SKILLEMALL.ai

BD auto-test-assistant

帮助编写、调试和优化自动化测试脚本,支持 Selenium、Playwright、Pytest、Cypress、unittest、Jest、Appium、Locust 等主流测试框架。当用户需要编写自动化测试、调试测试脚本、分析测试失败原因、生成测试报告、优化测试代码、或询问测试最佳实践时使用此技能。也适用于用户提到"写测试"、"测试脚本"、"自动化测试"、"test case"、"unit test"、"e2e test"、"API测试"、"性能测试"、"Page Object"等场景。支持生成 Page Object 模式代码、CI/CD 配置、Allure 测试报告。

ClawHub Agent Skills author: ShyLamb-token v1.0.0 MIT-0 2 files body ≈ 3 668 tokens Open the sourceclawhub.ai analyzed 2 d ago

帮助编写、调试和优化自动化测试脚本,支持 Selenium、Playwright、Pytest、Cypress、unittest、Jest、Appium、Locust…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationPlaywrightGitHubGitLabSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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: 2. 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")

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 41 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3668 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 290: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 41 items
  • +4Has examples (14 code blocks)

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

External checks

ClawHub: clean
This is a coherent automation-testing helper skill with ordinary testing examples, but users should keep generated tests pointed at authorized non-production systems.
LLM: benign (high) · VirusTotal: · 28 Jul 2026