AC qa-input-validation
在测试工作流开始前检查用户输入是否包含有效的需求描述和足够的上下文信息。当用户的测试请求过于模糊（只说"帮我测试"却没说测什么）、缺少必要的需求文档或上下文时，应当使用此技能来验证输入完整性。如果输入验证失败，必须返回缺失信息清单要求用户补充。适用于启动任何测试设计流程的第一步。 触发场景：需求不清楚、信息不够、这个需求能测吗、用户输入模糊时自动激活（第一步）。 Use when the user asks about: checking whether the user's test request contains enough context before any test design work starts.
在测试工作流开始前检查用户输入是否包含有效的需求描述和足够的上下文信息。当用户的测试请求过于模糊（只说"帮我测试"却没说测什么）、缺少必要的需求文档或上下文时，应当使用此技能来验证输入完整性。如果输入验证失败，必须返回缺失信息清单要求用户补充。适用于启动任何测试设计流程的第一步。…
As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
- 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
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 59/100
- 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
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 8 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 706 tokens
- 100Running it twice. No mutating operations
- low 10 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
- +2Single-language instructions
- +3Description length 313: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 8 items
- +4Has examples (6 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.