BC mocklab
MockLab 是一个**智能接口工具箱**，支持 Mock 数据生成、请求转发、数据复现——接口开发调试一站式解决。 支持任意格式的接口文档（Markdown、Word、Java 源码、纯文本等）和任意结构（表格、嵌套 JSON、加密字段、数组对象等）。模型自动理解文档并驱动整个流程：解析文档 → 生成 Schema → 启动 Mock Server → 打开 UI。 触发词包括："启动 MockLab"、"创建一个 Mock Server"、"帮我 mock 这个接口"、"对接第三方接口"等。 ⚠️ AI 生成 Schema 前必须先阅读参考示例： - `references/demo.json` — 完整 Schema 模板（如何写 interface / inner_schema / 字段规则） - `references/demo__实际返回示例.json` — Python 代码对每个规则的【实际生成结果】 - `references/field_keys.md` — 字段 Key 命名规范（铁律：必须照抄文档第一列） AI 必须严格遵守 field_keys.md 的命名规则，Schema field.name 必须与接口文档一字不差，禁止自己发明或转换字段名。
As a process C 53/100 · Has gaps — 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: 17. 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 53/100
- 0Result and completion. Does not say what the result is
- 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
- 100Tools and files. No external tools needed
- 100Steps. 28 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1294 tokens
- 100Running it twice. No mutating operations
- 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -2localhost URLs: will not work for another user
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 549: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 28 items
- +4Has examples (12 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.