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BF test-case-design

这项技能应在为特定场景或者功能生成测试用例、编写测试用例、设计测试用例、补充异常场景和边界值、设计复杂交互测试用例、输出标准化测试用例，比如：功能测试、兼容性测试、适应性测试、API 测试、UI 可视化测试、移动端/应用/小程序/H5/桌面/PC 网页测试、AI agent测试、联动测试或路由测试等场景中使用。仅专注于编写测试用例，不涉及测试计划、测试策略或自动化脚本。

ClawHub Agent Skills author: CassianRan v1.0.8 MIT-0 20 files body ≈ 554 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 35/100 · Will not run — References files that are not bundled: references/core-capabilities/functional-testing.md中的第一部分：测试用例设计方法+第二部分：测试用例质量标准, references/platform/{平台}.md, references/checklists/common-checklist.md中的一、功能测试检查清单

IntegrationAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
99
Quality 40%
56
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/core-capabilities/functional-testing.md中的第一部分：测试用例设计方法+第二部分：测试用例质量标准, references/platform/{平台}.md, references/checklists/common-checklist.md中的一、功能测试检查清单
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Risky intent intent-offensive-security skill-card.md:14
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    Developers, QA engineers, and product teams use this Chinese-language skill to produce structured Markdown test cases for functional testing, API testing, AI Agent testing, and platform-specific scena

Files scanned: 20. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/core-capabilities/functional-testing.md中的第一部分：测试用例设计方法+第二部分：测试用例质量标准
  • warning missing-ref reference to a missing file: references/platform/{平台}.md
  • warning missing-ref reference to a missing file: references/checklists/common-checklist.md中的一、功能测试检查清单
  • warning missing-ref reference to a missing file: references/checklists/{平台}-checklist.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/core-capabilities/functional-testing.md中的第一部分：测试用例设计方法+第二部分：测试用例质量标准, references/platform/{平台}.md, references/checklists/common-checklist.md中的一、功能测试检查清单
  • 0Tools and files. 4 referenced file(s) missing: references/core-capabilities/functional-testing.md中的第一部分：测试用例设计方法+第二部分：测试用例质量标准, references/platform/{平台}.md, references/checklists/common-checklist.md中的一、功能测试检查清单
  • 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
  • 100Steps. 18 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 554 tokens
  • 100Running it twice. No mutating operations

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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 186: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 18 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.

External checks

ClawHub: clean
This is a documentation-only test-case writing skill with some imperfect sample credential placeholders, but no evidence of hidden execution, data theft, or unsafe persistence.
LLM: benign (high) · VirusTotal: · 12 Jun 2026