AD 需求生成用例
从需求文档自动生成全面覆盖的测试用例，并支持导出为 XMind 格式。 当用户上传需求文档（Word、PDF、Markdown、TXT）并要求生成测试用例时，必须触发本技能。 触发关键词：上传需求文档、解析需求、生成测试用例、测试用例转 XMind、 需求拆解、需求分析生成测试、全面测试覆盖、导出 XMind、生成脑图、测试点、测试场景。 只要用户上传了任何文档并提到「测试」「用例」「XMind」「需求拆解」「覆盖」等， 即使描述不完整，也应立即触发本技能，不要等待更多信息。
As a process D 41/100 · 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.
For the model run — optional
- 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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 41/100
- 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
- 40Consistency. Frontmatter name (需求生成用例) differs from the folder (req-to-testcase)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 24 steps
- 100Execution cost. Instruction body is 872 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
- +1No license
- +2Single-language instructions
- +3Description length 240: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 24 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.
External checks
ClawHub: clean
This skill does what it claims, but users should be aware it can read uploaded requirement documents and create XMind output files.
LLM: benign (high) · VirusTotal: · 29 May 2026