BD api-case-gen
通用 API 测试设计用例生成器。脚本 + AI 协作模式：脚本从 OpenAPI 规范自动提取 结构化约束并批量生成基础用例（schema 键 + 正则），AI 负责阅读所有自然语言 description 补全脚本无法理解的语义约束（字符集、复合规则、条件依赖等）。 检测参数间条件依赖/值联动/格式约束，输出覆盖正常流、异常流、边界值、参数关联、 认证校验、分页边界、CRUD 生命周期链的完整测试矩阵，并带响应字段断言。 脚本做批量，AI 做理解，二者缺一不可，最终实现 100% 约束覆盖。 当用户提到 API 测试设计、接口用例生成、测试覆盖分析、测试矩阵、接口测试用例时使用。
As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 4. 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")
Process rating: all ten parameters 48/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 4 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 101 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3388 tokens
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 13 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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 295: enough signal without eating the budget
- +4Structure: 39 headings
- +3Step-by-step instructions: 101 items
- +4Has examples (9 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.