BB 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".
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
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- Shorten the description to 1024 characters.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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-longdescription is 1221 chars, limit 1024 - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
body-longSKILL.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.