BC huawei-cloud-kafka-replica-reassignment
Kafka 集群副本扩容与分区重分配工具：支持可变副本数（1→2、1→3、2→N）、可调磁盘使用率阈值（默认 70%）、Web UI 界面（上传 topic/broker 表格、下载模板、调整参数）、三阶段流水线（分配→合并→转 JSON）每阶段带检查门控、策略化 JSON 文件生成（大 topic 单独出文件、按 N 个 topic 打包，或在 Web UI 上按 topic 个数 / topic 分区大小自定义拆分）、格式 校验、复核报告生成。触发词：Kafka 副本扩容、加副本、副本数调整、partition reassignment、分区重 分配、reassignment json、单副本改双副本/多副本、磁盘使用率分配、dolce_main、broker-main、 topic.xls、broker.xls、kafka reassignment tool。不适用于：仅查询分区现状、非 Kafka 场景的 CSV 转换、集群装机与部署、Kafka 参数调优。
Kafka 集群副本扩容与分区重分配工具：支持可变副本数（1→2、1→3、2→N）、可调磁盘使用率阈值（默认 70%）、Web UI 界面（上传 topic/broker 表格、下载模板、调整参数）、三阶段流水线（分配→合并→转 JSON）每阶段带检查门控、策略化 JSON 文件生成（大 topic 单独出文件、按…
As a process C 52/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 18. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
edit-residuethe text marks something as outdated (lines 53, 196): check that old rules are not kept next to new ones — the full check reads the text for contradictions
Process rating: all ten parameters 52/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 2 mutating operations with no state check
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 100Steps. 29 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2881 tokens
- low No test case covers injection arriving through data
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)
- +1No license
- +2Single-language instructions
- +3Description length 439: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 29 items
- +3Output format is stated explicitly
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (5 of 5)
- +3All 8 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.