) — deployment-form analysis (shards/readonly nodes/engine version) and security configuration analysis (security group port/SSL); (3) Manage (R2/R1, preview + user confirmation) — create instance, create backup, add readonly node, add sharding node, update database permission, delete instance. Preserves 3 Critical Warnings: shard key is permanent once set, distributed GaussDB requires at least 3 nodes, and MySQL-compatible vs openGauss are separate products with pinned engine versions. Declares hcloud GaussDB CLI dependency; supports both AK/SK credentials and a locally configured hcloud profile. Triggers include: "GaussDB", "华为云GaussDB", "分布式数据库", "GaussDB(for MySQL)", "GaussDB(for openGauss)", "openGauss", "sharding", "分片", "添加分片节点", "只读节点", "readonly node", "GaussDB实例", "GaussDB备份", "数据库权限", "部署形态分析", "安全配置分析", "GaussDB诊断", "GaussDB运维", "gaussdb", "HTAP", "GaussDB部署检查", "GaussDB安全基线".

ClawHub Agent Skills author: huaweicloudskill v1.0.1 MIT-0 8 files · 1 script body ≈ 5 882 tokens Open the sourceclawhub.ai↗ analyzed 8 d ago

Huawei Cloud GaussDB distributed database (GaussDB for MySQL 兼容版 and GaussDB for openGauss 分布式版) management and diagnosis skill.

As a process B 69/100 · Nearly there — weak spots: result and completion, running it twice, progress reporting

AnalyzerMySQLData 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
78/100
safety, quality, tests
Safety 60%
100
Quality 40%
46
Run on models
none yet
Process rating
B
69/100
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

The same skill appears in 1 more place: ClawHub

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. Shorten the description to 1024 characters.
  3. 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 · 0

✓ No critical or high findings

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1221 chars, limit 1024
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 5882 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 69/100

  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 25 mutating operations with no state check
  • 40Result 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, python, node) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5882 tokens
  • 100Steps. 19 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 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
  • low The response is described with custom markup (16 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 1220: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 18 example trigger phrases
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 19 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 46.

External checks

ClawHub: suspicious
This is a disclosed Huawei Cloud GaussDB administration skill, but it deserves review because it can automatically inspect sensitive cloud database inventory and security posture using local cloud credentials.
LLM: suspicious (high) · 21 Sept 2026