AB huawei-cloud-mrs-redis-meta-check
Checks Redis cluster metadata files (nodes-*.conf) for integrity, detecting 7 categories of metadata issues that cause Redis instance startup failures, connection anomalies, and fault alerts. 执行7项检查：slot槽位完整性、master/slave实例个数、文件格式(4个模块)、文件名端口一致性、端口关系、主备关系、myself标记。 Use this skill when the user mentions Redis metadata file checks, nodes-*.conf checks, or Redis cluster configuration checks. Use it whenever the user asks about Redis startup failures or connection anomalies. Trigger: "Redis元数据检查", "Redis nodes检查", "Redis cluster配置检查", "检查Redis元数据", "Redis元数据校验", "Redis启动失败排查"
Checks Redis cluster metadata files (nodes-.conf) for integrity, detecting 7 categories of metadata issues that cause Redis instance startup failures…
As a process B 76/100 · Nearly there — no weak spots found
How to improve
- 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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 5244 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 76/100
- 60Tools and files. Uses tools (bash, python, node) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 5244 tokens
- 85Steps. 104 steps, 3 vague phrases
- 100Failures and branches. 4 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- 100Progress reporting. Reports progress
- 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
- +4Description does not say when NOT to use the skill (false activations)
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +5Description quotes 6 example trigger phrases
- +3Description length 578: enough signal without eating the budget
- +4Structure: 31 headings
- +3Step-by-step instructions: 104 items
- +3Output format is stated explicitly
- +4Has examples (9 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.